Category: Blogs

Introduction

The public cloud market alone is expected to be worth over $1 trillion by 2026, according to Forrester. There’s no doubt that over the past decade, there has been a paradigm shift in the way cloud technology has become embedded into the processes that enable businesses of all kinds.

Today, every company is, at the core of its functioning, a tech company, and cloud computing is at the heart of this change. From lowering costs to improving reach and access to powerful technology tools, to accommodating dynamic scaling of the digital infrastructure, cloud technology and the cloud experts who understand it have become the cornerstone of digital transformation in the tech landscape globally.

For the purpose of this blog, we’ll shed light on how cloud experts help enterprises innovate using the cloud.

How Do Cloud Experts Drive Innovation?

With technology becoming a driver of value rather than an enablement support for business, cloud experts have become the builders of the digital backbone for enterprises. Let us explore four ways in which they drive innovation in the tech industry:

Empowering Tech Diversity

The beauty of cloud computing lies in its flexibility to accommodate enterprise-specific workflows and operations. However, realizing such flexibility entails the support and expertise of cloud partners who can advise on and implement strategies to provision, deploy, and scale cloud resources as per the enterprise’s needs.

To that end, a cloud expert must be adept at IaaS, SaaS, PaaS, and BaaS enablement. This expertise holds immense promise for enterprises. For example, enterprises can then choose to build their application without worrying about storage, computational platform, or software functionality. They can leverage Infrastructure as a Service (IaaS) capabilities to autonomously manage their storage and hardware needs.

Additionally, modern cloud applications can be designed for greater scalability and flexibility by leveraging innovative architectures like microservices. Microservices allows applications to be developed as a combination of modules. This helps in scenarios like ongoing evolution, fault recovery, focused upgrades, or enhancements and much more.

Likewise, they can leverage Platform as a Service (PaaS) to build their digital capabilities on top of a resilient, scalable, and reliable core computational platform that acts as the foundation. Last but not least, they can utilize Software as a Service (SaaS) to achieve the desired digital capability instead of having to build it from scratch.

A cloud expert like Pratiti can be the partner who offers a consultative approach to build the right cloud ecosystem. Through consulting, cloud experts are able to unlock the much-needed flexibility for enterprises to mix and match the desired cloud offerings tailored to their business.

Enhance efficiency

With the assistance of cloud computing service providers, businesses can be assured of leveraging cloud technologies that have better efficiency. A partner like Pratiti can enable large application ecosystems to be seamlessly managed during any deployment, enhancement, or feature additions. From DevOps to containerization using Kubernetes, they will ensure that applications are stable, scalable on demand, and accommodative of changes in their lifecycle.

Techniques like containerization offer applications with improved resource utilization and not to mention portability across different cloud vendors. This will also help in managing costs and prevent IT budgets from creating challenges for core business priorities.

Building Cloud Native Applications

With the help of cloud experts, enterprises are facilitated with a one-stop resource pool to build a modern and scalable application that can serve different channels like web and mobile. They do not have to create separate applications, as a cloud-native web application can be used as a single point channel for multiple devices.

This provides enterprises with advantages like faster go-to-market, abundant version releases, easier management of development cycles, lower costs, easy adaptation of innovative approaches like containerization, and much more. All in all, enterprises can ensure they meet the important metrics of superior customer experiences while overcoming the hurdles of technical complexity.

The journey to cloud transformation is a continuous one. Fixing the architecture is just the first step. A cloud expert like Pratiti can help in ensuring continuous success by creating not just an architectural roadmap but also enabling quality assurance checks all through the journey. This ensures that organizations are not exposed to risks while scaling their technology and when newer and emerging technologies like AI are implemented at scale.

Embracing Architectural Flexibility

With cloud experts helping build digital assets, enterprises are treated to several options to pick for their development strategy. Partners like Pratiti are well endowed on approaches like microservices that are easy to implement, as the cloud allows a modular development approach. This way, they make it easier to automate services on the cloud as each service can be seamlessly containerized into its own virtual ecosystem capable of independent self-existence.

It is not just a simple automation that a cloud partner can realize within an enterprise, but a comprehensive end-to-end service that is enabled by innovative practices like DevOps. A cloud expert like Pratiti can help in identifying, prioritizing and enabling the right modular architecture best suited for the businesses’ growth potential.

In the AI and ML age, such architectural flexibility has become a critical component. It helps enable different facets of an application to be integrated with popular 3rd party libraries. Further, it helps AI-enabled services with easier feature realization and the desired level of isolation and tolerance against failures or security risks.

Emerging technologies like AI and machine learning require a significant amount of computing resources in addition to support from a data management perspective. Traditional enterprise technology stacks will not be sufficient to support the massive amount of computational modelling and analytical processing happening behind the scenes.

This is where an expert cloud computing service provider can become a great asset. They can define the best adoption path that enables optimal on-demand access to scalable computing resources and tools to manage high-velocity data streams. The computing power needed to process large amounts of structured and unstructured data streams can be easily provided by cloud vendors. A cloud expert can easily guide enterprise with the right choices, define a roadmap for implementing high-end computing cloud infrastructure and also support in moving data modelling workflows into the right cloud ecosystem.

Eliminating Cost as a Hindrance

It is worth mentioning that one of the most striking conversations around cloud computing in its early days was the cost advantage. The entire concept of balancing performance and cost was never possible in the pre-cloud era. Enterprises had to always invest in building the core infrastructure, services development, and much more.

The cost advantage is still an inherent trait that stands the test of time in today’s high-performance computing era. Subject to a major caveat though. Today, cloud usage can easily spiral out of control and drive-up cloud costs. Cloud adoption, thus, must be careful, considered, and controlled. Cloud vendors still offer a gamut of economical options for enterprises to build their digital ecosystem without worrying about huge bills. However, there needs to be a concrete strategy in place to prevent cloud costs from escalating.

This is where cloud experts come into the picture as saviors. With years of experience in enabling successful cloud migration across industries, a cloud technology partner like Pratiti can build your ideal cloud strategy. This helps in preventing challenges like overprovisioning and saves a significant amount of money.

Final Thoughts

In the past, building a new digital channel for customers was a herculean task. Enterprises had to engineer an application from scratch, build the deployment environment, arrange for a large workforce to manually maintain the deployed application, and disrupt business operations for upgrades or feature additions. The cloud changed all of this, but knowing how to innovate in the cloud is really one of the biggest challenges that enterprises face today.

A partner like Pratiti can help formulate the right cloud strategy and assist in enabling automated management of your cloud ecosystem. From selecting the right tools to prioritizing your cloud migration journey, the possibilities are endless.  Get in touch with us to know more.

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Introduction

Across the globe, utility companies are no longer simply providers of cheap energy to their consumers. As more economies switch to “smart” grids, the energy industry is gradually adopting digital technologies to improve the efficient use of energy and quality of service. For power generation companies, data analytics is a valuable tool to manage energy consumption at affordable costs.

According to Mordor Intelligence, the Big Data Analytics market is set to grow at a CAGR of 13.15% between 2023 and 2028. In addition to its role in the fossil fuel industry, data analytics is also a necessity in renewable solar plants.

As more electricity grids and solar panels get decentralized, data analytics enables utility companies to manage their infrastructure and predict any change in power demands. Further, big data enables the rapid development of new business models & services in the energy sector.

In this blog, we shall look at 5 top applications of data analytics in the energy industry.

5 applications of Data analytics in the Energy sector

Data analytics can tap into the increasing data volumes originating from “smarter” infrastructure devices. With data analytics, energy companies can extract strategic insights that can improve energy productivity. Matt Schnugg of GE Power Digital says, “Data is the linchpin of our collective energy future.”

