Anand Jain, Sunil Thomas, and Suresh Kondamudi were unanimous on one thing: high quality user experience. Years of experience had taught the trio that user experience could be achieved only when an app was useful, relevant, and timely. This meant an app that "understands the user", and is able to show the right content to the right user, on the right channel, and at the right time. This necessitated a foundation built on data. "So, the three of us left our corporate careers and decided to dedicate a year to start CleverTap," Sunil says.

At CleverTap, we capture 4 billion transactions per day. Taking that data and personalizing it is where the trick lies. We are building this technology (and making it available) to digital businesses. We don't segment data manually, but the platform ingests data and we leverage AI/ML to get this done. Then we look at how to generate insights of what works and what doesn't.

Football season is finally back, and that 75" HD flat screen you've had your eye on for ages is on sale. You've entered your payment details and are all ready to hit "Complete checkout"… but then you notice the delivery options. With order processing time, will your new TV arrive before the kickoff game? You spot a chat icon in the corner of the screen and click to ask about your potential delivery window. In just a few minutes, you find out the TV will definitely arrive in time, with no extra rush shipping fees. You place the order and start daydreaming of taking in all that pulse-pounding gridiron action in stunning HD.

This is a guest repost by Jacob Joseph from CleverTap. Basically, Cartesian coordinate system uses a grid of straight lines while Polar coordinate system uses a grid of circles to represent data. Let's now look at a few examples where with the appropriate use of the systems discussed above, we will able to visualize different aspects of the data. The standard graphic visualization for a categorical variable is bar charts. Bar charts are useful if you are dealing with a low number of categories within a variable.