ERP Modernization, Financial Services, Microsoft Dynamics 365
Optimize Data Retrieval in Dynamics 365 F&O
Data is at the core of every strategic decision, and Dynamics 365 F&O offers a strong foundation for building a responsive, insight-driven enterprise. With the right data retrieval framework, organizations can unlock faster reporting, better visibility, and more reliable insights across finance, operations, and leadership teams. In fact, those that strengthen their data retrieval approach often see 3–5 times higher ROI on analytics investments. This CIO-focused white paper explains how you can do the same, and how a well-designed architecture transforms Dynamics 365 F&O into a high-performance engine for enterprise intelligence.
What you will learn?
- Why data retrieval—not reporting tools—is the hidden bottleneck in Dynamics 365 F&O performance
- How the proper retrieval method can reduce reporting cycle times by up to 40%
- The differences between Entity Store, BYOD, Synapse Link, and Microsoft Fabric
- Real-world results: reduced month-end close times, better inventory accuracy, stronger compliance
- A step-by-step framework to choose and implement the optimal retrieval strategy
- How to prepare for AI-driven analytics, governance automation, and Fabric-centric architectures
Who this is for?
- CIOs and CTOs who are responsible for enterprise data strategy.
- IT Directors and F&O platform owners modernizing their analytics landscape.
- Data & BI leaders working to improve performance, governance, and real-time reporting.
- Organizations struggling with slow reports, inconsistent data, or complex integrations.
Why this whitepaper matters?
- Gain a clear understanding of how your current D365 F&O architecture may be limiting analytics performance.
- Learn the strengths and trade-offs of every major data retrieval method.
- Learn how to align people, processes, governance, and cloud architecture for stronger outcomes.
- Discover how top companies achieved faster reporting, deeper insights, and multimillion-dollar savings.
- Prepare your analytics ecosystem for the next wave: Fabric, AI, automation, and real-time systems.