Here are the top applications of data analytics in the energy industry:

1. Detecting and Predicting Power Outages

Regular breakdowns in energy equipment can lead to major power outages and frustrated consumers. Besides, energy companies spend a lot of money on restoring failed equipment or on new assets. Along with IoT-connected sensors, data analytics tools can proactively monitor energy systems for any potential issues.

Here are some of the capabilities of a “smart” energy system:

• Accurate prediction of weather conditions on the power equipment
• Possible detection of power outages in specified areas or events
• Identifying the probable cause of a power outage

By detecting any disruption in the early phase, data analytics tools can effectively prevent any major failure.

2. Determining Weather Patterns

In the renewable energy sector, weather patterns are an important factor in predicting energy supply. As we know, solar and wind energy are among the widely used forms of renewable energy. However, these energy sources are largely dependent on the ample supply of sunshine and wind flows.

By combining big data with predictive analytics, renewable energy companies can leverage real-time weather data to furnish accurate data patterns. Besides, weather forecasting models enable energy companies to accurately predict natural disasters like floods and heavy rains. For future studies on climate change, data models can collect valuable data points related to “average rainfall received in a particular region.”

3. Managing Dynamic Energy Requirements

Energy management systems are an innovative approach to managing energy loads dynamically. These systems comprise a network of “smart” end-user devices, distributed energy sources, and an integrated architecture for smooth communication.

This form of energy management addresses all concerns about growing energy demands and obtaining power from distributed fossil and renewable sources. Besides, it can also address energy-related challenges like managing cost efficiency and reduction in energy demands.

Using Big Data analytics, energy providers can empower dynamic energy systems and optimize the energy distribution to their consumers. By processing large volumes of data, data analytics tools can estimate performance levels and provide intelligent recommendations.

4. Maintaining Power Equipment

Energy companies invest thousands of dollars into maintaining their power grids and equipment. Despite all that, failures can still happen, leading to blackouts and losses.

Data-driven predictive maintenance is an accepted method to gauge the current health of critical power infrastructure. For instance, in connected solar panels and power grids, utility data (from multiple data points) can provide insights into which component requires urgent repair or replacement.

Moreover, energy providers can leverage predictive maintenance to determine the remaining life of the equipment or when the next failure is likely to occur.

5. Reducing the Cost of Energy Production

Over the years, renewable energy including solar power has received more support from the industry. This has significantly helped in reducing the cost of producing more solar power. Using the right data insights, renewable energy companies can optimize energy production and accurately predict energy supply and demand.

Additionally, the cost of installing and operating solar power plants continues to fall across the globe. The U.S. Department of Energy has announced its plan to reduce the cost of producing solar energy by 60% by the end of this decade. Other studies conclude that advanced data analytics can improve energy savings by 5-7.5%.

By leveraging big data analytics and predictive analytics, renewable energy producers can produce more energy without incurring any extra infrastructure costs.

Conclusion

Be it in the traditional or renewable energy domain, companies need to leverage big data to improve production efficiency, provide a better customer experience, and reduce costs. With the right data-driven insights, they can improve their decision-making process and transform business outcomes.

Pratiti Technologies offers a host of customized data analytics solutions to solar and renewable energy producers. With our analytics solutions, organizations can develop a sustainable business model in any area of business operations.

Looking for the right data analytics solutions in the energy industry? Let us help. Contact us today!

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Introduction

New products in the market are termed “successful” due to a host of aspects. From profitability to high quality and robust to reliable, “success” can mean different things to different industries.

But if there’s something that’s similar irrespective of the industry, it’s the definite set of ingredients that contributes to successful product development. This set emanates from a great idea and is brought into reality through highly skilled developers, testers, managers, and advanced tools that work in cohesion to achieve a single goal, i.e., delivering a great product while keeping the budget and quality on track.

As Robert Kiyosaki said – “Most businesses think that product is the most important thing, but without great leadership, mission and a team that delivers results at a high level, even the best product won’t make a company successful.”

Along those lines, this blog will explore the exact components needed to shape the product development success story.

5 Essential Ingredients for Successful Product Development

1.     A Team of Expert Technologists

Technologists work behind the scenes to ensure the product is up to the mark. They work to create a viable solution that fits right into the technology stack. Further, they remain aware of their exact responsibilities contributing to the finished product.

Since the product development framework includes multiple levels – idea generation, designing, development, testing, business analysis, and release to market – having specialists at each of these levels can ensure faster go-to-market and a great quality product!

2.     Focus on UI/UX

A superior UI/UX (User Interface/ User Experience) is a mandatory ingredient in developing exceptional software products. Consumers need a user-friendly, seamless experience while navigating through the product. When the consumers spend more time engaging or interacting with it (i.e., taking action), it’s a clear sign of successful delivery, efficiency, and product quality.

And what’s the consequence of having a weaker UI/UX? Poor user experience can plummet the revenue as consumers start to churn quickly. Therefore, to build a loyal customer base and stay ahead of the competition, the UI must be highly optimized for seamless use. This effectively translates to having a clear focus on the end-user experience.

3.     Use of Robust DevOps Practices

There’s no greater approach to making a product successful than to instill DevOps into your development strategy. What do we mean by DevOps practices? Let’s elaborate.

DevOps is an amalgamation of best operational practices, tools, and culture. Here are some of the outstanding DevOps practices that any software product development can benefit from:

• An integrated team of developers and operations working towards the same goal.
• Use of agile methodologies for better scalability and to meet changing market demands.
• Prioritizing automation in every area.
• Unified use of advanced DevOps tools, technologies, and CI/CD.
• Regular feedback for smoother deliveries.

Ultimately, such DevOps practices aim to drive greater customer value with your product.

4.     Employing Advanced Testing Methodologies

When developing a software product, frequent functionality changes and feature upgrades are inevitable. Considering that, continuous testing is key to avoiding future failures, or worse, hampering the quality of the finished product.

Testing methods include functional, performance, UI, security, configuration testing, and more. On that note, having a highly skilled QA team onboard is super important to perform extensive testing and employ the right testing techniques that promise the envisioned outcomes.

5.     A Product Mindset

Having the right tech stack and the best tools for development is pointless if your team is not a bunch of like-minded folks. And what can help with this? A product mindset. It is about embracing a product-centric philosophy into your business and every stage of development where the entire team works together as one.

Favorably, the most likely outcomes of this approach are faster product delivery, better team relationships, cost savings, a unified goal-oriented development approach, and more.

The Bottom Line

To conclude, product development success is not something that’s achieved overnight. It’s the result of a steady and consistent effort from a team that knows what the end goal is and what they need to do to achieve it.

As the product changes, so does the development process, and thus, a dedicated team is imperative to delivering a great product every single time.

It’s noteworthy that the recipe for successful product development revolves around incorporating the above-mentioned key ingredients. In the end, you need a high-quality, robust, and trustworthy product that your customers do not turn away from.

Team up with Pratiti to build products ready for the digitized world. Connect with our experts today!

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Introduction

As the pressure on reducing carbon emissions and crafting a greener future intensifies, companies in the energy and utility space are looking for ways to build smarter grids and multiply renewable energy production. They are also conscious of the need to engage a new generation of consumers used to more digital experiences and software-driven methods.

They recognize that to successfully do this, they need to drive processes efficiently and embrace digital technology innovations across the value chain. One technology that is really changing the game for them is IoT.

