Pratiti Technologies

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  • A Practical look into Remote Monitoring using IoT!

    A Practical look into Remote Monitoring using IoT!

    When it comes to maintenance, it offers the ability to create a clear and concise program for organizing equipment maintenance data and using remote IoT to make informed decisions that can pay immediate and long-term dividends.

    Automation

    Automation can streamline maintenance and record keeping activities, aiding information gathering and thus making decision-making easier and faster. Automation tools can be used to schedule maintenance alerts, which significantly reduces the effort and time involved in a traditional data collection process and associated cumbersome paperwork that is used to trigger preventive or corrective maintenance.

    Business owners and fleet managers no longer need to make job site visits and phone calls to obtain basic data such as engine hours, fluid levels or operating temperatures. In addition, the information gathered is more accurate based on a steady flow of real-time data and the elimination of handwritten notes and associated paperwork.

    Remote monitoring gives ability to track the health of the equipment and detect problems associated with temperatures, pressures, Vibration before they blossom into unnecessary expenditures and downtime.

    As an example, data could reveal that a machine needs an oil change sooner than recommended by the manufacturer based on the type of work the machine is involved in. Conversely, a machine might not need to be serviced as frequently as another machine based on the work it does.
    Further, automated alerts can reduce the reliance on equipment operators to intervene and alert the maintenance team about items that need attention.

    For instance, the owner of a machine on a demanding project in a hot climate might set up the program to keep tabs on the machine’s operating temperatures. If the temperatures climb outside acceptable limits, the program can alert the maintenance team, or the dealer who services the equipment.

    Connecting device gives IOT ability to mine a rich history of information to improve maintenance practices. Some systems can gather information from as far back as 18 months, or even longer if it’s regularly downloaded and stored. With historical data, users can spot trends that point to potential problems.

    Fuel usage Monitoring is a good example, if the data reveals a spike in fuel consumption for a given machine it could be symptomatic of an issue that demands further investigation.

    Investing in the business

    Having a keen understanding of operation characteristics of machines and operators over time allows users to flag issues that appear out of the ordinary, and in the process, minimize potential maintenance headaches before they strike.
    The ability of IoT to deliver tangible efficiencies and costs savings when deployed for Remote monitoring is well proven and provides an excellent return on investment. But like any investment, the decision whether to adopt Remote Monitoring using IOT demands a hard look at the technology from every angle to ensure it benefits the business.

    Nitin

    Nitin Tappe

    After successful stint in a corporate role, Nitin is back to what he enjoys most – conceptualizing new software solutions to solve business problems. Nitin is a postgraduate from IIT, Mumbai, India and in his 24 years of career, has played key roles in building a desktop as well as enterprise solutions right from idealization to launch which are adopted by many Fortune 500 companies. As a Founder member of Pratiti Technologies, he is committed to applying his management learning as well as the passion for building new solutions to realize your innovation with certainty.

  • How Is Your Enterprise Leveraging Data Generated From IoT Devices?

    How Is Your Enterprise Leveraging Data Generated From IoT Devices?

    The use of IoT powered devices is growing rampantly across industries, and so is the quantum of data that is generated from these devices. The important question to address though is – How is your enterprise getting ready to leverage this enormous amount of data that is being generated on a daily basis.

    All of us accept that the Internet of Things (IoT), and the amount of data from connected devices is in the early stages of tremendous growth over the next few years. A recent report from a leading analyst firm estimates its potential economic impact could be up to $11.1 trillion by 2025. The impact of this projected growth is already making its way into the operations of many enterprises. While this number is staggering in its implications, enterprises have a lot of work ahead to create real value from the IoT systems/devices and the resulting wave of IoT system data.

    How many different connected devices or IoT systems are you using in your production facilities right now? It is quite likely that data that is being generated from these devices would be close to several gigabytes. But the important question to ask is, how much of this data is really being used to speed and improve business decisions. It is common to see across several organizations, that over 95 percent of connected device data is not currently being used or used sub-optimally.

    It is necessary to have a clear strategy and framework for the usage of this data in business decision making. The right analytic tools in combination with solutions in big data aggregation and an overall enterprise application integration strategy is critical.

    It’s fairly straightforward to connect device data from one IoT system to one data service provider for analysis and reporting. The challenge comes in aggregating data from multiple IoT systems to be processed by multiple best-in-class data service providers to get the most out of your data. This is where the need for interoperability becomes very important. It’s difficult to scale your solution to its maximum potential when limited by closed systems or locked data.

    There is a technical prowess required to make IoT solutions work together, enterprises that once tried to consolidate their systems with one all-encompassing vendor are now embracing the interoperability of many specialty vendors to provide the best operational efficiency and accelerated deliverables. Before IoT Systems integration requirements, many successful enterprises were already utilizing a mix of on-premises EAI platforms and cloud-based solutions for Enterprise System integration.

    If your enterprise wants to become a part of the IoT landscape, you need to have good answers to how you’re going to integrate multiple IoT platforms and create actionable results from IoT data. The power, in the true sense, is in the information & decisions that you can derive from the data and not in the data itself.

    At Pratiti, we have been involved in several projects, where we have been driving the IoT strategy as well as execution for our clients and helping them realize true business value. We would be happy to engage in discussions with you, as well, to help you achieve your objectives, leveraging IoT.

    Recently we have launched Industrial Grade, Multipurpose and Cross-Industry Device: Pragate – IoT Gateway Device, know more

    Nitin
    Nitin Tappe After successful stint in a corporate role, Nitin is back to what he enjoys most – conceptualizing new software solutions to solve business problems. Nitin is a postgraduate from IIT, Mumbai, India and in his 24 years of career, has played key roles in building a desktop as well as enterprise solutions right from idealization to launch which are adopted by many Fortune 500 companies. As a Founder member of Pratiti Technologies, he is committed to applying his management learning as well as the passion for building new solutions to realize your innovation with certainty.
  • 5 Questions You Need To Ask Before Choosing An IoT Partner

    5 Questions You Need To Ask Before Choosing An IoT Partner

    The journey from conceptualizing to implementing any Internet of Things (IoT) project is an arduous one. Even though many companies start out thinking that developing an IoT solution is a onetime affair, it is rarely so. As the technology landscape evolves, existing solutions continually call for the need to evolve and upgrade with the changing times.

    Hence, choosing the right development partner in this continuous journey right from the beginning is critical in terms of ensuring agility of processes, the efficiency of resources and ending up with successful project outcomes.

    Given this reality, it’s pertinent to ask the right questions to choose the most appropriate IoT partner for your project. On that note, here are 5 questions to help you make a good decision –

    Do they have the requisite knowledge and experience to do “your” job?

    When investing in building an IoT solution, you’ll ideally want to trust someone only with the desired experience and expertise, specifically related to your own specific requirements.

    While assessing any service provider, you should find out if they have a portfolio that reflects a history of creating capable solutions at the enterprise level. If they have worked in your industry segment it can be a big plus for you. Even if they haven’t, as a single company may not have experience in all industry verticals, you can examine their approach, for that might mean a lot in terms of demonstrating their capabilities.

