Parallel Data Testing: The Next Frontier of Quality AssuranceAngsuman Dutta & Tim O'Hara, Infogix
About the Topic
Enterprises routinely convert, move and migrate data from one system to another system. Despite significant investment in technologies and efforts to ensure the quality of data conversions, migration and movement, the trustworthiness of information, at best, remains questionable. While there are a number of tools available for automated testing of the functional and performance aspect of software systems and processes, there are few options available to ensure the quality of the data itself. With appropriate information controls/checks, data testing can be a value added activity for quality assurance functions. Presenters will share a testing framework for ensuring the accuracy, consistency and reliability of the data. This framework addresses the types of checks (e.g. information verification, information balancing, information reconciliation, information reasonability testing etc.) required to prevent and detect data errors during the testing process.
About the Speakers
Angsuman Dutta has assisted numerous industry leading enterprises to define data testing requirements for their system conversion and migration projects. In addition, he has led projects to define operational data (such as ETL processes) testing criteria and processes. Dutta has a MS in Computer Science from the Illinois Institute of Technology and a MBA in Analytical Finance from the University of Chicago.
Tim O’Hara joined Infogix in 1997. During this time, Tim has assisted numerous Financial Service, Insurance, Retail, and Telecommunications companies with information errors with information controls. Tim has earned a B.S. in Accounting from the University of Scranton. Prior to Infogix, Tim spent several years in audit functions at Aetna Health Plans and The Board of Pensions of the Presbyterian Church.