The potential for IoT in the energy and utility space is enormous

The energy and utility sector is increasingly experiencing disruptive changes. Expanded utilization of renewables, versatility issues, consumer focus, and sustainability concerns are some of the top concerns facing companies in this sector, and digital transformation is the single greatest empowering agent of that change. Not only has the digital age made the creation of smart grids possible, but it has also opened doors to unearthing real-time insights to improve operational performance and customer experiences.

Along with all the technologies that the energy and utility sector is embracing, IoT is transforming how grids are managed and monitored. Using sensors, IoT is allowing for remote and real-time monitoring of production; such monitoring is helping energy companies improve asset utilization, optimize energy generation, and also enhance risk management.

IoT, when combined with renewable energy software, is further paving the way for smart energy management, helping organizations revolutionize how energy is produced and consumed. That said, let’s look at the opportunities IoT presents to companies in the energy sector:

• IoT sets the scene for better process monitoring and thus better resource optimization. Using sensors, energy and utility companies can remotely monitor their grids and get detailed insight into plant performance – in real-time. This data, when presented via dynamic dashboards and reports, helps to quickly identify non-conformities within plants.
• Sensor-based monitoring via IoT also helps energy companies optimize asset utilization. Since data from assets can be collected and processed continuously, it helps decision-makers optimize energy generation and planning.
• IoT, when integrated with smart metering, allows the power sector to better forecast consumption patterns. This data can be used to strike the right balance between demand and supply – mitigating unnecessary energy consumption and reducing waste.
• The technology also allows companies to have greater control over power flow and optimize production processes. By matching energy load to real-time demand, it helps curb energy consumption in significant ways while allowing power companies to minimize environmental impact.
• IoT also facilitates energy companies to measure carbon consumption in real-time. By constantly gathering and processing production data, it enables them to take steps in the right direction. Through proper management of energy consumption patterns and resources, it promotes conservation practices for a greener and more sustainable future.

But implementation isn’t without challenges

Embracing the world of IoT might completely transform the energy sector. But building a connected web of intelligent sensors isn’t without challenges. Let’s look at the challenges that come in the way of successful IoT implementation:

• Executive (and employee) support: Successful IoT deployment in the energy sector demands equal support from leaders and front-line workers. Leaders need to be able to craft a strong IoT vision and workers need to be able to believe in that vision and work towards achieving it. The lack of support can lead to improper, inefficient, or costly implementation – which impacts the overall effectiveness of energy production and management.
• Cost constraints: IoT, no matter how beneficial for the sector, is also a costly technology. While a handful of sensors might seem easy to purchase and implement, when you have to implement hundreds across multiple, dispersed grids, the costs surge exponentially.
• Power consumption: Although IoT can help optimize production, the devices themselves are known to consume substantial power. Despite most devices running for months (or even years) on a single battery, companies are often hibernating devices or minimizing the use of high-power radio chips like Wi-Fi. But this impacts the ability of the devices to process critical data.
• Security concerns: Many IoT devices have unpatched vulnerabilities which put the entire energy ecosystem at risk. The reasons for this are many; patches are either not available or are difficult to access and install. Many companies also continue to use default passwords, giving cybercriminals an easy way to access and exploit critical energy data.
• Complex management: IoT devices are also difficult to manage and monitor. With skill shortage a constant given in the energy sector, setting up and activating devices is a growing challenge. So is managing device battery, updating firmware, and monitoring device health – which minimizes the effectiveness of the IoT ecosystem.

For the energy and utility sector, IoT represents a new reality, carved by real-time applications and state-of-the-art innovations. Using intelligent sensors and gateway connectivity, helps companies derive actionable insights and use them to power efficiency and productivity. It further improves real-time decision-making, streamlines complex operability, and allows for better energy management.

But IoT implementation also brings about some challenges that need to be addressed appropriately. Engaging with a qualified IoT implementation partner can help in overcoming these challenges and ensuring you get maximum results (and returns) from your IoT investment.

Learn how Pratiti’s domain leadership, innovations DNA, energy accelerators, and industry-leading execution framework can help your company build a compelling IoT ecosystem, so you can respond to shifting user preferences, comply with evolving regulations, and mitigate unforeseen risks today to stay relevant and sustainable tomorrow.

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Introduction

“It makes sense that the company that helps you implement and integrate a cloud system can also help run it and offer advice on the best way to maximize its use,” outlines Will Venters of the London School of Economics while stressing the importance of next-generation managed IT services for healthcare core industries.

In fact, research suggests that a successful partnership with a managed services partner can decrease IT expenses by 25-45% and improve operational effectiveness by 45-65%.

This blog showcases how the healthcare industry, in particular, can immensely benefit from partnering with managed service providers (MSPs) for their IT needs. Amid the industry’s digital shift to a patient-centric model and the transition to electronic records, healthcare institutions need a re-evaluation of traditional approaches to managing infrastructure and what it takes to keep them running optimally.

Favorably, MSPs can come with the expertise to help healthcare providers navigate this landscape and drive innovation.

Role of Managed IT Services for Healthcare in Transforming

Embracing managed IT services for healthcare allows providers to escape from having to negotiate the complex technology journey themselves. This helps them take a proactive and holistic approach to IT infrastructure and service provision. Provided by certified and experienced IT experts, this services-led approach ushers in a paradigm shift towards more active healthcare service delivery and improved cost efficiency.

Healthcare providers are under pressure to adopt a slew of new and established technologies to deliver great care outcomes, outstanding patient experiences, and excellent business results. But having to focus extensively on selecting, implementing, and managing technology can distract them from their main goals. This is where managed IT services providers are stepping in to help. From infrastructure monitoring to system upgrades and cybersecurity cloud cost management, MSPs can help healthcare organizations to:

• Effectively apply technology to real-world clinical needs
• Migrate legacy systems to cloud-based infrastructure
• Comply with requisite governmental regulations
• Maximize information governance and security
• Drive operational efficiencies across the patient care ecosystem

To scale and meet future needs, MSPs provide IT services that allow healthcare providers to foster interoperability, increase efficiencies, and reduce costs. By leveraging their knowledge and experience, healthcare organizations can focus on their core mission of delivering high-quality patient care while leaving the IT complexities to trusted experts.

However, this collaboration entails a strategic approach to technological implementation and integration, information governance, and patient-centric care delivery. How can this be accommodated? Well, MSPs offer the following managed IT services to enhance healthcare delivery:

Infrastructure Monitoring

Research outlines that operational inefficiencies could cost businesses up to 30% of their potential annual revenue. The majority of these inefficiencies are attributed to data silos, infrastructural failures, and irregular performance. However, MSPs can effectively avoid these inefficiencies by providing round-the-clock monitoring and proactive service management for the IT infrastructure. They can:

• Perform regular evaluations of medical applications and facilitate upgrades as necessary
• Ensure 24/7 uptime of critical medical systems
• Carry out user administration by keeping a close eye on patient portals, telehealth apps, etc.

System Upgrades

As IT systems become more complex, it becomes imperative that they be regularly upgraded to stay relevant and effective. MSPs can help healthcare providers enhance performance by providing timely system upgrades through a comprehensive planning and implementation process. Through viable upgrades, they can address the increasing complexity of IT systems and boost efficiency by extending the lifespan of existing systems and improving data security, privacy, and reliability.

Backup & Disaster Recovery

Healthcare institutions house critical and confidential patient data as well as a wealth of clinical and operational information that is essential for smooth operations. Medical institutions also need to ensure that their health information systems that are being leveraged for patient care are protected against any threats that might prove detrimental to care delivery or violate regulatory compliance.

