Businesses trust their Data Integrity tools to drive strategy and process optimization decisions, but the power of those tools depends on a complex infrastructure accurately collecting and transforming critical data sources. The slightest data integrity error can have catastrophic impacts that ripple throughout the organization. Inaccurate data quality not only leads to sub-optimal decisions; it also opens the door to regulatory risks.
Data integrity issues cost organizations $15M annually, on average (Gartner) and $3.1T overall is wasted finding and fixing data issues each year (HBR). Stop these data issues in their tracks—with an automated, integrated process that covers your complete data landscape.
Join this session with data testing experts, Curtis O’Dell and Jonathan Morar, from Tricentis, an Orasi partner, to learn how you can use leverage data integrity testing to:
• Ensure end-to-end data and decision integrity
• Expose data integrity issues as they’re introduced
• Save time and money by rapidly pinpointing root causes