    It’s also relevant for you to check how proficient they are in terms of both hardware engineering and software development, as any IoT solution essentially covers both these aspects. Knowledge of software development is important, but the ability to tackle the hardware engineering aspect cannot be ignored. Good knowledge and experience in both are critical in terms of influencing outcomes positively.

    Ideally, it’s best if you choose a provider that is experienced and provides a one-stop solution, across all your needs. Such a choice would imply efficiency, both in terms of execution and costs over the long term.

    How flexible are they?

    In addition to the technology fit, it’s very important to look out for flexibility in your IoT partner. You must attempt to find out how much the provider is willing to align their solution with your legacy architecture and whether they’re agile at implementing.

    Ideally, you should try to look out for one that is willing to use the technology you already have, and the devices and tools you prefer. It also makes sense to check if they agree to provide a customized or personalized solution in sync with the other aspects of your company’s infrastructure.

    Another filter you can apply here is to check whether they lock you in with proprietary technology. It’s only intuitive to avoid such providers from a future point of view.

    Do they have the ability to scale up as your needs evolve?

    As your solution propagates in the market, which is under constant evolution, your solution will naturally need to upgrade over time.

    The right IoT partner will be the one that demonstrates the ability to scale up and help you manage changes seamlessly. You might need to add new features or devices, and this must not imply reorganizing your entire solution.  Completely discarding your existing solution or turning to multiple third parties at a later point will only throw in unnecessary inefficiencies, delays, and unexpected cost escalations. Hence, it’s necessary to engage with an IoT partner that is capable of scaling up as your solution evolves.

    Moreover, you also need to be sure of their ability to work and manage your projects remotely.

    Are they trustworthy in terms of ensuring data security?

    Given the dynamic nature of the IoT environment, robust data security can be easily regarded as a non-negotiable requirement. The environment must be controlled, protected and have robust security mechanisms.

    Hence, you need to ensure that you only shortlist the provider who knows how to address and incorporate encryption of data, protection of your device and security mechanisms for device and cloud storage.

    The fact is that the end-to-end process of developing any IoT solution is multilayered. It covers the technology stack, devices, data collection, storage, and transmission, connectivity, cloud services, and much more. Any partner you pick needs to demonstrate thoroughness in this entire process and its components to avoid possibilities of data security breaches. You should also review their security audit process and tools.

    What is their cost structure like?

    All said and done, usually budget is the final deal maker or breaker when it comes to arriving at a decision. Taking the last call on the basis of a blended, ballpark cost estimate without a detailed breakup is incomplete information to make a budget based decision.

    It’s only intuitive for you to ask for a detailed quote. This will ensure that you have an apple-to-apple comparison between the different service providers. Also, the budget can never be the only decision point. You should be prepared to pay a premium to get a reliable and robust solution provider. This can save you significant headaches at a later date.

    With these considerations in place, you’re likely to pick a service provider that does justice to your project, time and resources.

    Our Services

    Digital Twin Platform | Healthcare Software Development | Solar Energy Analytics | Digital Product Development

    Nitin

    Nitin Tappe

    After successful stint in a corporate role, Nitin is back to what he enjoys most – conceptualizing new software solutions to solve business problems. Nitin is a postgraduate from IIT, Mumbai, India and in his 24 years of career, has played key roles in building a desktop as well as enterprise solutions right from idealization to launch which are adopted by many Fortune 500 companies. As a Founder member of Pratiti Technologies, he is committed to applying his management learning as well as the passion for building new solutions to realize your innovation with certainty.

  • How IoT Is Helping Solve Efficiency Problem In The Manufacturing Industry With Industry 4.0?

    How IoT Is Helping Solve Efficiency Problem In The Manufacturing Industry With Industry 4.0?

    Internet of Things and Industry 4.0 together are changing the face of the manufacturing industry, making manufacturing processes smarter and more data-driven. Prior to these getting introduced, manufacturers were tied up with daily operational tasks with limited time to spend on strategies. A lot of data was gathered around vendors, customers, product demand, supply chain, and related important sections but to utilize the data to get sight full results weren’t easy in absence of Industry 4.0.
    Moreover, low efficiency, high supply chain-related costs, and the lack of innovation was an add on. These concerns are now a thing of the past with Industry 4.0 transforming processes and IoT makings its way onto the production floor. Machine-to-machine communication is digitizing factories and production floors by decentralizing control, while IoT-enabled sensors are automating the workflow through smart IoT devices. Moreover, the industrial assistance systems are now being added, which use intelligent communication and Augmented Reality /Virtual Reality to offload the burden on human resources by enhancing production efficiency and driving productivity. It should be noted that decentralizing production has caused a paradigm shift in the manufacturing sector. Today, floor and factory equipment are not simply products; they are intelligent, smart products that can communicate with each other, provide instructions, and share information.

    IOTizing Automation

    IoT and Industry 4.0 share a mutual connection: Industry 4.0 always uses IoT or Intranet of Things for digitizing the manufacturing processes. All devices, equipment, robots, tools, and simulations used in Industry 4.0 have IoT-enabled sensors that regularly communicate and exchange data. Therefore, automation and IoT work in tandem, but the ambit and the range of possibilities, IoT introduces to automation are limitless. Though the flooding of new technologies can prove overwhelming for many, sorting and selecting the key automation goals can be very beneficial for manufacturers.

    A quick glance into history will affirm that automation and IoT are not new for manufacturers. They have already been using robots and sensors connected to servers to automate tedious and monotonous manufacturing processes, but today, technology has moved beyond simple data gathering. Manufacturers are now working in a digital, connected environment. This near-real-time insight for optimizing processes is new for manufacturers. They can work this arrangement to their benefit by leveraging the data generated from smart, connected systems to distinguish their services and recognize new revenue opportunities. Data from machines on the shop floor can be fed into the cloud-based Manufacturing Operations System (MOM) to manage manufacturing operations more efficiently. Real-time data analysis by MOM/MES will offer complete visibility into, control of, and sync between inventory and production, thereby guaranteeing quality is always maintained.

    Complete Manufacturing Visibility

    Smart factories are now a reality, but it doesn’t stop there. Manufacturers still have plenty to gain by becoming more in tune with machines and devices. The greatest potential for IoT in conjunction with Industry 4.0 will be complete supplier visibility: Information about every component or product can be easily tracked, right from the manufacturing start to the final destination.

    IoT-enabled sensors in automated systems can be used, instead of the human judgment, to monitor the performance of floor equipment and machines. Sensor data generated from different parts of the manufacturing floor can be leveraged to track equipment condition. Machinery data can be used to adjust workflows, remove inefficient practices, monitor capacity erosion, and eliminate line performance bottlenecks. With predictive maintenance, sensors can inform when machines need servicing to prevent breakdown, and in the event of a breakdown, data can be analyzed to find out the root cause and prevent similar occurrences in the future.

    When machines and equipment are operating efficiently, quality and production get augmented as up-time is higher, equipment is effective, scrap is less, rework is minimal, and operating costs are low. Floor operators are more engaged, and front-line workers and management have all the necessary information for greater responsiveness, accountability, and ownership, thereby ensuring complete manufacturing supply chain visibility.

