Tag: Data Analytics

  • Redefining “Responsive” Through Real-Time Engagement Tracking

    Redefining “Responsive” Through Real-Time Engagement Tracking

    We are very excited about how advancements in technology is responsive to customer experience to the next level. Here is our take on what can – and will – be done in the next couple of years. Businesses are constantly thinking of ways to provide a better experience to their customers. The broader goal, of course, is to engage customers – and keep them engaged. In a macro sense, engagement means stickiness, loyalty and advocacy – which translate into repeat business and even referrals. In a micro sense, engagement is about starting a conversation with the customer, listening deeply to the verbal as well as non-verbal responses, and drawing the right insights into what the real needs and wants are. Chinese gem traders were known to be sensitive even to buyers’ pupil dilation!

    In the digital world however, while the transaction part of many processes has been automated, the relationship part is often diluted. A case in point is the common frustration with never-ending IVR menus – while the caller would be so much more comfortable talking to a real person. Similarly, digital strategists must bear in mind that in the consumer space, shopping is not just a commercial process but equally a social experience. Breakthroughs in emotion detection technologies are now letting us correct this irony to an extent. Just like we can read body language, these technologies allow software to now understand whether the customer is happy, confused, interested and so on. Consider how such advances can enhance responsiveness in virtual (online) interactions as well as in real ones —

    Education:  If a student in an online course is confused, the software can step back and spend more time on elementary concepts. If a student is tired, it could announce a break. If bored, it could take a real problem rather than continue with dry theory. Brick-and-mortar schools could also use such technologies to gauge the overall engagement level of a class.

    Corporate: Decades ago, time and motion studies started helping predict and improve productivity in manufacturing industries. More recently, special software products are letting enterprises understand how their employees are spending time in knowledge industries. However, this is of limited use, since a couple of hours of “being in the zone” produce more than 8 hours of disengaged work. So it would be much more useful to use technology that tracks engagement.

    Shopping: It is well known that online advertising hooks into browsing behavior, particularly on e-commerce sites. However, such advertising can be targeted even better, by distinguishing between casual online window shopping, and serious pre-shopping analysis. Going ahead, it might even be possible to adjust promotions accordingly – a la Chinese

    Wellness: Awareness is usually the first and often the most difficult step in stress and anger management. What if our smart-phone becomes a silent observer who gently nudges us when we’re starting to stress. Similarly, it can highlight chronic boredom, which is often a precursor of depression.

    We at Pratiti are excited about these new possibilities to humanize technology, and thus take engagement and experience to the next level. Let us know what you think.

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    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.

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