Assessing Data Quality of Externally Acquired Information
Mehmet
Orun
Principal Data Architect, Enterprise Architecture
Genentech, Inc.
Thursday
2:15pm - 3:15pm
Conference Session
Level: Intermediate
Many industries rely on data obtained from partners or 3rd party vendors to support or augment their business intelligence content. This is especially true for the life sciences industry or and sales and marketing group that may not have access to product consumption information. A key challenge in such efforts has been the ability to timely and effectively assess the quality of externally acquired data, and present both the content and content quality to decision makers.
In this case study, the presenters will discuss how an internal, business rule based application was designed to solve this business problem and how it is used to respond to file/data errors, assess data providers, and inform business users on quality of the content.
Mehmet Orun is responsible for data and metadata solution strategies and has designed and implemented a number of data integration, business intelligence, and business application solutions. Mehmet Orun was the original proposer and designer of the tool used to assess the externally acquired data as a consultant and now leads, among a number of other areas, Genentech’s corporate data quality services initiative.