    Conclusion

    IoT and Industry 4.0 can be combined to create the digital twin of a manufacturing plant. Data from all sensors can be gathered in a big database of IoT Platforms, and a new enterprise software system can be developed basis the data. The software system, replete with alerts, dashboards, and reports would provide a clear picture of the current status and operational efficiency of each machine & manufacturing process. Data and reports can also be used to drive continuous improvement across the manufacturing plant. We employed the same technique for a leading client from the injection molding industry, and it resulted in enhanced process efficiencies for our client.

    By connecting automated production technologies and smart manufacturing processes, IoT and Industry 4.0 are building a new manufacturing landscape, which is smartly automated and all set to transform the manufacturing value chain and business model in the days ahead.

    Our Services

    Digital Twin Platform | Healthcare Software Development | Solar Energy Analytics | Digital Product Development

    Nitin
    Nitin Tappe After successful stint in a corporate role, Nitin is back to what he enjoys most – conceptualizing new software solutions to solve business problems. Nitin is a postgraduate from IIT, Mumbai, India and in his 24 years of career, has played key roles in building a desktop as well as enterprise solutions right from idealization to launch which are adopted by many Fortune 500 companies. As a Founder member of Pratiti Technologies, he is committed to applying his management learning as well as the passion for building new solutions to realize your innovation with certainty.
  • What Will it Take to Realize the Promise of IoT

    What Will it Take to Realize the Promise of IoT

    IoT Why now? What’s new? : Did you know the term “Internet of Things” (IoT) was coined way back in 1999? Some of the key elements of IoT have been around for a pretty long time. Oil fields, for instance, have had 1000s of sensors for quite some time. SCADA systems have been around since the 1960s. What’s new is the ability to connect billions of sensors/devices to the Internet. What’s new, is the ability to analyze petabytes of data streaming in from these devices, and then to drive decisions. Also what’s new, is that devices have become a lot smarter with better processing capability and lower cost. The convergence of these developments has created a powerful mix. So much so, that IoT is expected to drive the next Industrial Revolution – Industry 4.0. The convergence has also created a powerful set of expectations. So much so, that IoT sits right on top of Gartner’s Hype Cycle.

    Is it overhyped?

    Near-term value: Over the next 3-5 years, IoT will definitely transform certain processes across some industries/environments

    Inhibitors: However, significant hurdles will have to be overcome, to quickly cross the “Trough of Disillusionment”, and realize the full potential.

    Monetization: A lot of value will come from integration, and novel business models will be needed to share this value equitably amongst the participants.

    Near-term value

    IoT indeed is for everyone. It is useful to think of a maturity model for IoT. Wherever you may be on this model, chances are there is some implementation / upgrade that will be appropriate for you in the near future.

    The maturity of IoT adoption and the ability to move to the next level will govern the near term value created. E.g. the monitoring phase is mature in the process and manufacturing industry, and the near-term value for them is how quickly they can climb to ‘Predict’ and ‘Optimize’ levels.

    The macro-economic environment also has a direct impact on the value delivered. For instance, in developing economies, implementing a simple monitoring solution (e.g. monitoring water transportation from a reservoir to tap) can give huge benefits and value, as compared to same in developed economies. At the same time, developed economies can harvest value by implementing predict / optimize the solution for their existing monitoring solution.

    Inhibitors

    Hurdles around sensor/device costs, system security, and organizational structures, while non-trivial, will get addressed sooner – driven by the economics of IoT. Hurdles around data ownership, interoperability and infrastructure will be more complicated to overcome, and could hold back IoT from delivering its promise fully.

    Data ownership and privacy: These topics have been debated in the context of social media – does the data belong to the user, or to the platform provider, how much can be shared, with whom etc. Fresh debates will arise in the wider context of IoT, when an enterprise gets connected with its suppliers and customers more seamlessly. These debates may have to be resolved case-by-case and hence may take a while to settle down.

     Interoperability: The current phase of “” will lead to robust and scalable solutions in the long run. In the short run however, the explosion of point solutions and even of platforms, can lead to severe interoperability challenges. While industry consortia like the All Seen Alliance are working on evolving common standards, the challenge is unlikely to get resolved in the short run.

    Infrastructure: Many use cases require a level of infrastructure that does not yet exist in developing economies. The “digital divide” has reduced but is far from gone. There are regions that still don’t have electricity. Internet penetration rates in Asia and Africa are still less than 40%. Where access exists, speed and reliability is often lacking. It is no wonder then, that as per OECD’s 2015 report, variation in the number of online devices per capita is not a few percentage points, but is in the range of 3x – 5x!

    Our Services

    Digital Twin Platform | Healthcare Software Development | IoT development services | Digital Product Development

    Nitin

    Nitin Tappe

    After successful stint in a corporate role, Nitin is back to what he enjoys most – conceptualizing new software solutions to solve business problems. Nitin is a postgraduate from IIT, Mumbai, India and in his 24 years of career, has played key roles in building a desktop as well as enterprise solutions right from idealization to launch which are adopted by many Fortune 500 companies. As a Founder member of Pratiti Technologies, he is committed to applying his management learning as well as the passion for building new solutions to realize your innovation with certainty.

  • The Criticality of Product Management for Tech Startups

    The Criticality of Product Management for Tech Startups

    For a technology company delivering products, the product manager sets the vision and strategy for the deliverable, manages and leads a diverse team of designers, engineers, testers, and marketers, and strives to launch the product into success.

    Countries all over the world outsource app development to India. The country is rich in resources and infrastructure needed for outsourced product development. Along with those, product managers are also easily accessible for startups who struggle to maintain a diverse set of products in-house.

    To deliver a robust and high-value product to the market, product managers need to be user experts. They need to constantly analyze user needs and gauge whether or not the product meets them.

    For tech startups, product management takes on a critical role. They can seamlessly outsource this role along with outsourced product development to countries such as India, as it could be hard for them to hire full-time employees dedicated to one function.

    Product Development Challenges for Startups

    In today’s shaky economic climate, business owners and startup founders are becoming more cautious regarding their bottom lines, reorganizing and leveraging resources to minimize any redundancy and reduce costs.

    Product management holds sense for startups as much as it does for enterprises. In a nutshell, product management reaches across teams to design and bring better products to the market that appeal to customers, targeted buyers, and users at companies in target market segments.

    Product management is a critical discipline that startups often struggle with in many ways:

    • Aligning Product Strategy while Scaling – As startups grow and expand, they face challenges such as steep growth periods, bugs, culture shifts, and new office locations. Product managers are the ones responsible for keeping the product afloat and in good shape when a steep scaling up happens. As new hires join a growing organization, product managers align them with the product vision and strategy- being the glue that holds a product team together.
    • Management of the Development Process – Often, when startups fire up, they rely on lean strategies such as DevOps and Agile methodology. However, as these companies grow, they increasingly find it hard to stick with these practices. It is then the job of the product manager to see that the frameworks are consistently followed for better product management.
    • Customer Retention and Acquisition  – No company wants to acquire new customers at the cost of the ones already on board. When startups grow and scale, product managers get pulled in all different directions. It is, however, their job to satisfy existing markets while expanding into new ones.
    • Wearing Many Hats  – Product managers at startups have many responsibilities. As a product grows, the team needs to expand. Otherwise, the product manager could get overwhelmed. Growing teams is another challenge that product managers face as it is not easy for them to find product or UX engineers fast enough.
    • Balancing Sales and Product Revisions – Often, startups are all about sales. Sales peers will ask product managers to integrate a feature in an existing product fast so they can close a whale of a deal. In early-stage startups, it is, therefore, a challenge to balance a product and its subsequent revisions and sales- which comes first?

