Health & Life Sciences
Deploying high performance analytics with IBM Business Analytics and Netezza
Read the Case Study
Healthcare
Leading healthcare organizations use IBM® Netezza® data warehouse appliances
to generate insight, improve care, decrease SAS user frustration, and increase
speed in areas such as, EHR analysis, clinical analytics and benchmarking, fraud
analytics and detection, sales and marketing segmentation, combinatorial genomic
analysis, and pharmacoepidemiology.
IBM Netezza data warehouse appliances are fast, making SAS 10X-100X faster;
easy to use, there's no complex database administrator work like tuning
and indexing to slow down IT; and have a low cost of ownership. Our appliances
are able to handle the tens of terabytes involved in drug safety and effectiveness
informatics, along with the advanced analytics.
IBM Netezza data warehouse appliances in pharmacoepidemiology
The IBM Netezza data warehouse appliance has been enhanced to provide an end-to-end
workbench to accelerate your studies, and to be used for Health Economics and
Outcomes Research, and Pharmacoepidemiology. This IBM Netezza data warehouse
appliance for health outcomes analytics comes with a constantly growing toolset
for high-performance outcomes analytics, including:
- SAS acceleration module
- Easy-to-use cohort builder for complex patient selection
- OMOP and US public data models
- Cognos visualization toolOMOP and Harvard Medical School pharmacoeconomic
methods
Read the following case study of how Dr Sebastian Schneeweiss, of the faculty
at the of Harvard Medical School at the Brigham and Women's Hospital Division
of Pharmacoepidemiology and Pharmacoeconomics, uses IBM Netezza data warehouse
appliances to develop methods for pharmacoepidemiology.
Case Study: Harvard Medical School
