Databases Reference
In-Depth Information
Deploying Cloudera allows us to process orders of magnitude more information through our sys-
tems, and that technological capability in combination with Experian's expertise in bringing
together data assets is driving new, real insights into tomorrow's marketing environments.
—Jeff Hassemer, vice president of product strategy, Experian Marketing Services
Case study 2: Streamlining healthcare connectivity with Big Data
Company: Cloudera
Customer: Healthcare Client
Program: Streamlining healthcare connectivity with Big Data
Industry: Healthcare
Business applications:
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Complex processing and archiving of claims and remittance data.
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Storage and analysis of transactional log data.
Hadoop impact:
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Providers collect payment faster through expedited messaging with payers.
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Industry standard hardware is ten times less expensive than alternative technologies while
enabling analytics on stored data.
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Simple deployment, minimal ongoing maintenance.
Company overview
The connectivity and information technology subsidiary of a major pharmaceutical company was cre-
ated to simplify how the business of healthcare is managed while making the delivery of care safer
and more efficient. As more and more of the U.S. healthcare system goes electronic, this organization
meets challenges and opportunities through an open network that supports future growth via interop-
erability among organizations, systems, and solutions.
Business challenges
With regulations such as the Health Insurance Portability and Accountability Act of 1996 (HIPAA),
healthcare organizations are required to store healthcare data for extended periods of time. This health
IT company instituted a policy of saving seven years' historical claims and remit data, but its in-
house database systems had trouble meeting the data retention requirement while processing millions
of claims every day.
A software engineer at the company explained, “All of our systems were maxed out. We were
constantly having database issues. It was just too much data for what they were meant to handle.
They were overworked and overloaded, and it started to cause problems with all of our real-time pro-
duction processing.”
Further, the organization sought a solution that would allow users to do more than just store data.
The manager of software development at the company explained, “In today's data-driven world, data
really is this huge asset. We wondered, 'What framework, what platform will allow us to optimize the
data that we have?' ”