    Since startups often lack the resources to hire an in-house, dedicated product manager, it is a good idea for them to outsource product management just as they outsource app development and avail outsourced software product development services.

    The Key Responsibilities of a Product Manager in a Tech Startup
    A product manager can help a tech startup in the following ways:

    • Understand and analyze the audience and the target market to gauge the users’ current and future needs. This insight can be gained by conducting interviews, surveys, and testing prototypes.
    • Gain an in-depth understanding of the target market and the competitors to devise the right positioning for the product.
    • Devise a product strategy that is in line with the business model and generates the desired revenue.
    • Communicate the goal of the product, its mission, and vision with the teams working on designing and marketing the product.
    • Monitor analytics for the product by gathering customer feedback and analyzing where the product can be improved in the next revision.

    Why Product Management is a Critical Component in Software Development 

    Product management is vital for your startup since it helps you learn more about not only your customers but also your competitors. Without sufficient knowledge about your competitor product, you cannot devise the right positioning for your product and might end up losing out in the market.

    Product management can also help in defining the roadmap for the entire product journey, so you head in the right direction. A good product roadmap is a clear, visual, accessible picture of how a product might evolve and sustain the market.

    Any startup willing to grow and expand through its product needs to have a comprehensive understanding of the customers. Only then the product can solve their pain points and succeed in the market. Product management helps you gain that insight into the customer.

    Small business owners and entrepreneurs juggle with a lot of the tasks at the same time. As time passes, some high-priority task might fall off the priority list, leading to inefficiencies in the business and negative repercussions. A product manager ensures nothing mission-critical gets stalled. So that business owners can focus on everything else, resting assured that their product is taken care of.

    Since it is evident that product management is unmissable for startups, you can choose to insource or outsource product management. However, there are few things to keep in mind before choosing a company to outsource product management to. Here is a simple checklist to help you make the selection.

    At Pratiti, we offer outsourced software product development services to startups all around the world. Our outsourced product development services are sought by startups struggling to define, manage, and launch their products in the market.

    Our Services

    Digital Twin Platform | Healthcare App Development | IoT development services | Digital Product Development

    Nitin
    Nitin Tappe After successful stint in a corporate role, Nitin is back to what he enjoys most – conceptualizing new software solutions to solve business problems. Nitin is a postgraduate from IIT, Mumbai, India and in his 24 years of career, has played key roles in building a desktop as well as enterprise solutions right from idealization to launch which are adopted by many Fortune 500 companies. As a Founder member of Pratiti Technologies, he is committed to applying his management learning as well as the passion for building new solutions to realize your innovation with certainty.
  • Amplifying the Impact of DevOps with Continuous Product Definition

    Amplifying the Impact of DevOps with Continuous Product Definition

    Anyone who hasn’t been living under a rock knows about DevOps now. In a nutshell, DevOps is a Software Development philosophy centered on agility, automation, and collaboration within development and operations teams.

    The DevOps market is expected to grow from $3.42 billion in 2018 to $10.31 billion in 2023 at a CAGR of 24.7 percent, suggest Markets and Markets.

    DevOps gives a modern twist to Software Development, which traditionally happened in silos. IT and development teams worked independently with their teams and set of processes. This separation created an environment of competition instead of collaboration, leading to inefficient processes and delays in production.

    The goal of DevOps is to eliminate this distinction between the two core development teams. DevOps attempts to remove inefficiencies in the software development process by aligning the strategy of the teams and creating more seamless processes for faster time to market.

    To understand how DevOps improves upon many software factors, we need to look at its process flow.

    The DevOps Process Flow

    While DevOps is a practical methodology, it also leads to a fundamental change in an organization’s culture and the mindset of its people. DevOps stands firm on a few fundamental principles:

    • Automation – Since DevOps promotes a culture of continuous improvement with faster releases, organizations need to eliminate manual execution of trivial tasks that hog up critical employee hours. This is where automation plays a role. DevOps encourages automation not only in the software development process but in the entire infrastructure by building container-based cloud platforms that allow builds to be versioned and updated.
    • Agile Planning – Instead of the traditional approaches to Project Management, DevOps supports Agile planning, which organizes work in short iterations and increases the number of releases. Agile planning increases flexibility and room for pivots by allowing teams to have only high-level objectives outlined while having a detailed plan for the next two iterations in advance.
    • Iterations – Iterations are an essential concept in DevOps where teams make quick revisions to code and allow flexibility in changing the course where needed. DevOps, in itself, is an iterative method that promotes continuously making small increments in a software product to encourage transparency in the process and minimize errors at the end of the development cycle.
    • Self-Service – Self-service DevOps enables developers to deploy apps and software on demand all by themselves as the IT team has done its part of the job beforehand. This way, DevOps ensures there are no hiccups and delays in product delivery, achieving a state of continuous delivery.
    • Continuous Improvement  – In the light of changing circumstances, DevOps philosophy enables teams to adapt to customer needs, new technologies, or changes in regulatory compliances. To minimize waste and optimize cost and speed of development, DevOps strongly recommends continuous improvement throughout iterations.
    • Collaboration – The DevOps practice is not based on working in silos. Far from it. It encourages IT and development teams to work in conjunction, dissolving any pre-existing boundaries within the two departments. For this reason alone, DevOps can be seen as a cultural shift rather than a new practice for organizations.
    • Continuous Testing – This principle focuses on achieving continuous improvement and quality of products. The constant testing process helps find gaps in product quality and interactively fix them, so they don’t mount upon one another at the end of development.

    Besides these core principles, DevOps work on three core practices:

    • Continuous Integration (CI) – CI aims at integrating the work of individual developers into a central code repository frequently and early on in the development process. When practised several times a day, continuous integration ensures early detection of integration bugs and a better quality of the product.
    • Continuous Delivery (CD) – CD aims to automate the software delivery process to enable assured and comfortable deployments into production at any time. Businesses can use an automatic or manual trigger to release bug-free code into production frequently.
    • Continuous Deployment – Continuous integration and delivery, when combined, support the constant deployment of project code at the customer’s end.

    The Importance of Product Definitions

    Of course, DevOps can be termed as successful only when the product is properly defined. A well-defined product definition ensures that all stakeholders are on the same page with respect to the product requirements, features, and manifestation.

    At a broad level, product definition involves

    • Identification of the problems that the product should solve, the exact user/ customer profile, and what would the product success look like
    • Building the business case, market necessities, use cases, and the overall vision for the product
    • Defining a well-characterized UI/UX to create a frictionless and pleasant product

    When Continuous Product Definition Meets DevOps

    Continuous, frequent, and optimized Product Definition in DevOps leads to several benefits, such as:

    • Significant increase in the number of quality product releases combined with continuous integration and delivery.
    • Improved confidence in the team as there is less room for errors and teams collaborate on a mature level to deliver the end product.
    • Reduction in manual labor with implementation automation. Menial tasks are, therefore, left to automation while employees focus on delivering product versions to the customer.
    • Minimized risk of errors or failure in production as teams implement continuous testing to eliminate any bugs and rapidly deploy bug-free code to production.
    • Faster feedback incorporation as any feedback from the customer leading to higher customer satisfaction.
    • More room for innovation as teams collaborate and look at how the next iteration can be made better while the product definition is being constantly validated.
    • Faster time to market of the right products leading to strong competitive advantage.
    • Higher ROI as teams don’t spend hours working on unnecessary features, they test often, and minimize wastage of code when nearing deployment.