MSPs can equip healthcare organizations with an effective disaster recovery solution that is tailored to their unique needs by:

• Laying out a business continuity and disaster recovery plan to protect data integrity
• Facilitating a 24/7 data backup and recovery option that wouldn’t slow down healthcare delivery
• Offering strict compliance with data retention policies and regulatory requirements

Cybersecurity

Data security and privacy are prioritized with managed IT services. Providers offer robust cybersecurity solutions like encryption, access controls, and threat detection.

Besides, medical clinics partnering with a managed service provider benefit from continuous monitoring, vulnerability assessments, and compliance with regulations such as HIPAA, which serve to safeguard patient data against cyber threats. Healthcare institutions also benefit from awareness of healthcare standards (e.g., ICD-10, XDS/XDS-I, HL7, etc.) and integrated, outcome-based, and patient-centric solutions.

Cloud Cost Management

Healthcare providers can leverage the cost predictability and flexibility of cloud services to adapt to their changing needs. However, a precise cloud cost management strategy is vital to ensure maximum utilization of cloud services while minimizing operational costs.

Cloud cost management can be achieved through better utilization, economies of scale, and optimized cloud implementation. MSPs can help realize this by:

• Developing a cost model to establish long-term utilization and pricing for the cloud infrastructure
• Monitoring utilization across cloud applications and reevaluating cloud costs
• Generating detailed cloud cost analysis reports for informed decision-making
• Facilitating cloud governance and security to ensure compliance and prevent costly violations and breaches

Application Support (L1, L2 and L3)

The expertise of healthcare IT experts can be a valuable asset for healthcare institutions looking to build or augment their IT infrastructure. They can bring in the requisite agility and innovation to test and support software across clinical settings.

From the most rudimentary to the most demanding clinical applications, MSPs can help healthcare providers bring out a robust digital foundation that is vital to patient care through rigorous application support across all three levels of IT support. This translates into offering the first line of assistance for basic product/service-related problems to bringing in technically proficient individuals to deal with sophisticated software issues.

How Can We Help?

Managed IT Services for healthcare have the potential to revolutionize the healthcare industry in 2024-25, and Pratiti Technologies is at the forefront of this transformation. With our expertise in managed IT services for healthcare, we can empower healthcare institutions to enhance patient care, streamline workflows, and drive positive outcomes.

We bring a proven execution framework to the mix to support next-gen digital solutions for healthcare organizations. Explore our healthcare-specific managed IT services here.

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Data Analytics Solutions | Healthcare Software Development | Cloud Computing Services Providers | Edge Computing Platform

Introduction

Recently, Taylor Swift’s fans were in for a huge disappointment when Ticketmaster’s website crashed. The website was probably not prepared for billions of system requests. The website crashed at least 5000 times. Many fans have sued the ticketing company.

The number of system requests may have been unprecedented, but this fiasco is a reminder to build scalable web applications. The main benefit of a web application is it should be operational 24/7/365. It should be able to handle website traffic at its peak. Every website crash could lead to hundreds and thousands of dollars in loss for the company.

That’s why website scalability is so vital. Scalability ensures that the application’s database and backend can handle the growth in customer base and system requests. Lack of scalability could lead to revenue loss and reputational damage. Scalability ensures that the website runs smoothly and creates a positive customer experience. It prevents customers from abandoning the website.

However, there are various challenges that companies could face while building scalable web applications. Web developers should keep an eye on them and find ways to resolve them.

Challenges And Solutions For Building Scalable Web Applications

1. Architecture is not scalable

 Challenge: Architecture is one of the leading reasons for an application’s poor scalability. Take monolithic architecture, for instance. It uses a single codebase for multiple functionalities. Hence, it works well for small applications. It starts posing challenges when developers add more features and functionalities to the application to meet customer demands. It can’t keep up with the load.

Solution: The application’s architecture must be scalable. It should aid web applications to adapt according to market demands and traffic spikes. Microservices architecture comprises a collection of small services with individual codebases. Each of them has its logic and database to perform specific functions. There’s no dependency on other modules. So, as the application grows more complex and adds additional functionalities, the application continues to work smoothly.

2. Lack of performance load testing

Challenge: Load testing is as crucial as other forms of testing as it assesses the performance of the application and systems under real-life load conditions. Developers simulate the environment, users, and data and place the application under maximum load to verify if it can manage real-life traffic spikes. Unfortunately, load testing is also one of the ignored forms of testing. Developers don’t often prioritize load testing as the product features are limited and traffic is small in number. Unless there’s no load testing, the developers cannot predict and fix the issues in the application.

Solution: Load testing can help developers predict the issues and take pre-emptive actions to ensure that the application functions smoothly. Developers must create real-world scenarios that an application will likely encounter, set benchmarks, and test the application with maximum load to find the root cause for the application’s poor performance. Continuous testing will help developers identify and fix the underlying problems at every stage and ensure that the application runs smoothly at all times despite traffic spikes.

3. Inability to distribute traffic

Challenge: Developers cannot rely on a single server to support the entire workload. An overworked server could slow down the work, drop requests, and lead to frequent crashes. The inability to distribute traffic could affect the application’s performance and customer experience.

Solution: Load balancing is vital for scaling applications.
Load balancers eliminate the over-reliance on a single server. It distributes the workload evenly across multiple servers. It is useful when a website attracts high traffic and attends to hundreds of user requests simultaneously. The load balancer will use multiple servers to balance these requests. In fact, large-scale applications use servers that are close to the customer’s geography to balance the load. However, use more than one load balancer to route traffic between the different servers efficiently. Over-reliance on a single load balancer could also hinder the application’s scalability.

4. Poor code quality

Challenge: Poor code quality can severely impact an application’s scalability. A good code is scalable. It does not require constant modifications to manage workloads or maintenance. The quality of a code suffers when developers don’t audit them regularly. It could also suffer when developers don’t update the libraries, language versions, third-party services, etc. while updating a system. A lack of code hygiene could increase technical debt and affect the application’s scalability and security.

Solution: Good code hygiene is crucial for an application’s scalability. Audit the codes regularly, review them, and update or rewrite the parts that hinder the application’s scalability. Remember to update the libraries, languages, and third-party integrations while updating the application to maintain consistency in code.

5. Poor database management

Challenge: Database management has to be good to improve the application’s scalability. The application should be able to perform any number of database queries and organize tasks efficiently. However, an over-complicated database schema, poor database engine, and poor indexing can affect database management and impact the application’s scalability.

Solution: Start by choosing the right database engine to scale the application. Next, select a database schema that can manage any number of transactions per second. Developers should also choose between relational and unstructured databases according to the application’s architecture and data type. The database should be able to work and integrate seamlessly with the application. Developers must also conduct regular database audits to ensure that the database can organize tasks and perform more queries efficiently.

Best Practices For Building Scalable Web Applications

Apart from addressing these challenges, here are a few best practices companies can implement to build scalable web applications.

1. Define the metrics

Metrics such as CPU usage, memory usage, latency, and network throughout help determine the application’s scalability. CPU usage, for instance, checks the balance between the workload and processing power. Define the metrics helpful to business and monitor them continuously to identify and fix issues and enhance customer experience.

2. Choose third-party integrations

Multiple third-party integrations can bloat the application and affect its scalability. They can also lead to operational failures. Choose only those integrations that are secure and integrate seamlessly with the application.

3. Choose suitable frameworks and tools

Some frameworks are not suitable for building scalable applications. Choose the ones that work well with the application’s programming language, infrastructure, and architecture. Similarly, use tools that can monitor the metrics, code quality, etc. to improve the application’s scalability.

4. Choose the right technology partner

Building a scalable application, monitoring it, and continuous improvement is a humongous task. It can’t be done alone by an in-house team. A technology partner can help with these activities. Choose the right technology partner who understands the company’s needs and goals and build scalable products.

