Using Data Governance to Foster a Data-Driven Culture
Key Takeaways:- Learn best practices for implementing effective data governance.
- Understand how data governance drives data-driven decision-making and culture.
- Explore the people, process, and technology elements of successful data governance.
Description
Data governance is more than just a framework for managing data—it’s a key driver of a strong data-driven culture. By aligning people, processes, and technology, effective data governance empowers organizations to make better decisions and unlock the full value of their data. Without a focus on governance, fostering a data-driven culture becomes a significant challenge.
In this panel interview, Kim Wienzierl, Director of Master Data Management at Newell Brands, and Lauren Maffeo, Assistant Director of Product at Maryland Department of Labor, will discuss how data leaders can use data governance to strengthen their organization’s data culture. You’ll learn best practices for implementing data governance, explore the relationship between governance and data-driven decision-making, and understand how governance supports the development of a robust data culture. This session is perfect for data leaders looking to integrate governance practices into their broader data strategies.
Presenter Bio
Kim has nearly 30 years of experience as a data and IT leader. She has built data governance programs, and run data transformation programs across many organizations. Kim has a wide range of expertise, from analytic strategy to master data management to IT service deployment. Kim is the author of "The Data Governance Guidebook and Playbook". Previously, she was Director of Data at Radio Systems Corporation, and Chief Data Officer for the State of Tennessee.
Lauren runs a team of designers and technical architects to build cloud platforms and fraud detection models. She leads data quality and governance efforts for the products built by the Maryland Department of Labor. Lauren is the author of "Designing Data Governance from the Ground Up". Additionally, she is a founding editor of the "AI and Ethics" journal and a former area editor for the "Data and Policy" journal. Lauren also teaches User Experience and Design at The George Washington University, and she has written for Harvard Data Science Review, Financial Times, and The Guardian.