    In 2018, 72 percent of companies had already adopted DevOps in some form or the other; 17% of them have fully embraced the technology.

    DevOps is getting more and more popular and continuous product definition is accentuating its effect on the delivery cycles and development methodologies of many companies.
    At Pratiti Technologies, we help businesses in transforming their development cycles with DevOps and continuous product definition. We offer an array of services and tools to ensure you follow the right DevOps roadmap, strategy, and measure the performance of your development lifecycle to see improved ROI.

    Talk to us about our DevOps services today!

    Our Services

    DevOps Services | Digital Twin Platform | Healthcare Software Development | IoT Development Services

    Nitin

    Nitin Tappe

    After successful stint in a corporate role, Nitin is back to what he enjoys most – conceptualizing new software solutions to solve business problems. Nitin is a postgraduate from IIT, Mumbai, India and in his 24 years of career, has played key roles in building a desktop as well as enterprise solutions right from idealization to launch which are adopted by many Fortune 500 companies. As a Founder member of Pratiti Technologies, he is committed to applying his management learning as well as the passion for building new solutions to realize your innovation with certainty.

  • My ONE Advice to Product Development Teams

    My ONE Advice to Product Development Teams

    “No man ever steps in the same river twice, for it’s not the same river and he’s not the same man.” – Heraclitus of Ephesus

    I have always believed that advice that works for someone in a specific context might not work for another. Times change and with it do people, behaviors, and attitudes. It is because of this, for any advice to be of any relevance, it has to be malleable enough to be adaptable.
    The case is no different when it comes to product development. Product development teams today are living in the vortex of change. There is something new to battle every day – be it new technology, a new consumer demand, a new tool, a new development methodology, a new skill set…the variables in product development are always tipping in favor of a change.

    Despite how unnerving this environment of change might look externally, I believe, for product development teams, these are all great problems to have. These challenges provide new opportunities to innovate and grow both professionally and personally.
    However, I also believe that living in this change, transition, globalization, pressing times lines, increased competition, and increased pressure to roll out robust products owing to changing customer preferences, is anything but easy.

    “How can you make the product better” has become the mantra for survival putting product development teams under increased pressure. Challenges are the new normal in the product development environment.

    So how can product development teams navigate this new world, battle its challenges, and emerge victorious? My advice would be to do the hardest things first.

    I know I had said that no generic advice could be considered good. However, this advice that I am giving is malleable. It can be used to suit your specific situation, circumstance, and time. That is what makes this relevant.

    Now let’s come back to why I said that doing the hardest things first is the best solution for product development teams.
    The power of value

    If you read enough time management articles, you’ll see that these primarily tell you to do the easier things first. This gives you a sense of accomplishment as you see tasks being ticked off your to-do list. However, I have noticed, that most commonly, the easiest tasks are of the lowest value. They might be important in the larger scheme of things but do not necessarily help, assist, or complement the other moving parts.
    Hard tasks, on the contrary, are almost always of high value. They form an important part of the big picture and have many associated dependencies. The impact of these tasks is also greater than simpler ones. Ticking off the hard tasks on your to-do list gives you a sense of real accomplishment because you manage to deliver greater value.

    Think about it – what would make you feel more accomplished? Climbing a hillock or scaling a mountain? Hard tasks are like scaling the mountain. It is hard to do but hold more value, and hence the sense of accomplishment that follows is unparallel.
    The power of momentum

    “You don’t have to see the whole staircase; just take the first step”. This quote by Martin Luther King is one I go back to every time I feel like I am looking at a hard challenge.

    When things look tough, we often tend to get overwhelmed by the magnitude of the problem. The trick to conquering this feeling is to break down the problem, identify its cause, and then fix it.

    When it comes to product development, it makes sense to tackle the hardest thing causing a problem/issue/ roadblock, etc. for a very simple reason – it helps you set things into motion. When you identify the answer to the hardest challenge, you automatically get answers to your lesser value problems as well.

    Once you get going with the hard things at hand early in the product development cycle, it sets the pace for your team, and the momentum keeps you moving. Once the pace is set, this momentum automatically accelerates in the right direction.

    The power of value

    If you read enough time management articles, you’ll see that these primarily tell you to do the easier things first. This gives you a sense of accomplishment as you see tasks being ticked off your to-do list. However, I have noticed, that most commonly, the easiest tasks are of the lowest value. They might be important in the larger scheme of things but do not necessarily help, assist, or complement the other moving parts.

    Hard tasks, on the contrary, are almost always of high value. They form an important part of the big picture and have many associated dependencies. The impact of these tasks is also greater than simpler ones. Ticking off the hard tasks on your to-do list gives you a sense of real accomplishment because you manage to deliver greater value.

    Think about it – what would make you feel more accomplished? Climbing a hillock or scaling a mountain? Hard tasks are like scaling the mountain. It is hard to do but hold more value, and hence the sense of accomplishment that follows is unparallel.

    The power of momentum

    “You don’t have to see the whole staircase; just take the first step”. This quote by Martin Luther King is one I go back to every time I feel like I am looking at a hard challenge.

    When things look tough, we often tend to get overwhelmed by the magnitude of the problem. The trick to conquering this feeling is to break down the problem, identify its cause, and then fix it.

    When it comes to product development, it makes sense to tackle the hardest thing causing a problem/issue/ roadblock, etc. for a very simple reason – it helps you set things into motion. When you identify the answer to the hardest challenge, you automatically get answers to your lesser value problems as well.

    Once you get going with the hard things at hand early in the product development cycle, it sets the pace for your team, and the momentum keeps you moving. Once the pace is set, this momentum automatically accelerates in the right direction.

    Accelerate your feedback loop

    Feedback is a vital piece of the puzzle that helps product development teams roll out robust, error-free products into the market faster. However, understanding the customer and what she wants in a shape-shifting economy can be hard to nail.

    Getting to know how your customers want to use your product, how they want to experience it, and what they want from the product down to the last detail has to be the core of product development teams. But how can they achieve this?

    Apart from the usual suspects of requirement gathering, product teams can accelerate the feedback loop by working on the hard things first. Usually, it is the hard things that constitute the most crucial part of the product. Getting done with this part thus gives your product development team the bandwidth to roll the product out to a small group of beta users. You start gathering early feedback. You incorporate this feedback into your product development plan, and then you roll out the final version of your product. How do you think your customer base will react to your product then?

    “Eat a Live Frog Every Morning, and Nothing Worse Will Happen to You the Rest of the Day”- don’t go by the false sense of security and the fake impression of progress that comes from simply completing easy tasks. Instead, battle the hard things first mainly because hard things need more heads-down time. They also net in bigger rewards. I’m sure you’ll agree that writing a screenplay is much harder than answering twenty emails. But which one do you think will matter later?

