DATE: March 7, 2018, This webinar has passed. The recording will be published in the Members Only section at www.dgpo.org.
TIME: 2 PM Eastern / 11 AM Pacific
PRICE: Free to all attendees
This webinar is hosted by:
About the Webinar
This session will cover the data classification process from beginning to end. It is based on the best practices in use by Enterprise Data Governance and Data Stewardship at Dun & Bradstreet, a leading provider of business credit data. Data Sensitivity Classifications will be used as a working example. We will start by explaining the importance of data classifications and walk through the types and levels of classifications required to meet your organization’s needs. Next, we’ll review the culture change associated with making the data classification process part of your organization’s business as usual. Helping data stewards perform data classifications will be covered. We’ll also touch on ensuring you are prepared for global data differences between sensitive and personal data. Lastly, we’ll touch on ensuring appropriate data handling controls are in place based on the classifications assigned to your data.
About the Speaker
Lisa Baughman
North America Data Governance Leader, Dun & Bradstreet
Lisa Baughman is North America Data Governance Leader at Dun & Bradstreet, focusing on governance practices, policies, procedures, regulatory obligations, and meeting internal customer needs around data. She also ensures that data governance is coordinated with her counterparts in UK/Europe and Asia. Part of her role includes organizing a large data steward network that is spread out across the business and which liaises with the central Data Governance Office. Lisa is also responsible for the pipeline of cases that come to data governance from across the business. These cases consist of diverse requests from needs to understand data, to requests to acquire new data from outside sources. Lisa’s background is in the business, which gives her a unique understanding of the viewpoint of data consumers and their needs. More recently, Lisa has been involved in the implementation of tooling to support the data governance.