At Pratiti, we provide end-to-end services such as product development, product support, and staff augmentation to enable non-tech founders to fulfill their vision.
To know more about our services, contact us.

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Data Analytics Solutions | Healthcare Software Development | Cloud Computing Services Providers | Edge Computing Platform

Introduction

As organizations move through their digital journeys, adopting the right cloud provider or selecting optimal cloud migration strategies help them to capitalize on new growth opportunities and manage the disruption of existing business practices. A recent report has indicated that the global cloud computing market is expected to be worth $1.5 trillion by 2030 while growing at a CAGR of 14.1%.

There’s no longer any question about the need to adopt the cloud to drive business performance. The question today is, “Which cloud to adopt?”

Today, a bunch of cloud providers like Google, AWS, and Azure are helping organizations drive a high level of process efficiency for ensuring smooth business operations. However, we believe that several aspects make Google Cloud Platform (GCP) stand apart.

Read on to learn why you should choose GCP for your current and evolving cloud needs.

The Google Cloud Platform Imperative

When it comes to selecting a cloud platform, organizations have several choices. But of all the solutions available in the market, Google Cloud Platform offers a new and innovative approach to cloud computing. Leveraging the capabilities of the GCP can help organizations accelerate their digital journey. Here’s why:

• Modern organizations are embracing a bunch of technology building blocks like Big Data, Artificial Intelligence, the Internet of Things, Machine Learning, Blockchain, and others to seek greater transformative benefits for their business. One of the reasons cloud providers like GCP have become key drivers for sustained business success is their ability to make these solutions more accessible.
• The Google Cloud Platform offers a diverse range of machine learning, computing, storage, analytics, networking, and development capabilities. Organizations can choose from over 150 cutting-edge productsto kickstart, run, and maintain their cloud workloads. An array of deeply utilitarian and comprehensive products available on GCP enables organizations to drive higher levels of process efficiency while also boosting productivity levels and addressing customer needs in time.
• GCP offers a range of robust cloud storage options, including standard, nearline, coldline, and archival storage. Organizations can also enjoy a range of storage features such as automatic storage class transitions, continental-scale SLA-based replication, and more.
• Google Cloud Platform takes a pioneering approach to enterprise security. With GCP, organizations can leverage an array of tools, insights, and partnerships to detect, investigate, resolve, and even prevent cybersecurity incidents – before they impact the business or customers.
• With the Google Cloud Platform, organizations can make the most of a comprehensive set of core integration tools. These tools can help them connect and manage a multitude of applications in a serverless and scalable manner. With simple point-and-click configurations, they can create, maintain, and manage their integrations across their Google cloud infrastructure.

With solutions for every sector, the Google Cloud Platform allows different businesses to address challenges unique to their industry. From retail product discovery to detecting bank fraud, accelerating the discovery of new medicines to enabling better quality control – you can do it all with GCP.

GCP offers great options for more specialized user scenarios too.

• For startups, the Google Cloud Platform offers credits that aid in building and scaling the business and helping them grow. These newbies can get access to startup experts, technical training, business support, and more and achieve their business goals faster.
• Developers can also benefit greatly by embracing the Google Cloud Platform. Easy-to-use tools and an array of new-age APIs enable developers to quickly get started on their development journey, build and fine-tune their apps, and respond to new growth opportunities with agility. Because they can pivot quickly, they can align the business with evolving trends and enjoy a competitive edge in the market.

What Makes Google Cloud Platform Stand Apart?

The Google Cloud Platform offers several new ways to drive innovation in an increasingly tech-savvy world. From better data security to modern infrastructure, innovative workflows to better resilience, here are five reasons why organizations must embrace the Google Cloud Platform:

Build Apps Faster

Leveraging Kubernetes and microservices, organizations can build apps faster and cater to the evolving needs of the business and customers. They can create and run customizable virtual machines, deploy and scale them, and modernize legacy apps for better efficiency – without writing a single line of code. What’s more, the wide range of APIs makes it easy for businesses to extend and expand application capabilities quickly and seamlessly.

Enjoy High Uptime

Google Cloud Platform is built on an infrastructure designed for maximum reliability and uptime. Since business workloads are securely distributed across multiple regions, availability zones, and points of presence, they deliver robust built-in redundancy and application availability – ensuring the business is running 24/7 – without interruption.

Exploit AI capabilities

With Google’s newly introduced AI capabilities, organizations can build a variety of generative AI apps – quickly and responsibly. They can boost customer service with AI-based virtual agents and conversational AI products and build new-age models using a unified machine-learning platform. Organizations can also get AI-powered recommendations and suggestions and improve how they do business.

Run Advanced Analytics

As data volumes surge, the Google Cloud Platform acts as the cornerstone of an organization’s data analytics strategy, allowing them to make real-time sense of critical data. They can run advanced analytics at scale and analyze data streams at a much lower TCO. Businesses can also bring clarity to every problem and reveal the true power of their data across diverse use cases.

Scale the Business

With Google Cloud Platform, organizations can quickly and seamlessly scale their business – without hiccups. Google’s highly scalable infrastructure delivers an enhanced performance level and availability in a secure, sustainable way. The platform’s global presence means organizations can efficiently run their data centers in the most secure and energy-efficient way and deliver unmatched services to an expanding customer base – regardless of where they are located.

Maximize Google Cloud ROI with Pratiti

There is extensive discussion about the cloud and its impact on the business and for the right reasons. From higher uptime and availability to improved scalability, analytics, and time-to-market – the cloud delivers several compelling benefits. But when it comes to the cloud, there are ample concerns about the proper implementation of the technology in the enterprise.

As a Google Cloud Partner, Pratiti Tech can ensure you take the right step forward. Our massive cloud practice, combined with our comprehensive portfolio of offerings, can help your enterprise realize strategic business outcomes from your digital transformation initiatives.

Contact us today and explore our range of innovation consulting services to define new business models, create a smarter enterprise, and uncover the best ways to engage customers.

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Data Analytics Solutions | Healthcare Software Development | Cloud Computing Services Providers | Edge Computing Platform

Introduction

Market success was once defined by centuries of traditional product development business concepts. However, the need of the times today is to achieve speed, agility, and responsiveness.

In many cases, the secret to success lies in how enterprises are effectively able to leverage the most appropriate technology to “productize” their offerings to best meet the needs of their demanding customers.

With a productized approach, enterprises can streamline their market responses and align their operations faster. This trend has ensured that most enterprises have come to be governed by the same conditions that product development companies have confronted for years. And that’s what this blog is about.

Read on to know how enterprises can convert their ideas into successful products, what challenges they are likely to encounter along the way, and how a powerful partnership with a product development services company can help drive progress.

The Journey Is Not Easy

Clearly, the journey of transforming existing business services or concepts into a fully-fledged product is not an easy task. In fact, studies have found that over 50% of all product launches fail to achieve their business targets. Failures for tech products can be attributed to several reasons, but in these digital times, the culprits are either one or different combinations of the following three elements:

• Product definition
• Technology architecture
• Poor support

Speaking from Experience

To ensure that the journey from concept to success is realized for every product, enterprises need a reliable product development service partner to guide them on the right path. Over the years, Pratiti has taken the role of just such a partner for some of the most successful product companies in different domains. In our experience, our customers were able to rapidly realize ROI from their products thanks to our involvement in strengthening the three core elements.

That said, let us explore how product development can be set in the right course of action by a partner like Pratiti:

Create the Right Product Definition

Before even thinking about the technology stack, it is critical for businesses to be 100% sure that they are pursuing the right product idea. A product development service partner can work closely with your business’s key decision-makers and evaluate the potential of an idea.