    So, don’t let your day get usurped by tasks that you can complete easily while you let the hard tasks become herculean behemoths. Work smart by just doing the hard tasks first.

    Our Services

    Digital Twin Platform | Healthcare App Development | IoT development services | Digital Product Development

    Nitin
    Nitin Tappe After successful stint in a corporate role, Nitin is back to what he enjoys most – conceptualizing new software solutions to solve business problems. Nitin is a postgraduate from IIT, Mumbai, India and in his 24 years of career, has played key roles in building a desktop as well as enterprise solutions right from idealization to launch which are adopted by many Fortune 500 companies. As a Founder member of Pratiti Technologies, he is committed to applying his management learning as well as the passion for building new solutions to realize your innovation with certainty.
  • A 10-Point Checklist for Selecting the Outsourced Product Development Partner

    A 10-Point Checklist for Selecting the Outsourced Product Development Partner

    Successful businesses often outsource their tech product development to an offshore company with domain expertise and technical skills, so that they can focus on their core competencies. In general, offshore product development companies could play any one of three roles- assistant, advisor, or partner.

    A software development company playing an assistant’s role will cater to specific delivery levels. The one associated as an advisor will take care of things at the management level. A software development partner, on the other hand, will work entirely toward your goals and put efforts to make the engagement a success.

    Outsourced Product development partnerships are extremely beneficial for businesses that want to get experts to develop their products, while they focus on other vital aspects of their business. A recent Gartner report suggested that global IT spending is set to increase to $3.8Trillion in 2019/20, showing a 3.2 percent increase from the investments in 2018/19.

    The lack of in-house talent and the high cost of in-house employees remain the top reasons why companies outsource product development. A Statista report shows that India and China are the leading exporters of tech product outsourcing services, bringing in a cumulative $150billion in IT exports.

    But, in an overcrowded tech market, it can be challenging to choose your ideal partner for an outsourced partnership.

    The Cost of Choosing the Wrong Partner

    Estimating the number of hours, the amount of effort, and the cost of reiterating the process can seem daunting. While contracting out product development might look easy at first, as businesses get deep into the process, they often realize they have married the wrong partner.

    Married, because what comes after is uglier than a divorce. Know that you are risking trust, IT security, knowledge, quality, time, and money with any outsourced product development partnership. Thus, when you choose the wrong vendor, you lose a lot more than money and time.

    Now that we know how expensive it could be to get your product in the wrong hands, let’s see how we can prevent that from happening.

    A 10-Point Checklist for Picking the Right Partner

    • Industry and Technical Knowledge – This one is a no-brainer for any company outsourcing its product development. Your ideal outsourced partnership should stand on a foundation of competency. Look for employees on their team with the right skills. Arrange for a meeting with their key personnel. Know the business’ cumulative knowledge and expertise by asking the right questions.
    • Process Management – The software development model that your partner uses makes a huge difference in how flexible, transparent, and inclusive their process is for you. You want to make sure they use the latest methodologies such as DevOps, Agile, and so on. Managing a complex product development process can be a hassle for a noob company. Watch out.
    • Partnerships – Look at the current and previous partnerships the organization has had with businesses. You might want to check whether these companies come from various time zones, languages, and industries. The primary aspect we are looking for is compatibility. Will they be able to fit in with your processes and gel up with your organization as a partner?
    • QA and Testing – A salient and critical feature of any tech product is its quality. You don’t want to invest in a company and end up with a buggy product that does not perform well. To ensure product quality, look at the prospective company’s quality assurance and testing methodologies. You might also want to consider talking to their QA experts.
    • Communication and Transparency – Almost all partnerships can fail without the right communication systems in place. You say one thing, they hear another. Miscommunication and gaps in interaction are common when working with a remote partner. Learn how your prospective company maintains consistent communication and keeps the progress transparent. You want to work with a partner company that keeps you in the loop at all times.
    • Skillset Diversity – Any tech product’s development involves a team with varied skillsets. You need developers in various programming languages, UI/UX designers, quality analysts, testers, support specialists, and so on. If your product involves these functions, you need to partner with a company that has a varied skill set on the board.
    • Experience and Testimonials – When looking for an outsourced product development company, consider learning about the combined experience of the leadership team as well as that of the product development team. You don’t want to work with fresh graduates when you need core expertise and insightful experience. Also, look at the prospective company’s testimonials. What other customers have said about a company tells a great deal about their services.
    • Flexibility and Engagement Model – More and more companies these days are looking for partnerships with flexibility and an array of engagement models in pricing. Almost all businesses now need customized engagement models to fit their needs instead of the other way around. Flexibility and the right engagement model will ensure you don’t shell out more than you should for your product’s development. A partner with multiple engagement models (T&M, FFP, NTE, Risk Reward / Royalty, etc.) offers a smoother, long and lasting relationship.
    • Proactiveness – The ideal outsourced product development partner must be proactive in catering to your business’ needs. This company should not wait around for you to lead but should proactively present new ideas and innovative concepts to bolster the development of your product in the right direction.
    • Commitment toward Shared Goals – No relationship can survive if two parties are vested in their own interests. Therefore, your ideal outsourced development partner should have a deep understanding of what you want to achieve with product development. Your outsourced team should then work toward these goals to create a synergized environment that boosts business.

    There is a lot for businesses to consider when choosing an outsourced product development partner. Your product’s quality, functionalities, and appeal entirely depend on how it was developed. Not only that, but you also risk your market reputation, brand image, and customer trust when outsourcing such an essential function.

    At Pratiti, we believe in taking full accountability and ownership of your product while it’s still developing. Instead of being your vendor, we extend our services to become your partners in ensuring the success of your product. We have the right blend of design and tech competency to develop complex tech products with an eye toward your industry. Talk to us today at insights@pratitiech.com / contact@pratititech.com.

    Our Services

    Software Product Development | Digital Twin Platform | Healthcare Software Development | IoT Development Services

    Nitin

    Nitin Tappe

    After successful stint in a corporate role, Nitin is back to what he enjoys most – conceptualizing new software solutions to solve business problems. Nitin is a postgraduate from IIT, Mumbai, India and in his 24 years of career, has played key roles in building a desktop as well as enterprise solutions right from idealization to launch which are adopted by many Fortune 500 companies. As a Founder member of Pratiti Technologies, he is committed to applying his management learning as well as the passion for building new solutions to realize your innovation with certainty.

  • How Enterprise Products Have Changed in The Age of Mobile

    How Enterprise Products Have Changed in The Age of Mobile

    The technology landscape continues to evolve and change the way we communicate, live, and work. Disruption has become the name of the game, and mobile unarguably has been one of the greatest disruptors of all times.

    The rapid adoption of mobile in the enterprise has led to the consumerization of enterprise products as well. The expectation from these products is the same as that of consumer-focused applications. As a result, the choppy, clunky, and complex enterprise product experiences are now undergoing a dramatic facelift as the tech-savvy millennials start becoming the face of the workforce.

    But how have enterprise products changed in this age of mobile? Let’s take a look:

    Design focus in the age of the consumerization of everything

    Unlike the Great Depression, the Great Consumerization of enterprise products is something to be celebrated. Technology, by itself, is not enough to ensure adoption, and with the dawn of the mobile age, this writing is more like a graffiti on the wall.

