Data-Driven Analytics: Creating Reusable Data Models

May 29, 2024 3:00 PM ET (NYC)

As the emphasis on data-driven solutions intensifies, so does the need for comprehensive and flexible access to the critical data that’s going to drive change. Proven data modeling techniques play a pivotal role in both short-term success and long-term scalability to meet the broad needs of an organization’s reporting objectives. And while an organization’s first pass at data modeling may initially work, without careful planning and a proven design strategy, poorly modeled data eventually drives inefficiency and creates roadblocks.

In this webinar, we’ll unravel the intricacies of best-practice data modeling and how it supports data blending, in-depth correlations, and robust analytics capability. We’ll discuss the advantages of proper structuring for reuse and integration and the predictable difficulties organizations face using inefficient data modeling. Come learn practical ways to leverage proven data models and how to plan an incremental approach that drives best practice long-term planning as a critical part of your data-driven strategy.

What You’ll Learn:
● The positive impact properly modeled data makes on efficiency, accuracy, and long-term objectives
● A best practice incremental approach to building a data warehouse, ensuring adaptability and flexibility as business needs evolve
● The expected difficulties and costs associated with inadequate data design and how to avoid them during strategic transitions

Who Should Attend:
Healthcare executives, practice managers, revenue cycle professionals, and those eager to expose the untapped power of their data analytics.

Join us on May 29 at 3:00 PM Eastern time for this webinar on Creating Reusable Data Models.

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