#BI TOOLS FOR HEALTHCARE PRO#
#BI TOOLS FOR HEALTHCARE SERIES#

One of the biggest challenges with Business Intelligence has always been organizing large volumes of data so that they are usable within the confines of technology.

#BI TOOLS FOR HEALTHCARE PRO#

Have you been held back by data volume limitations in Power BI? Have Power BI Import Models hit the Pro 1GB and Premium 10GB limitations, while Direct Query Models demand too many resources from your source databases? Power BIвЂ™s new Aggregations feature combined with Composite Models can now help you unlock massive volumes of data for analytics. Successful solution design requires deep healthcare industry expertise along with powerful tools. Add calculation logic such as qualifying visits, LOS calculations, complications, and cohort inclusion/exclusion criteria and the challenges becomes daunting. Numerous reference tables are often required that can also have complex architectures due to ever-changing categorization systems such as DRGs, ICDs, CPTs, and others. Architectural concepts such as Large Type 2 Dimension tables, Many-to-Many Relationships, and Secondary Key Relationships are rare exceptions in most Business Intelligence designs yet are common in Healthcare. Healthcare reporting and analytics often require massive data volumes with tables that are both exceptionally wide and deep. #4 - Combine Azure Synapse and Power BI RLS to Analyze Aggregated Data while Controlling Granular PII (Cl.

#3 вЂ“ Microsoft Azure Information Protection Secures Power BI Data Exports for a Seamless DLP Strategy (Cl. #2 - Control PHI and Sensitive Data Risk for Self-Service BI using Power BI DataFlows and Azure Data Lake. #1 - Unleash Massive Healthcare Data Volumes to Analytics using Power BI Aggregations (This Article)

#BI TOOLS FOR HEALTHCARE SERIES#

This article is the first in a series exploring how Power BI paired with Azure data tools creates a flexible, scale-able, and achievable healthcare analytics architecture: These new capabilities can help healthcare analytics teams achieve more. New capabilities to address these requirements have been added to Power BI for use with powerful databases such as those in Azure. Digital Transformation will leverage massive data volumes to improve both the quality and cost of healthcareвЂ¦doesnвЂ™t that sound easy? Large volumes of data and complex logic have long made healthcare analytics a challenge.

Bi tools for healthcare