    While for the longest time, we had to use enterprise products that were feature-rich and primarily evaluated for raw product functionality, usability was not a focus area. The maddening maze of icons on interfaces was a normal reality. However, with the consumerization of enterprise products – all thanks to the BYOD revolution – enterprise products are now taking a more consumer-centric design approach.

    Usability and User experience

    Mobiles brought the rise of greater digital experiences. They became the harbinger of change and managed to change businesses more than how the internet did back in the 1990s.

    While functionality remained an integral and essential part of enterprise products, it was clear that there was no place for poorly designed, aesthetically challenged, hard-to-use products. With the workforce bringing in as many three personal devices for work, having a strong usability focus was as essential as the utilitarian focus.

    Enterprise products with the advent and adoption of mobile had no other option but to mimic the consumer-grade mobile applications. They became easy-to-use and as intuitive, just like consumer applications.

    As the maturity of the enterprise product audience grew, we saw the advent of gamification, haptic technology, animation, etc. to elevate UI and UX experiences.

    Design rules – you still need to keep it simple

    We also have to consider that enterprise products and applications are growing in complexity. Each new release ensures that the functionalities grow. However, adding features on feature with no cohesion make the application more complex and harder to navigate. This eventually becomes the mountain between adoption and productivity.

    As consumer-grade mobile experiences become the driver of user expectations, it becomes clear that enterprise products have to balance complexity with fluid and elegant design – reducing the effort that takes to go from point A to point B.

    Scaling the security chasm

    Flexibility – the one thing that mobile gave us and completely changed the world on its head. It gave us new ways of working and increased opportunities for the enterprise. It also gave the enterprise the nudge that it needed to create bespoke solutions to meet their unique challenges.

    But with this great flexibility came the greater concern of security. Enterprise products have to be not only usable and flexible but also highly secure. They need to make sure that confidentiality and data security are not compromised at the altar of the speed of business.

    Owing to this, we have seen a heightened focus on security testing, the adoption of security measures such as stronger authentications, and enterprise mobility management (EMM) tools to address security issues, etc.

    Performance rules

    Enterprise products, in the age of mobile, have become more performance-driven than ever before. The strong performance focus has been primarily because of the rise of the ‘anytime, anywhere’ work culture brought about by mobile.

    Ready availability across devices and high performance have become non-negotiable when it comes to enterprise products. To enable this, we have seen a focused shift to leverage technologies such as the cloud so that the product content can be stored in a central server. This also helps to reduce the time taken to make application updates and also thereby reduces application downtime.

    The integration conundrum

    Mobile also introduced us to a range of consumer applications that used an army of connected apps to help us accomplish our tasks. Traditionally, enterprise apps took a more siloed approach.

    Today, however, this landscape has evolved. Enterprise apps are tearing down the walls of these siloed experiences and delivering an environment of an ecosystem of connected applications that support a full range of plug-ins. The enterprise is now offering an ‘App Store’ experience and thereby extending the value and the functionality of their enterprise products.

    Conclusion – The rise and rise of the mobile-first enterprise

    Mobile is the heart of all things digital now. And enterprises are now becoming digital businesses. There is a pronounced shift in the way work happens in the wake of the anywhere, anytime economy.

    Enterprise products are no different. As mobile changes how organizations work, engage with employees and manage their operations, enterprise product development has moved towards a more ‘mobile-first’ approach.

    This means, enterprises today are thinking more critically about the mobile experience when designing any enterprise product, website, or any digital means of communication. This means relooking and reconsidering the tools, technologies, and techniques employed to build and deploy enterprise products as well as accommodating desktop computing in a more task-specific and flexible manner.

    Enterprise products today, thus, are being developed while keeping the mobile experience in mind. So, we design products for smaller screens first and then add the content and features for bigger screens.

    Clearly, amongst other things, mobile has led to the great ‘application of enterprise products – think micro apps that are easy to use along with being single purpose. They are also more value-driven, task-specific, and integrated with the entire enterprise system and truly enable the ‘always available’ enterprise.

    Our Services

    Digital Twin Platform | Healthcare App Development | IoT development services | Digital Product Development

    Nitin
    Nitin Tappe After successful stint in a corporate role, Nitin is back to what he enjoys most – conceptualizing new software solutions to solve business problems. Nitin is a postgraduate from IIT, Mumbai, India and in his 24 years of career, has played key roles in building a desktop as well as enterprise solutions right from idealization to launch which are adopted by many Fortune 500 companies. As a Founder member of Pratiti Technologies, he is committed to applying his management learning as well as the passion for building new solutions to realize your innovation with certainty.
  • Let’s Talk About IoT Analytics

    Let’s Talk About IoT Analytics

    For organizations on the road to digital transformation, embracing the world of IoT might seem like an obvious business move. And statistics prove that. According to McKinsey, IoT devices are geared to generate up to $11.1 trillion a year in economic value by 2025.

    By efficiently analyzing hordes of real-time data, IoT is helping enterprises make better decisions, improve efficiency, boost customer experience, and drive growth.

    With IoT, there’s a lot that organizations can benefit from. However, more than having a robust IoT data strategy in place, what organizations need to work on is a comprehensive analytics strategy. After all, it is through analytics that you can harness the power of IoT data and lay it as a foundation of successful IoT solutions. And unless you have your analytics basics right, there’s no way you can achieve success with IoT.

    So, let’s dive into the world of IoT analytics – right away!

    What is IoT analytics?

    The primary purpose of any IoT device is to capture information and analyze it to enable better decision-making. For example, in the manufacturing space, IoT devices collect and analyze data from manufacturing equipment, the assembly line, smart meters, and more to improve operational efficiency, provide alerts, avoid equipment failures, ensure safety as well as reduce manufacturing costs.

    All this is made possible only by IoT analytics. So, what is IoT analytics anyway?

    • IoT analytics is a set of data analysis tools and technologies that unearth insight and value from massive volumes of IoT data.
    • By filtering, transforming, and enriching massive volume of unstructured data, IoT analytics applies machine learning queries to perform complex analytics and inference.
    • It collects, processes, and stores data from IoT devices and uses analytics algorithms to understand correlations and make predictions.
    • Through modern analysis algorithms, it offers accurate and comprehensive information for business reporting and analysis.

    What Goes into IoT Analytics?

    The main purpose of IoT analytics is to analyze data captured by IoT devices, gain actionable insights, and drive higher throughput.

    For IoT analytics to provide accurate and timely analysis, here’s what is needed:

    • A robust and modern analytics solution to predict results, detect deviations and improve performance.
    • A data management solution that gleans and cleans IoT data before storing it in a database for analysis.
    • A scalable and flexible data storage solution that stores and manages the ever-increasing influx of data from devices.
    • Compelling analytics solution with data visualization capabilities that make it easy to spot trends and take action.
    • A robust reporting engine that delivers actionable intelligence in the form of reports and dashboards.

    How Can You Get it Right?

