Overview

May 18

Data is the basis of the analytics and AI/ML models reshaping state and local governments, but managing that data proposes new risks. Your data can break at any time as it journeys across your increasingly complex IT landscape – this raises the need for comprehensive data integrity testing. Data testing can help agencies catch data errors before they become costly downstream issues.

With more governments undergoing digital transformations, data integrity has become more critical – and more challenging – than ever.

Today’s digital environments are too dynamic and complex to rely on manual data testing. And end-to-end tests are widely recognized as difficult to create, slow to execute and fast to break. Modern data integrity solutions address these challenges using automated end-to-end data testing to perform data validation and reconciliation across all layers of your data ecosystem.

Join Government Technology on May 18, 2023, at 11 AM PT/2 PM ET to learn how to bring automated end-to-end testing to the world of data — enabling you to drive higher data quality and better outcomes at scale.

You’ll learn how to:

Enable end-to-end data integrity testing across all layers of a data ecosystem
Facilitate the early detection of data errors
Streamline data integrity testing across teams, tools and projects

Speakers

William (Bill) Rials, Ph.D. — Moderator

Senior Fellow, Center for Digital Government

William (Bill) Rials, Ph.D., is a professor and associate director (department chair) of the Tulane University School of Professional Advancement IT and Cybersecurity Program. He focuses on continually delivering and updating the program curriculum based on innovative and emerging technologies. Before transitioning to academia and higher education, he had a diverse gov tech career delivering value to state agencies, local governments, and law enforcement agencies throughout the state of Mississippi.

Curtis O’Dell — Speaker

Global Business Manager, Tricentis

Curtis O’Dell is the Global Business 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 USA. 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. His experience includes managing the Emerald Health Service Bureau for Ross Perot’s - Perot Systems. A University of Texas at Austin graduate in Geophysics cum laude, 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 breath of knowledge of data and how to achieve solid data quality.

Brenda Decker — Speaker

Former CIO of Nebraska

Brenda Decker most recently spent five years with IBM as a Director for Global Government Industry services. Prior to IBM, Brenda served in Nebraska state government for 37 years, 10+ years as the state's chief information officer with responsibility for state government computing, telecommunications, public safety radio, and video conferencing. Her expertise leading, transforming and managing large IT organizations has created high-performing teams and partnered cross functional public and private organizations. Her work has garnered both local and national recognition for her contributions to government technology.

Webinar

Drive Better Outcomes Through Data You Can Trust