Through consultative engagement, the main product objectives can be prioritized, designs and roadmaps can be created, and performance metrics can be defined. Identifying the user journey in the product and building a user experience tailored for easy use is a key part of the product definition.

An excellent product development services partner will have cross-functional expertise across consulting, design prototyping, data management, and engineering approaches. This will ensure that the business stakeholders can be provided with a viable POC or MVP that helps with their goals of fundraising as well as decision-making.

Leverage the Best Technology Stack

Creating a balance between functional innovation and stable operations is often directly dependent on how well the product’s technology architecture is engineered. Product development partners have the know-how on how to create the most sustainable and future-proof technology architecture. They have the expertise to select the right technology stack for major components or functional modules of the project.

Rather than choosing a single technology framework, a dedicated partner can help in creating enterprise-grade products that run on modern architecture principles like Microservices. This allows the business to deploy different product modules in the most suitable technology environment tailored for them.

Seek Assured Continuous Support

Having a dedicated product development service partner entitles your business to enjoy the benefit of being guided and supported not just in the development stage but also throughout the product’s lifecycle. That continues even post-launch and well into following versions and iterations.

A product-led business is never a one-time venture that magically lives on itself after market launch. Your product needs constant changes that are driven by market innovations. Obviously, you cannot blindly implement any innovation before evaluating its fit for your business, existing technology, and much more. Then, even as new releases pile up, users on the older versions need to be supported with product updates and enhancements.

This is where a dedicated product development partner like Pratiti can don multiple hats including those of product sustenance and support partner. A dedicated partner can assure you of continuous support to grow your products in ways the market loves.

By forming strategic partnerships and alliances with the world’s best technology vendors, partners like Pratiti can truly elevate your business. Such partnerships assure your business of availing the most tailored choices from evolving technology innovations without risks.

Making the Right Choice

We have seen how a dedicated product development service partner provides a formidable advantage for businesses making their foray into products. What’s left for leaders to finalize is evaluating the metrics needed for picking the right partner. Some of the best credentials to check in this regard include:

• Past expertise in your domain
• Capabilities with end-to-end MVP delivery
• Exposure to standard product development processes
• Staff scalingabilities
• Business knowledge

At Pratiti, we tick all these boxes and have demonstrated success in helping launch several large enterprise-grade products for businesses in multiple sectors. Get in touch with us to know how we can help build the most successful growth map for your product initiatives.

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Data Analytics Solutions | Healthcare Software Development | Cloud Computing Services Providers | Edge Computing Platform

Introduction

The talent shortage has now become a major concern for enterprises worldwide. A 2023 McKinsey analysis outlines that employers struggle to fill their pipeline of skilled resources, especially as workers continue to churn. According to Statista, in 2022, approximately 70% of organizations across the globe faced a talent or skill shortage, especially in tech.

To add to that, the looming economic uncertainty has impacted the hiring plans of organizations. New hiring freezes and even mass layoffs are being projected. Bringing in contract workers from a reliable vendor to close the talent gap and let software development and technology operations move with less risk and cost seems most practical in such a situation.

This is where staff augmentation comes to the fore. It refers to the practice of bringing in temporary workers on a project-by-project basis as the need arises. This helps a company acquire competent talent without committing to providing permanent employment. In many cases, this is also faster than running through the process of finding and hiring full-time employees.

In an environment where boards and investors are asking CxOs to cut costs, working with contract employees is also more practical. It’s a truism of the corporate world that closing contracts is far easier, cheaper, and less painful than letting go of full-time employees. It also does less to hurt corporate brand value – no need for blaring headlines like, “Corporation X lays off staff.” It’s true that no CxO staffs projects with the intention of firing people but tougher times demand an acknowledgement of such exigencies.

No wonder reports suggest the staff augmentation industry will see incremental spending of approximately $81 billion and will grow at a CAGR of 3.53% by 2025. These numbers demonstrate how well staff augmentation works as a strategy for closing the talent acquisition gap.

But is it truly beneficial to your company’s growth?

How Does Staff Augmentation Help Drive Businesses?

The entire corporate world has recently witnessed a multitude of layoffs, with the largest and most reputable organizations letting go of their talented employees. Companies are looking to cut costs to optimise operations during the economic downturn.

But can fewer employees be the future? Perhaps yes! And not just for cost reasons.

Reinforcing the In-House Team with a Specialist-First Mindset

The business model is shifting to a specialist-first mindset, where companies hire expert contractors to answer complex questions and accommodate spontaneous business needs.

Following the same logic, many industries focus on periodic work requirements. So, if a manufacturing firm needs to close a mobile application development project within nine months but lacks the skills or the ability to create a roadmap, it can hire a skilled IT strategist to help a core internal team smoothly contemplate the tasks. They can work with a staff augmentation partner to add resources to their team and achieve the desired results on time. All these staff augmentation-related engagements can either be short-term or long-term, depending on the scope of work.

Likewise, when it comes to software development, QA, testing automation, DevOps, etc., startups, mid-sized organizations, or any business at any stage of their maturity can add muscle by contracting experts for the execution and completion of development projects without necessarily onboarding them permanently. These contractors can work as a part of the internal team, support business growth, and even train internal resources as projects progress.

Growing Quickly While Bridging Skill Gaps

The world is becoming a tech-first space, and companies looking to leverage cutting-edge technologies like AR/VR, IoT, AI, data analytics, etc., have to set up innovation-driven workflows to bring unique products to the market faster and acquire domain leadership.

However, again, market challenges can be detrimental to enterprises realizing the successful completion of their development projects. In fact, research outlines that with 40% of workers planning to leave the workforce, organizations are finding it harder than ever to retain skilled resources. There’s also the problem of finding, hiring, engaging, and retaining specialist resources in areas that are not core to the enterprise. For instance, it will not be easy for a solar energy company to hire a small team of application development experts. That doesn’t mean the internal application development project isn’t key though. That’s where staff augmentation can help.

Besides, when you look more closely, the expertise in the IT sector, for example, varies so greatly that it is challenging to acquire one-site-fits-all resources. This resource and skills-first requirement makes staff augmentation an excellent way to gain access to the best talent and enables businesses to complete projects faster without sacrificing quality.

How Should Businesses Pursue Staff Augmentation?

In essence, staff augmentation can be a powerful tool for businesses looking to scale up quickly and efficiently. Here are some steps to go about it:

Define the Needs

Businesses must be very clear and precise in terms of what they require. A fintech brand, for example, needs to create a mobile application that will give customers access to their products and services. The company must develop it in a way that fits its current product portfolio and operational needs in terms of security, scalability, performance, etc. The process should begin with defining the goals and requirements, the timeline, as well as the number of people required to achieve the desired output.

Identify the Right Service Provider

Once businesses have defined their needs, their next task is to identify the right service provider who can help achieve results as per expectations. This comprises a number of parameters, including the cost, experience, available resources, industry knowledge, required quality level, etc. The idea should be to granularly judge the service provider based on their skills and experience in a particular area and what kind of engagement model will yield the optimal results.

Evaluate the Process & Quality

Once the contractors have been hired, it’s time to evaluate the process and track the quality of work being done. This will help businesses build a stronger case for engaging service providers in the future.

At the end of the day, the requirements for project delivery must be clearly stated, whether they are soft skills or technical skills. Businesses must conduct extensive assessment drills based on the pre-defined fit check for desired output and further understanding of scaling and re-using the staff augmentation model for development.

