As the demand for actionable insights from data continues to grow, organizations must prioritize establishing a solid foundation for their analytics related to applications. The critical first steps companies need to take are cutting back and streamlining their various components and features. By creating standardized processes and scalable tools, organizations can prepare their data landscape to leverage the full potential of AI and analytics.
Join this this session, to learn more about:
- How to create data models and schemas that support scalability
- Which foundations should be laid out before building data factories
- What are the correlations and insights AI can find if the data is thoroughly prepared
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