London software testing news UK

Automate testing for data and report integrity

Posted in Software testing,testing tool by testing in London on July 22, 2007

From Thomas Net

MicroStrategy a leading worldwide provider of business intelligence (BI) software, today announced its plans to launch MicroStrategy Integrity Manager(TM), a new product that tests the accuracy of BI applications by validating data and report integrity. MicroStrategy Integrity Manager automatically compares and verifies the consistency of reports as changes are made to the BI ecosystem, and then highlights issues and discrepancies to monitor the overall reliability of the BI content used by business decision makers. This product will be introduced tomorrow at the MicroStrategy Symposium in London.

Companies typically monitor the integrity of their BI data through manual data validation. However, despite the increasing importance of BI applications, BI support teams often lack the necessary resources to ensure that data or software integrity problems have not been unexpectedly introduced during data loads or software upgrades. Additionally, in self-service BI systems where end users create their own reports, many companies fail to perform validation testing on the large number of user generated reports. MicroStrategy Integrity Manager automatically reviews the integrity of data across an organization’s BI system, verifying that BI reports and analyses are based on reliable data.

MicroStrategy Integrity Manager reduces the need for resource-intensive manual testing by comparing versions of reports after data updates and throughout the BI development cycle, thereby automating report regression testing. Data inconsistencies can be captured much sooner in the development cycle, saving time in report testing, end user support, and issue resolution. With MicroStrategy Integrity Manager, companies can increase the scope, effectiveness, and accuracy of their data validation efforts, and free developers to focus on content creation rather than manual testing.

Even minor changes in the BI ecosystem may impact data accuracy and lead to inconsistencies across versions of BI reports. Common types of BI ecosystem changes that require report and data validation include:

  • Software upgrades
  • BI project migrations
  • Data warehouse ETL processes
  • User profile modifications
  • Database optimisations

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