IDMA Fall/Winter Conference
Event Start Date: Wednesday, October 13, 2021 - 12:00 am
Event End Date: Thursday, October 14, 2021 - 11:59 pm
Agile Analysis and Governing in a Hybrid Environment
Whether you are new or experienced in data governance and data management; or you work for an insurance carrier or a technology and data services provider; we invite you to review our program and join us at Virtual IDMA 2021 Fall/Winter Conference, October 13th-14th and connect with data professionals, like minded peers, and industry experts.
Over the course of two-days, you can pick and choose from live presentations on topics like:
- Data Literacy
- Data Strategy and Governance
- Data and Information Quality
- Data Catalog
- Analytics and Data Science
- Technology Disruptors – AI, Machine Learning, and more
- Data Ethics
- Data Protection and Privacy
- Compliance and Regulatory Reporting, and more.
Program will focus on the insurance industry and will include:
- Keynotes and track sessions
- Virtual exhibition hall
- and virtual entertainment (a Night at the Races)
Opening Keynote: Data Protection Policy Governance, 11:45 AM – 12:45 PM EDT
Speaker: David Loshin, University of Maryland, College of Information Studies
Data governance is increasingly focused on managing auditable compliance with externally defined laws, regulations, and standards, yet conventional approaches to data governance focusing on operating models and org charts are insufficient to satisfy this need.
In this session we introduce key aspects of understanding how to translate legal and compliance directives into data protection policies for guarding against unauthorized use of protected sensitive information. The talk explores identifying and defining policies and how different types of data policies are managed as part of a data governance program. We then provide an overview of ways of using taxonomies for data asset classification as well as clarifying data consumer roles and data privileges.
Attendees will learn about:
- Goals of data protection policy governance
- Data policy basics: What is a data policy, and translating directives into data policies
- Developing taxonomies for data asset, role, and use context description, categorization, and classification
- Processes for bridging the gaps between the data owners, IT, and data consumers.