Loading...
You are here:  Home  >  Data Education  >  BI / Data Science News, Articles, & Education  >  BI / Data Science News  >  Current Article

Tricentis Adds BI and Data Warehouse Testing to Automated Software Testing Platform

By   /  July 5, 2017  /  No Comments

by Angela Guess

According to a recent press release, “Tricentis today announced a major expansion of its industry-leading automated software testing platform, Tricentis Tosca. Tricentis Tosca now incorporates a new approach for testing two critical components of enterprise infrastructure: Business Intelligence (BI) and Data Warehouses (DW). Because data can be compromised when it is created, integrated, moved, or transformed, Tricentis Tosca delivers a full lifecycle approach to BI and DW testing — fostering unprecedented data integrity.”

The release goes on, “Businesses trust their BI tools to drive strategy and process optimization decisions, but the power of those tools depends upon a complex infrastructure accurately collecting and transforming critical data sources. The slightest data integrity error can have catastrophic impacts that ripple throughout the organization. Not only can companies make decisions on faulty data, but they can run afoul of industry regulations — creating millions of dollars of potential exposure and damaging corporate reputation. Because Tricentis provides deep visibility into the most complex distributed and heterogeneous Business Intelligence and Data Warehousing environments, such business risks are significantly diminished if not eliminated.”

Wolfgang Platz, Founder and CPO of Tricentis, commented, “We are on the verge of a data explosion which requires the ability to make faster decisions with a broader array of data… If you don’t have data integrity under control now, there will be severe impacts as the amount of data increases significantly. Exacerbating the problem, the prevailing method of protecting data integrity is primarily visual validation. This less-than-optimal approach to ensuring data integrity exposes the organization to significant data quality and compliance risks.”

Read more at Marketwired.

Photo credit: Tricentis

You might also like...

Data Governance Best Practices: Five Industry Experts Discuss Their Viewpoints

Read More →