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Speaker "Indrasis Mondal" Details Back

 

Topic

Developing Self-serve Big Data Analytics Platform to Democratize Data

Abstract

Data is one of most powerful assets for companies today and a key driver for innovation, product development and business efficiency. But to harness the most out of that powerful assets it is essential that everyone in the organization have access to the data without going through lengthy IT process. Businesses today need to build-measure-learn-pivot quickly in order to be successful in highly competitive market place which is why every organization should focus on building strategy and capabilities to truly democratize its diverse and large enterprise data. In this presentation Indrasis will walk through how Getty Images have developed an effective data democratization strategy and used big data tools and technologies to develop a self-serve data analytics platform to harness and analyzes its diverse and complex data.
 

Profile

Indrasis is currently working at DocuSign as a Sr. Director where he is focusing on building the data science, product insights, and experimentation functions, practices, and capabilities to enable a culture of Data-Driven product development. Before DocuSign, Indrasis was at Hulu where he led a global team of engineers, architects, product managers, data scientists, and analysts to develop Data Products and Data Solutions across the organization. Prior to Hulu, Indrasis worked at Getty Images where he led the data product and engineering teams and helped develop Getty's big data strategy and platform to enable data democratization, data monetization, and self-service analytics capabilities. A passionate enthusiast of building culture and products to drive data-driven decision making, Indrasis has had years of experience in leading both technology and product teams around big data, data science, and machine learning. Indrasis holds an Executive MBA from Seattle University's Albers School of Business and Economics, and an MS in EE with a concentration in statistical signal processing from Illinois Institute of Technology, Chicago.