Navigating the Waves with Staff Augmentation

Staff augmentation can alleviate the risk of getting saddled with substandard employees.

Often, there’s an immediate need for talent. However, in many cases, rushing to find the best talent results in a loss of money and time. A report highlights how it takes over 3-8 months for any employee to be productive and contribute at work. Many times, companies cannot afford this buffer time for driving and scaling operations.

Staff augmentation is an excellent way to supplement the in-house team with domain experts on an as-needed basis. This enables organizations to prioritize both value and efficiency. This further eliminates the risk of hiring people only to fire them later due to financial uncertainty.

At Pratiti, we specialize in providing staff augmentation services that not only usher in technical competence but also provide unending support to management and internal teams. Our craftsmanship model enables us to be innovative while also delivering the required output. Get in touch with our team to learn about our flexible engagement models to power up your business needs.

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Introduction

Tomorrow’s manufacturing plants will not just be managed with technology but powered by it. Sample these stats:

• A recent McKinsey studyoutlined how Industry 4.0 can help manufacturers reduce machine downtime by 30-50%.
• The 2023 Deloitte’s Manufacturing Outlook surveyreveals that 62% of the manufacturers are already focusing on robotics and automation, 39% on IoT, 32% on cloud computing, 16% on digital twins, and more.

Most visionary manufacturers already believe that such investments in transformative technologies will yield a solid return on investment (ROI). The age of digital transformation truly awaits the manufacturing world.

But as digital transformation becomes a key enabler for growth in the manufacturing sector, it becomes imperative that manufacturers assess their digital maturity, realize the benefits of digitalization, and partner with a technology expert who can help them cohesively harness the power of technology.

The Business Case – Why Digital Transformation in Manufacturing?

Manufacturing companies are competing in a dramatically changed environment where customers expect more than just high-quality or cost-optimised products. They demand lasting experiences and personalization elements across the entire engagement. The market has become more dynamic than ever with changing customer expectations and surging competition.

To ensure success with customer-centric operations, digital transformation is a great approach for the manufacturing sector. The approach helps embed greater efficiencies into ongoing operations and also opens up new avenues and opportunities.

But what potential does it exactly hold for your manufacturing business? Let’s discuss.

Driving Quality Improvement

Manufacturers require to meet and exceed quality benchmarks in their processes as well as products to differentiate themselves in the market effectively. With growing digital maturity, they can improve the quality of their products, increase productivity, and optimize their operations — all by relying on data to empower digital processes.

For example, modern Quality Management System (QMS) software can be implemented by manufacturers in the quest to improve their quality standards and hooked into all the important production management processes. These solutions simplify the documentation, auditing, and compliance requirements processes, as well as quality control procedures. In essence, they make it simple to monitor, evaluate, and report on quality measures over time.

But for such solutions to be at their best, digital transformation must be pervasive across the department, plant, as well extended enterprise level.

Facilitating Cost Reduction

From spotting the inefficiencies early across the production and supply chain to eliminating redundant jobs, and producing with minimal errors, digital transformation helps reduce operational costs for manufacturing businesses.

With such data-driven operations, manufacturers can lower the cost of retaining inventory, speed up production cycles, cut lead times, and lower transportation costs. In fact, McKinsey quantifies the impact of the inclusion of technologies on cost reduction. The consulting giant reveals that manufacturers can enjoy a 15-20% decrease in inventory holding costs and realize a 10-20% cost-of-quality improvement.

Ensuring Operational Resiliency

Digital transformation can enhance a manufacturer’s ability to respond to disruptions, manage risks, and ensure business continuity. On the strength of a digital ecosystem, organizations can create an agile and resilient foundation to successfully leapfrog problems.

For example, shop floor operators and material handlers could not “work from home” as the COVID-19 pandemic persisted. Manufacturers had to choose the right combination of personnel resources while ensuring the new health and safety regulations. In such scenarios, an adaptable digital ERP with all the real-time data at its disposal helped them:

• Facilitate quality prediction and control
• Drive performance intelligence and improvement
• Ensure better production planning & scheduling
• Support predictive maintenance

In the digitally transformed manufacturing business, these (and other) applications converge to make the work easier for the human personnel involved.

Real-time data gathering and analysis made possible by digital transformation gives manufacturers crucial knowledge about their supply chain, production methods, and market demands. They are better able to predict future interruptions and spot system weaknesses.

Driving Competitive Differentiation

The growth in connectivity, industry 4.0 innovation, the growth of IoT and edge computing, and enhanced analytics capabilities mean firms no longer have any excuse to be left behind. A differentiation opportunity can be readily realized as manufacturing businesses can now better understand their clients, faster predict their needs, and offer customized solutions in a snap.

They can transition into and adopt unique business models that upend established markets, develop new offers that cater to changing consumer wants, and make smart, connected products. In effect, adopting digital technologies creates opportunities for new product and service development.

Furthermore, operational efficiency is increased by automated and streamlined operations brought about by digital transformation. Companies can gain a competitive edge over rivals who continue to use conventional methods by cutting expenses, improving resource utilization, and boosting production.

Enabling Eco-Efficient Operations 

“Integrating digital technology allows organizations to collect and analyze data to support sustainability in areas that were once a black box,” reads Schneider Electric’s opinion on Harvard Business Review.

This bodes well when we consider that digital transformation can allow manufacturing firms to:

• Look forward to smart energy management
• Spot energy-guzzling machinery and processes
• Identify optimized logistics and transportation routes for reduced emissions
• Embed eco-labelling and sustainability certifications into product information
• Exercise better stakeholder management around sustainability concerns

How Can an IT Services Expert Help Manufacturers in Digital Transformation?

Coming back to the Deloitte report, around 60% of the manufacturing executives surveyed are partnering with specialized technology firms that can help establish a digital ecosystem for driving future competitiveness. The key reason is the availability of specialty talent with the necessary experience to drive digital transformation success. Here’s how an IT services expert like Pratiti helps manufacturers navigate the complexity of digital transformation and drives them towards better quality management, cost reduction, and resiliency.

Technology Innovation & Solution Delivery

For manufacturers, technological innovation across every nook and corner of their operation is critical to driving data-driven decision-making and bridging the divide between information and operational technology systems.

Innovation consulting services are targeted at bringing this innovation to the table to help manufacturers embark on their digital transformation journeys, be resilient in the face of social and economic disruptions, and ensure a competitive advantage throughout.

For example, as a part of our innovation services suite, we help manufacturing businesses:

• Implement the most pertinent technological solutions to drive innovation through the product ideation up until the solution delivery stage.
• Convert and scale the successful ideas and Proof of Concepts (POCs) into living, breathing solutions that can usher in operational efficiency and ensure better overall user experiences.
• Drive IT solution delivery for better plant benchmarking, real-time operational visibility, reduced equipment downtime, and increased workforce productivity.

IT Support

Regardless of how niche and pertinent the technological innovation is, it won’t yield the desired outcomes if proper support and maintenance services are not leveraged. The solution delivery is incomplete without ensuring that the implemented technology can deliver sustained results.

At Pratiti, we take notice of the same and help manufacturing companies with the consistent functioning of their IT infrastructure amid an environment that’s otherwise utterly dynamic. For instance, we aim at empowering manufacturers with:

• Continuous testing and maintenance of their IT solutions. This involves running test automation and ensuring end-to-end quality assurance.
• Asset monitoring that can help unearth asset performance metrics and contribute towards energy optimization.

All these capabilities help in thoroughly evaluating the current IT infrastructure, spotting any weaknesses, and creating a master plan for integrating technology across the different enterprise levels to elevate the entire digital ecosystem.

