Tuesday, June 7, 2022
01:45 PM - 02:30 PM
Business
Data Risk Management is a shared responsibility that ultimately lies with senior management and boards. No company wants to be on social media or in the news with a data risk problem or have a regulator at their door looking for answers. Execution of Risk Management is shared across the company. One client’s CEO commented that “We are all risk managers.” Data Risk Management requires that all stakeholders know the quality of the data across the company. They also need to know the correct data sources and the Subject Matter Expert. We note that knowledge of data risk or bad data is siloed and not shared. Companies unknowingly use bad data for reporting. Most Data Governance implementations have the knowledge to solve this problem, but there is no direct interaction with Enterprise Risk Management. This session provides a solution to increase communication across your company. You will learn:
Steve Zagoudis is a data quality specialist and a leading authority on Optimizing Data Inventory Management, Data Governance, Information Governance, Lean Governance, and Data Risk Management strategies. He is the founder and CEO of MetaGovernance, an Enterprise Information Management (EIM) consulting firm. A veteran of advising multi-national corporations and government-sponsored enterprises (GSEs), Steve is passionate about helping organizations solve their critical data challenges.
Steve’s extensive background in Business Operations, IT, and Information Governance includes directing projects at Standard Oil, BP Worldwide, Sequent, IBM, Goldman-Sachs, and the Federal Home Loan Banks.
Steve is a strong advocate of governance controls in the world of structured and unstructured big data. Today’s regulatory environment is especially harsh for organizations that rely heavily on spreadsheets, end-user computing, and manual data reconciliations for financial disclosure. For over 25 years, he has helped clients across multiple industries improve their data accuracy and integrity while reducing operational, compliance, and reputation risk.