BI and Data Warehouse Testing

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BI and Data Warehouse Testing

Learn about a new automated software testing platform that includes business intelligence (BI) and data warehouse (DW) testing.

· Big Data Zone ·
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New ETL and BI testing help enterprises protect data integrity — improving data quality and governance.

It was great speaking with Dr. Gerd Weishaar, V.P. of Product Management at Tricentis about an expansion of its automated software testing platform, Tricentis Tosca.

Tricentis Tosca 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 fully automated lifecycle approach to BI and DW testing, ensuring greater data integrity.

Businesses trust 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 a significant impact that ripples through the organization. Not only can companies make decisions on faulty data but they can also run afoul of industry regulations — creating millions of dollars of potential exposure and damaging corporate reputation. Tricentis provides deep visibility into the most complex distributed and heterogeneous BI and DW environments reducing business risk.

“We are on the verge of a data explosion which requires the ability to makes faster decisions with a broader array of data,” said Wolfgang Platz, Founder and CPO of Tricentis. “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. “

Today, data integrity issues often go undetected unless a domain expert or data analyst discovers a discrepancy in a report. At this late stage, however, it’s difficult and time-consuming to unravel the problem, find its source, and remediate the problem. Without a data testing strategy or critical infrastructure-wide visibility into risk areas (including the BI and DW layers), companies remain exposed to preventable risks.   

The new Tricentis BI/DW testing capability helps enterprises:

  • Identify data acquisition (ETL) errors.
  • Reduce test creation and maintenance time.
  • Expose defects earlier—when they’re faster and easier to resolve.
  • Eliminate delays from manual testing.
  • Comply with regulatory requirements (for example, BCBS 239, Basel III, SOX, etc.).
  • Reduce the “testing burden” on business users.
big data ,data warehousing ,tricentis

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