One of the nation’s largest not-for-profit health plans, this company has over 50 years of history in serving its clients and now serves nearly nine million members. The organization is dedicated to delivering health care in the most efficient and effective manner possible by constantly involving itself in research and innovation.
With an enterprise IT environment containing 4,000 applications over eight distinct business regions, each generating massive quantities of data, the company’s overall data store is one of the largest in the world. Managing and ensuring the quality of this data was a high priority for the company.
Like any business, the company ultimately needed clear data that uniquely and consistently represented each business transaction that occurred at the company. The company’s goals were to enforce custom data quality rules and to measure the quality of data over time. The company also sought a solution that would allow business users to access and have control over data quality reports across the enterprise. Therefore, it required a highly scalable, highly distributed data quality tool that could perform all aspects of data profiling, data quality, master data management and data monitoring.
After evaluating products and solutions from multiple vendors, the company selected DataFlux to meet its needs.
The award-winning DataFlux data quality and data integration platform offers a unique set of workflow tools built on an industry-leading technology platform that encompasses every facet of the data management process. Through its intuitive interface, DataFlux gives business users powerful data improvement capabilities and complete control over enterprise data.
The company’s data stewards, business analysts and data owners are now able to build complex data improvement workflows quickly and logically. DataFlux technology then allows those jobs to be implemented, in batch or real time, transforming data quality projects into ongoing data governance policies.
The company’s goal in using DataFlux technology was to take the contents from multiple tables – each holding up to 200 million records – across the enterprise and distill it into meaningful, useful data. By integrating DataFlux technology into its daily, weekly and monthly ETL routines the company was able to transform this disparate data into high-quality, managed and useful information to drive business intelligence.
The company’s initial implementation of DataFlux technology was centered on customer data, particularly patient healthcare records and care delivery. It utilized DataFlux to provide the real-time quality, accuracy and availability of this data, as well as rationalizing and de-duplicating data across its multiple data regions.
Moving forward, the company intends to extend DataFlux’s master data management capabilities as the basis of a real-time enterprise data governance program.