A data lake is a storage repository that holds vast amounts of raw data, for easy access and on-demand analysis. This data is stored in its native format and is available when needed. Data lakes unlock tremendous business value in healthcare by enabling a responsive fail fast approach to forward looking analytics and insight generation.
To fully capture the tremendous value of using big data in healthcare, organizations need nimble and flexible data architectures able to liberate data that could otherwise remain locked within legacy technologies and organizational processes. While healthcare opens up to benefit from big data it can mitigating key challenges, other industries have noted, that could comprise the ROI.
A common challenge and very acute within the healthcare industry is the disparate number of data sources required to develop a central data repository. A recent survey conducted by the Harvard Business Review estimates that a typical healthcare organization will have a minimum of five data and typically more than 15 data sources. Many times, this abundance of data ingested from these many sources improperly leads to a data swamp.
We partner with healthcare organizations to utilize Azure data lake technology in their day-to-day operations. Our goal is to ensure, with our healthcare data ingestion solution, that your data lake stays healthy and does not turn to a swamp.