Data

As a sports technology company, which is user first, we conduct hundreds of experiments to offer our users world-class experiences. However, conducting clean experiments isn’t always feasible. Given this challenge, and to stay ahead of the curve, we built our very own AI-based Causal Inference Platform, which leverages existing data to determine causal impact. We’ve leveraged Causal Inference to drive critical business decisions. Continue to read this blog to understand Dream11’s AI & data-centric journey.

With Data Beam, users are now able to setup data pipelines on their own in less than 10 min without DE intervention Data Beam not just saves work hours for data engineers but also reduces the setup time drastically. It empowers our analysts, backend developers and service owners to create their own data pipelines in just a few clicks. We’re working on adding more pipelines to Data Beam including MySQL to IceBerg, MySQL to MySQL, etc. to make this product the ideal data integration stack.

With millions of Indian sports fans across our Dream Sports ecosystem, it takes a highly data-driven team to understand what is required for great fan engagement and ultimately making sports better through our various brands. At Dream11 too, we have been on a constant mission to provide amazing end-to-end user experiences to over 130 million sports fans with new product features and offerings that are shipped regularly.

At Dream11, we have seen tremendous growth in terms of our user base to become the world’s largest fantasy sports platform. Our users can demonstrate their knowledge and skills in sports and connect deeper with the sport they love. With an ever-growing user base that currently stands at over 120 million, we work meticulously on our data platform to handle the sheer scale of generated data every second. Our goal is to build self-serve data products, be a data-obsessed team, and promote the concept of ‘data as a service within the organisation.

Big Data is much more than simply a matter of size — it presents an opportunity to discover key insights and emerging trends in data, makes businesses more agile, board room decisions better informed, and answer questions that have previously been considered unanswerable. With all the hype around big data, insightful data is eventually most important to business.