Discover the benefits of clarity, accessibility, and strategic integration for enhanced data reuse in this informative blog.
Data product domains help organizations transform and understand their data flows. Unlike the traditional reliance on a central Business Intelligence (BI) team as the sole data provider, embracing decentralized data product domains becomes crucial for realizing efficient data reuse. While the BI team may initially lead this shift, it signifies a shift toward a more adaptable and effective data ecosystem. Establishing decentralized data product domains brings the need for clarity and consistent quality. It ensures that healthcare professionals across various departments are well-informed about the data products available, promoting a culture of accessibility and reuse.
This blog covers how the implementation of decentralized data product domains can facilitate clarity, accessibility, and strategic integration for enhanced data reuse.
Looking at a healthcare team requesting specific data, consider a scenario where strategic decision-makers seize the opportunity to design dynamic data products tailored to diverse healthcare domains. However, implementing this approach for every data product demands a thoughtful strategy. It's pivotal to recognize that expecting teams to embrace this strategy overnight fully is impractical. Successful implementation of a data reuse strategy in healthcare requires a delicate balance— avoiding undue burden on professionals by pinpointing strategic integration points.
Our discussion will provide actionable insights, offering a seamless transition to a more efficient data reuse approach.
When evaluating the most suitable path for specific requirements and goals, considerations such as dataset preparation, Direct Query, aggregations, imports, data flows, and datamarts are essential. Delving into questions about the purpose of the dataset, scenarios requiring Direct Query for "big data" or real-time refreshes, acceptance of refresh delays for aggregated values, and the need for ETL work through data flows or datamarts can guide organizations in determining the most effective approach.
In our next blog, our focus shifts to the effective implementation of our conceptual model within Power BI, tailored for healthcare applications. The question to be addressed is: How can we translate this relatively abstract concept into practical applications within real-world healthcare scenarios?
Access practical tips and valuable insights by downloading the series today.
Learn how a robust data certification program can ensure accuracy, consistency, completeness, provenance, & regulatory compliance in healthcare...
By creating data that is easily accessible and reusable, we can unlock the full potential of data and use it to improve the lives of patients.
Learn how business intelligence supports better healthcare decisions through providing data on compliance, safety, finance and more!