We Privacy Protect Big Data!
Enterprise data used for analytics is scattered in multiple places across the enterprise. Collecting distributed data in one place is slow and expensive because data is structured differently in different applications and database systems and when related to healthcare and finances it is subject to stringent safeguards and privacy regulations.
AgeTak has developed ARC — a cross-border middleware technology that enables integrating distributed data while maintaining its privacy. ARC sits between databases and the applications these sources feed to make it simple to combine data from disparate sources, dynamically mask data for preserving its privacy and let data owners specify who can use their data for what purpose.
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Who is using ARC today?
Highlight use case: A SaaS reporting platform offered by one of the largest healthcare organizations in the US helps its business customers figure out where they are spending their healthcare dollars and how their expenditure compares with the industry standard.
How did AgeTak help them?
This organization leveraged ARC technology to gather claims data from multiple sources while preserving privacy. This organization was able to automate repetitive and frequent ETL processes that before ARC came in the picture represented the greatest bottleneck in the workflow of integrating new data for visualization in the SaaS platform. The ability to dynamically mask sensitive fields such as social security number without having to code it in the front-end web application or having to store transformed data made the automation simple and fast.
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Highlight use case: A healthcare analytics platform operated by one of the largest healthcare organizations in the US that integrates claims data from multiple insurance carriers helps analysts answer ad-hoc research questions using this integrated data to identify effective treatments.
How did AgeTak help them?
This organization leveraged ARC technology to provision healthcare data from sources that are distributed across organizational boundaries for a Big Data store that feeds a web portal serving comparative effectiveness data analysts. The ability of data owners to automate access control and privacy policy for the data that leaves their organization using ARC made the cross-border data sharing tractable. The ability to query multiple sources as simply as a single database without coding complicated ETL processes made the platform significantly more powerful for ad-hoc analysis.
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