Thought Leaders in Big Data: Sanjay Vyas, CEO of Diyotta (Part 1)

More discussion on the integration sphere of Big Data.

Sramana Mitra: Let’s start by introducing our audience to yourself as well as Diyotta.

Sanjay Vyas: I should probably call myself not just an entrepreneur but more as a data entrepreneur. Right from the start of my career, I have been involved in building data ecosystems and architecture around data. I am fascinated by analytics and business intelligence.

In my experience, I have seen few people who really connect with data well. I consider myself as one of those privileged ones that connect with data well. I always wanted to start my own company and do something that can contribute to society and the industry that I am in. I want to do this not just by working at a 9 to 5 job. I had a lot of aspirations around that.

I started Diyotta along with two other founders in 2011. Diyotta is my first startup experience. We had to go through a lot of experiences that were new to us. The process from thinking about the name, thinking about the customers, and everything was fascinating. The D in Diyotta stands for Data. The I stands for integration, and Yotta is the largest decimal unit. We got inspired by how Google came up with its name.

I remember one evening, I was thinking about what name to give to the company. A conundrum started in my mind about data and how data will be going through its own journey. Right now, we are calling it Big Data. Eventually, I don’t know what Big Data will be. I came up with something that depicts the largest extent possible of where we can go and then adding that to the name.

That Diyotta came into existence. That is what Diyotta is all about. It’s about collecting and managing a large data ecosystem for enterprise companies. We looked at the struggles that enterprise companies go through to collect, manage, and analyze big data and then bring them to the analytical zone. That is where we saw the opportunity. 

Sramana Mitra: Great. What customer problem have you gone after in this process?

Sanjay Vyas: When you look at customer problems, everybody in the early start of the decade wanted to be data-driven. We are selling in the B2B space. We were a B2B solution. When enterprises try to be data-driven, the existing legacy stuff is undistributed and has different sales, marketing, support, service, and product inventory systems.

Everything for any industry was undistributed and had disparate systems. Collecting and consolidating that was a big challenge. The tools that they were using were outdated. Also, the explosion of social media and all the new types of data that they are trying to collect and analyze made the problem multifold. We created an architecture that would give them the ability to go across the board to release the bottleneck from an architecture perspective because you were dealing with large volumes of data.

How can you efficiently scale, collect those data points, bring them to an analytical zone, and back them up in the cloud and their premise systems? Those are large databases and repositories that are very well equipped to analyze large amounts of data. We’re trying to create the pipeline architecture so that they can get the data and then let the process within those large systems.

We don’t bottleneck ourselves to need the processor, a single point of processor, or a single point of bottleneck. That is how we built a distributed data architecture where you could manage the analytics around all the different new and old data points.

This segment is part 1 in the series : Thought Leaders in Big Data: Sanjay Vyas, CEO of Diyotta
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