The migration from legacy SAS systems to modern cloud-native platforms, such as Databricks, represents a technological upgrade that embodies a strategic transformation, enabling enterprises to navigate the complexities of global supply chains with unprecedented agility and intelligence.

The migration is a fundamental shift from traditional data warehouse architectures to lake-house platforms, combining the best features of data lakes and data warehouses and providing several critical advantages for supply chain applications.

Explore Infogain’s five-step SAS to Databricks migration process using a strategic framework in this whitepaper.

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ABOUT THE AUTHORS

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Sriraj Srinivasan, PhDSenior Vice President - Head of Data and AI, Infogain

Sriraj Srinivasan has 22+ years of experience leading customer innovation and growth by
enabling Data and AI/Gen AI solutions, driving value transformation, and executing
M&As across technology, retail, CPG, manufacturing and healthcare industry verticals.

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Chetan DeshpandeVP, Head of Sales & GTM - Data & AI Studio, Infogain

Chetan Deshpande is the Vice President and Head of Sales for the Data & AI studio at
Infogain, leading new logo acquisition and growth, closely partnering with Databricks
and Google Cloud (strategic partners) for Data & AI Studio.
He brings over 20+ years of industry and consulting experience working with Data, AI
and business leaders to drive AI-led business transformation to unlock business value.

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