As complication is developing in IT Industry regarding data warehouse and business intelligence testing, QA holds the higher stakes in assisting business to settle on wise and made more wise choices. The quality of a Business Intelligence arrangement is just in the same class as the quality of the DW it gives and the estimation of discoveries it conveys.
Historical data is turning into a key apparatus for basic leadership at Data Warehouse & Business Intelligence Projects of all levels. With beginning data, most associations are putting resources into building a powerful data warehouse utilizing most latest tools. Although, testing the data precision, execution and security ends up plainly complex and needs an extensive way to guarantee the achievement of your DW and BI usage.
Inappropriate data warehouse and business intelligence testing can lead to:
- Increase in pricing related to the late detection of software bugs.
- Extra expenses of utilizing incorrect data to settle on basic business choices.
- Business important data loss.
- Loss of trust in big business data and detailing data
- Testing of Data Warehouse and Business Intelligence arrangement guarantees the data precision, reporting productivity and data security.
The appropriate business intelligence testing methods and data warehouse testing strategy assists the clients in implementing testing solutions with more confidence. The Testers uses a data warehouse automation testing strategy to guarantees the correct and valid data are in the framework and these data satisfy business necessities.
DW/BI testing is splits into various phases given below:
Testing data warehouse/ETL testing:
In this process the testers confirms that data is properly moved from a source to the objective and the change rules have been properly applied on data of course.
Business intelligence reports testing:
This is the final report that includes the arranging/ verification of drilling and export elements of the reports. As well incorporate usability testing of various data sets such as distinctive districts, time-frames etc.
Load and Performance testing:
Approve the execution and versatility of the framework under various loads, the likelihood to store historical data for quite a long while.
Data warehouse and business intelligence testing concentrate on testing complex business guidelines and change in manufacturing utilizing ETL rationale. We test pattern changes, data respectability and change rationales over all phases of data procurement, ETL, OLAP and detailing utilizing the appropriate data warehouse testing concepts like Data Differential Framework and File Differential framework.
TestOrigen provides automated data warehouse testing and business intelligence test automation solutions that run from understanding the business needs and with the justification of data warehouse automation testing tools for report generation and data management. We understand data warehouse automation testing strategy as well as business intelligence testing strategy that help us in designing and developing the Data Warehouse/Data Mart and additionally test them or implement in production.