Staff Augmentation

The success or failure of a manufacturing operation is dependent on the competence of the people facilitating it. Without a team that’s skilled and cohesive, manufacturing firms cannot realize success even with the most advanced IT solutions at disposal.

It’s people that help manufacturers digitally transform the entire value chain, from product development and production to distribution and customer support. They look and contribute to the present state of each value chain component, suggest enhancements, and build a digital strategy for implementing those changes.

An IT services expert like Pratiti brings such competent resources closer to the manufacturers’ needs. For example, at Pratiti we offer manufacturing firms with quality resources adept at software development, cloud computing, IoT implementation, quality assurance, and IT support and maintenance.

This not only serves to transform the operations from the department level to the enterprise level but also increases the visibility, efficiency, and effectiveness of processes and workflows across the manufacturing establishment.

Wrapping Up

Be it demand forecasting, supply chain management, preventive maintenance, cost reduction, performance improvement, or sustainability and environmental innovations — digital transformation can improve the capacity of manufacturing organizations to effectively compete in a rapidly changing global economy.

However, it’s noteworthy that digital transformation is not just about technology. It is about people, production processes, and culture. Failing to quickly adapt to digital disruption will cause your business to run on a treadmill that doesn’t go anywhere.

To get a head start in digital transformation, manufacturers should partner with an IT expert that can lay out the enterprise-level innovation strategy and help realize end-to-end digital transformation.

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Data Analytics Solutions | Healthcare Software Development | Cloud Computing Services Providers | Edge Computing Platform

Introduction

Flexera’s 2023 State of the Cloud Report reveals that 45% of organizations are spending more on the cloud amid economic uncertainty. This bodes well when we consider the numerous advantages that enterprises can enjoy with cloud usage, including cost optimization, better reporting, enhanced scalability and flexibility, automated policy governance, etc.

Such advantages pave the way for moving substantial workloads to the cloud, including the data analytics function. Here we explain how the cloud can become the cornerstone of your data analytics strategy, along with the challenges it resolves.

Challenges or Obstacles to Scaling Data Analytics

Organizing the Big Data

IT managers and other business users are frequently overwhelmed by the volume of data generated in today’s data-driven organizations. Every interaction across every touchpoint is worth considering; however, managing all this data leaves analysts with numerous interlocking data sets, which can be tough to navigate.

Planning the Budget

Data analytics involves increased efforts in budget planning as enterprises have to address the large volumes of data and their storage, processing, and analysis. Along with this, costs are incurred while refining the data quality as well as integrating it.

Infrastructure Issues

Organizations must guarantee that their infrastructure can meet the increasing needs of data storage, processing, and analysis. To accommodate larger datasets and sustain efficient data analytics operations, infrastructure scaling entails increasing storage capacity, increasing computational power, and optimizing data processing pipelines. The deployment of large-scale data analytics functions can lead to high IT resource consumption.

Moving Data Analytics to the Cloud

Easy Tracking of Products & Preferences

Organizations may learn more about user preferences across many platforms by consolidating client data in the cloud. They can integrate data from several channels and data centers.

In reality, cloud technology makes it possible to divide up user data into many categories depending on facets like behavior, preferences, and interests. This aids in effectively tracking customer preferences. Enterprises can then easily perform more advanced functions, such as identifying the sentiment (positive, negative, or neutral) expressed by users towards particular goods, services, or brands, giving us important information about their preferences and levels of satisfaction.

Much broader functions can also be seamlessly accommodated. For example, businesses can detect high-impact material, current topics, or developing concerns that demand rapid action or response by evaluating social media activity across numerous channels.

Smooth Recording and Processing of Data 

Cloud analytics enables the simultaneous recording and processing of data despite the location factor of local servers. The concurrent processing of data across several nodes is made possible by distributed computing frameworks like Apache Hadoop and Apache Spark, which are supported by cloud platforms. By distributing the task over a cluster of workstations, organizations are able to analyze enormous data sets more quickly and effectively.

As such, companies can track an item’s sales across all of their locations or franchisees in any country and change production and shipments as needed. This way, businesses have a simple means of adjusting their inventory and adjusting their production and shipping procedures. Moreover, they can create a clear view of operational and financial data, which can be regularly analyzed to gauge if the business is performing as it should.

Optimizing Costs & Enhancing Scalability with the Pay-As-You-Go Models

The pay-as-you-go cloud model means you only pay for the services you utilize. This can help organizations avoid over-purchasing of assets and services they do not need, something that plagues operations when analytics is handled on-premise. That’s because on-premises infrastructure entails significant upfront investments in hardware, software, and the requisite maintenance, regardless of whether the actual consumption would

Businesses can scale the usage and provisioning of resources during times of high demand. Likewise, they can minimize the same during off-peak periods, guaranteeing they only pay for what they need. Then there’s the advantage of money being saved from the elimination of infrastructure upkeep and management. After all, cloud service providers manage infrastructure updates, privacy, and maintenance activities. Enterprises don’t have to fret about that.

Implementing Cloud-based Data Lakes and Data Warehouses

How Do Data Warehouses Help?

Choosing between a data warehouse and a data lake, or zeroing in on the requirement for intricate connections between the two, becomes less important when organizations migrate their data architecture to the cloud. Organizations increasingly have both and utilize flexible data movement from lakes to warehouses to support business analysis.

A solution like Snowflake is a great example to address the growing needs of organizations, with its excellent efficiency, high concurrency, ease of use, and cost-effectiveness. For instance, Snowflake:

• Keeps the data well-governed and queryable
• Provides unlimited storage at a reasonable cost
• Provides the functions of business intelligence and advanced analytics. It features a profound partner ecosystem by allowing integration with tools like Tableau, Looker, Sigma, Talend, Alteryx, etc.
• Has a tight architecture for data integration
• Eliminates administration hassles and offers high scalability

How Does a Data Lakehouse Help?

The data lakehouse method is a modern data architecture that brings together the concepts of the data lake, data warehouse, and any other purpose-built services into a seamless whole. With the use of data lakehouses, unstructured data of the kind that is generally kept in a data lake can be given a structure and schema similar to those used in a data warehouse.

Databricks Lakehouse Platform is an excellent example in this regard, as it serves to combine the ACID (Atomicity, Consistency, Isolation, and Durability) transactions and data governance of enterprise data warehouses with the adaptability and cost-effectiveness of data Lakes. Its benefits to the organization are as follows:

• It’s an excellent amalgamation of a data warehouse and data lake, providing combined features.
• It also can process the data with Spark, adding to its utility.
• It covers a broad range of events like reporting and streaming.
• It is even effective in cases of downtime with excellent stability.
• On top of everything, it provides excellent and prompt customer service.
• It’s priced reasonably and is an all-in-one solution.

How Can an Expert Technology Partner Like Pratiti Tech Help

The cloud offers clear advantages over on-premises data analytics, and its adoption is growing exponentially. But, as with all technologies, it’s vital for businesses to explore what it can do for them, what it can’t, and how to get the most out of it.

At Pratiti Tech, we have an expert team with decades of experience in building scalable and efficient cloud-based solutions. We help businesses:

• Seamlessly migrate data workloads to the cloud without data duplication
• Centralize and streamline the cloud data analytics and reporting efforts
• Reduce the TCO by fine-tuning data analytics workloads
• Democratize access to insights for empowering business users to contribute to important decisions
• Measure and evaluate the performance of the data analytics function. After all, you can’t manage what you can’t measure.

Ready to set up a cloud-based data analysis solution? Get in touch with us today!

Our Services

Data Analytics Solutions | Healthcare Software Development | Cloud Computing Services Providers | Edge Computing Platform