Data integrity issues cost organizations $15 million annually, and $3.1 trillion overall is wasted finding and fixing data issues each year. Stop these data issues in their tracks — with an automated, integrated process that covers your complete data landscape. Watch this session for a high-level look at how to automatically test the complete the data lifecycle from end to end. We’ll walk you through a real-world scenario, from health care data to Salesforce contacts, through Snowflake migration and transformation, and into Tableau reporting.
Speaker: Curtis O’Dell, Sales Manager DI – BI/DWH Solutions AMS, Tricentis
Curtis O’Dell is the Sales Manager 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 United States. 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, to the largest financial and business systems for ExxonMobil, Nationwide Insurance, and WorldPay. Curtis graduated from the University of Texas at Austin, with studies in geophysics, and has further SED training from Ross Perot’s EDS. Also Harvard Business School Business Analytics certified, he brings a breath of knowledge of data and how to achieve solid data quality.
Speaker: Jonathan Morar, Senior Solution Architect for Data Integrity, Tricentis
Jonathan works at Tricentis as a Senior Solution Architect for Data Integrity. He has 20 years in IT experience in financial, insurance, government, and healthcare industries across South Africa, Europe, Australia, and the United States. Jonathan started his journey with Tricentis APAC in our professional services team, working side by side with our customers and partners to deliver a number of high-profile projects. He has been with Tricentis over seven years and is now part of the Tricentis AMS team, specializing in Data Quality Test Automation.