
Data and Analytics in Retail: Navigating Walmart's Data Landscape With Amit Shivpuja, Director of Data Enablement at Walmart
In this episode, we dive deep into the world of data and analytics in the retail industry with Amit Shivpuja, Director of Data Enablement at Walmart. Amit shares valuable insights and experiences from his role, shedding light on how Walmart leverages data to enhance decision-making, drive efficiency, and foster a data-driven culture.
Throughout the conversation, Amit discusses Walmart's data governance framework, emphasizing the critical role of data quality, consistency, and collaboration across functions. He also explores the evolving landscape of data analytics and the impact of automation, including generative AI, on streamlining data-related processes.
Listeners will gain a comprehensive understanding of how a retail giant like Walmart manages its vast data resources, fosters cross-functional collaboration, and harnesses the potential of data to drive business success. Whether you're a data enthusiast, business leader, or simply curious about the inner workings of a retail data powerhouse, this episode offers valuable insights into the world of data and analytics at Walmart.
Sponsor
The Evolving the Enterprise podcast is brought to you by SnapLogic, the world’s first generative integration platform for faster, easier digital transformation. Whether you are automating business processes, democratizing data, or delivering digital products and services, SnapLogic enables you to simplify your technology stack and take your enterprise further. Join the Generative Integration movement at snaplogic.com.
Additional Resources
- Follow Dayle Hall on LinkedIn
- Follow Amit Shivpuja on LinkedIn
- Learn about the Evolving the Enterprise Virtual Summit
- Turn ideas into production-ready workflows and data pipelines with Generative Integration
- Back to basics: What is iPaaS? | What is Data Integration? | What is Application Integration?
Information
- Show
- FrequencyEvery two weeks
- Published1 February 2024 at 14:00 UTC
- Length42 min
- Season3
- Episode3
- RatingClean