    Given how important IoT analytics is, to the success of the IoT solution (as well as to the organization), here are some tips on getting it right:

    • Understand the why’s: Before you jump into creating a strategy for IoT analytics, you need to first ask yourself: What do you aim to achieve by using this IoT data? Is it to improve customer service? Is it to reduce failures? Is it to improve safety? Is it to enhance performance? Clearly understanding why you’re collecting the data is important to get the most value of your IoT data.
    • Live on the Edge: To drive greater benefits from IoT analytics, it makes total sense to perform analytics at the Edge – closer to the devices that generate the data. This can help in reducing latency – by running analytics algorithms directly on the devices, as well as in accelerating the decision-making process.
    • Ensure privacy: There’s a lot of sensitive information that IoT devices analyze including customer preferences, GPS data, data from cameras, and more. Ensuring the privacy of this analyzed data is a business prerogative. Make use of distributed ledger technologies like Blockchain to provide decentralized trust across the IoT network, and sure data privacy 24×7.
    • Use efficient data management techniques: For IoT analytics to really triumph, efficient data management is important. Using software libraries like Hadoop for distributed processing of large data sets can allow for high-speed and high-volume data analytics with greater flexibility and cost-efficiency.
    • Leverage the world of AI: In contrast to manually analyzing the massive influx of IoT data, AI can more efficiently and quickly process a wide range of IoT information. To get the most out of IoT analytics, leverage the world of AI, robotics, and Natural Language Processing to spot trends, understand correlations, detect anomalies, identify false positives, and more.
    • Implement an analytics governance framework: With IoT devices dealing with so much of analytics data, there is a pressing need to have controls in place that oversee how the data is being used, and how misuse is prevented. Implementing a governance framework that encompasses auditing devices, updating firmware, software and security controls, disconnecting and deleting data from a stolen or rogue device etc. will go a long way in ensuring widespread success (and adoption) of your IoT solution.

    Drive Meaningful Experiences

    No matter how advanced sensor, mobile, and wireless technologies get, the true business value of IoT lies in analytics.

    While data is an important aspect of the IoT ecosystem, without proper analytics, the mountain of data that is being captured every second is unusable. IoT analytics plays a major role in the success of an IoT device is. So, make sure to invest the right amount of time, money, and effort in building your IoT analytics solution, and extract insights to improve device performance and drive meaningful consumer experiences.

    Our Services

    IoT App Development | Healthcare App Development | Industrial IoT Solutions | Digital Product Development

    Nitin

    Nitin Tappe

    After successful stint in a corporate role, Nitin is back to what he enjoys most – conceptualizing new software solutions to solve business problems. Nitin is a postgraduate from IIT, Mumbai, India and in his 24 years of career, has played key roles in building a desktop as well as enterprise solutions right from idealization to launch which are adopted by many Fortune 500 companies. As a Founder member of Pratiti Technologies, he is committed to applying his management learning as well as the passion for building new solutions to realize your innovation with certainty.

  • Key Areas to Focus on In Your Digital Transformation Journey

    Key Areas to Focus on In Your Digital Transformation Journey

    Digital transformation is making several headways across industries and geographies.

    With the potential to impact organizational outcomes in profound ways, today, almost every company is on the road to digital transformation – or they risk becoming obsolete.

    According to IDC, 85% of enterprise decision-makers say they have a time frame of two years to make significant inroads into digital transformation, or they will fall behind their competitors and suffer financially.

    If you too are looking to adopt and integrate disruptive technologies and fundamentally change how your business operates (and how value is delivered to customers), now is the time to transform digitally.

    Here are key areas to focus on in your digital transformation journey:
    Adopt new tech: The stepping-stone of any digital transformation strategy is the adoption of new technology. Leveraging the myriad benefits modern technologies offer is the best way to improve operational efficiency, enhance customer experience, and fuel innovation. This means getting rid of rigid legacy systems that hamper growth, upgrading/migrating systems to drive more value, making the most of emerging programming languages, and implementing new tools, systems and applications that fuel collaboration and boost efficiency. And just adopting new tech is not enough; you need to constantly train your teams to ensure they are using the technology in the most optimum manner and drive far higher value from your tech investments.

    Innovate through data: Another very critical component of successful digital transformation initiatives is the ability to unearth insight from data. With organizations getting crushed under the weight of data about employees, machines, processes, customers, competition, markets, and regulatory frameworks, innovating through data is a great way to drive enterprise-wide transformation. This includes using technologies like Artificial Intelligence, Machine Learning, and Internet of Things to glean insight from data, and make intelligent, evidence-based decisions. From customer segmentation to predictive maintenance, enrichment of customer touch-points to better inventory management – AI and IoT will pave the way for data-informed cognitive analytics, and be the reason for competitive advantage. It is no surprise then that the IoT market is expected to grow to 5.8 billion endpoints in 2020.

    Break down silos and embrace Agile: Digital transformation also requires you to continuously work in an iterative manner so you can explore new technologies and develop functionalities more rapidly. This means you have to break down silos that hamper efficiency, growth and innovation, so the entire organization is ready for transformation – not just individual business units. It also makes sense to embrace an Agile mindset, so teams can set priorities and design solutions – while constantly focusing on value creation. Driving efforts in building capabilities that empower your teams to develop prototypes and engage with customers is essential to achieve faster to market and be in alignment with the voice of your customers.

    Embrace cloud: For many organizations, success (or failure) is directly proportional to the effectiveness of their IT service delivery environment. Cloud is a key driver of digital transformation and can enable you to reach your digital goals faster. By allocating more IT resources (and staff) to the development and continuous improvement of products, you can drive the transformation that improves the overall customer experience. Cloud offers the scale and speed needed to support changing business priorities – with ease. It allows you to consistently manage your existing applications and achieve higher levels of availability, reliability, and security – while helping you develop, deploy, and deliver software faster.

    Focus on skill transformation: No digital transformation can be successful if you do not have people with the right tech skillset. With typical technology capabilities quickly transforming into specialized skill sets, you need to focus on skill transformation to accelerate time to value. Keep track of trending skills and see how your organization can benefit from those skill sets. Assess the skills of your existing employees, train them, so they can improve upon their skills. Alternatively, hire candidates with skills across data science, automation, DevOps, and more from the market. You can also cater to this emerging need for specialized skill sets by forging strategic partnerships, driving mergers and acquisitions, and setting up Global Centers of Excellence.

    Find the right blend

    The digital transformation fever has taken the entire world under its embrace. With spending expected to reach $2 trillion by 2022, organizations need to do everything they can to drive transformation: adopt new tech, innovate through data, break down silos, embrace the cloud, and focus on skill transformation, among others.

    As you set towards the journey, remember that digital transformation is neither about a pure technology or a pure business transformation; it is about establishing an organizational structure (and culture) that is a perfect amalgamation of business, technology, and people.

    Our Services

    IoT App Development | Digital Twin Software Platforms | Industrial IoT Solutions | Digital Product Development

    Nitin
    Nitin Tappe
    After successful stint in a corporate role, Nitin is back to what he enjoys most – conceptualizing new software solutions to solve business problems. Nitin is a postgraduate from IIT, Mumbai, India and in his 24 years of career, has played key roles in building a desktop as well as enterprise solutions right from idealization to launch which are adopted by many Fortune 500 companies. As a Founder member of Pratiti Technologies, he is committed to applying his management learning as well as the passion for building new solutions to realize your innovation with certainty.

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