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CQAA January 2022 Webinar New Approach to Trustworthy Data Across Modern Pipelines

  • 26 Jan 2022
  • 12:00 PM - 1:00 PM
  • Webinar


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New Approach to Trustworthy Data Across Modern Pipelines

Curtis O'Dell - Tricentis

About the Topic

Today your data is always on the move through increasingly complex and heterogeneous IT landscapes—and that trend is set to continue as new data sources and tools come online. As your data travels to your reports, dashboards, visualizations, and business processes, it is transformed, consolidated, and manipulated—providing ample opportunities for costly data errors to be introduced. So, how do you ensure that your data arrives intact and fit for purpose wherever it’s heading?  Whether it’s compliance, operational or business decisioning data the impacts of data without integrity is real.

Join us to learn about a new end-to-end data testing approach designed for modern data pipelines that fills dangerous gaps left by traditional data management tools—one designed to handle structured and unstructured data from any source. You’ll hear how you can use unique automation technology to reach up to 90 percent test coverage rates and deliver trustworthy analytical and operational data at scale.  Several real world use cases from major banks, insurance, finance, manufacturing and retail examples will be presented.

Key Learning Objectives

  • Data journeys are complex and you have to ensure integrity of the data end to end across this journey from source to end reporting and visualizations
  • Data Management tools do not test data, they profile and monitor at best, and leave serious gaps in your data testing coverage
  • Automation with integration to DevOps and DataOps’ CI/CD processes are key to solving this.
  • How this approach has impact in specific verticals

Date and Time

Wednesday, January 26, 2022
12:00 Noon – 1:00 PM

About the Speaker

Curtis O’Dell is the sales director for the data integrity offering for Tricentis. He has over 30 years of experience, having built fraud and risk data solutions for the largest banks in the U.S. His testing background includes every platform from mainframe to mobile. He has worked with testing embedded systems for Lockheed Martin’s F-35 and Medtronic’s pacemakers as well as the largest financial and business systems for ExxonMobil, Nationwide Insurance, and WorldPay. His experience includes managing the Emerald Health Service Bureau for Ross Perot’s Perot Systems. A University of Texas at Austin graduate in Geophysics, a graduate of the System Engineer Development (SED) program at Ross Perot’s EDS (now HPE), and Harvard Business School Business Analytics certified, he brings a breadth of knowledge of data and how to achieve solid data quality.

Hosted By

SPR Consulting


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