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Today, organizations are becoming more data-driven by using their data to build new products, stay ahead of the competition, and provide better customer experiences. As a result, data management and processing it for various stakeholders need to be fast, automated, and scalable.

Organizations currently collect and process the data in a manner that allows them to make the decision making the process simpler, helping them gaze the past, manage the present, and predict the future. Data warehouse supports analysis of operational system data for BI while data lakes support newer use cases that leverage data for machine learning, predictions, and real-time analysis. The question is: does your business need both and why?

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This session will have senior data and IT leaders of few leading organisations who would be sharing their thoughts around:


• Best strategies to manage data at the edge to improve business agility

• Build data driven revenue streams, and create compelling experiences that delight customers and employees.

• Key areas of cost optimization to drive maximum performance for data projects for the lowest TCO

• Best strategies to optimize data processing costs


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