The What, Why and How of Web Analytics Testing | Anand Bagmar

What is Web Analytics and why is it important? We'll walk through techniques for manually testing your data and automating the validation process.

Just knowing about Web Analytics is not sufficient for business now. There are new kids in town - IoT and Big Data - two of the most used and well-known buzz words in the software industry! With a creative mindset looking for opportunities to add value, the possibilities for IoT are infinite. With each such opportunity, there's a huge volume of data being generated which, if analysed and used correctly, can feed into creating more opportunities and increased value propositions.

There are 2 types of analysis that one needs to think about:

1. How is the end-user interacting with the product? - This will give some level of understanding into how to re-position and focus on the true value add features for the product.

2. What are the patterns in the data? - With the huge volume of data being generated by the end-user interactions, and the data being captured by all devices in the food-chain of the offering, it is important to identify patterns and find out new product and value opportunities based on these.