Organizations are increasingly empowering a growing variety of data consumers to innovate their reporting, business intelligence, and advanced analytics. Yet expanding access to data comes with some risks, especially with increased concerns about ensuring compliance with a variety of business policies, industry guidelines, and laws and regulations.

Conventional approaches to data governance focusing on operating models and org charts are necessary but insufficient. Practical deployment of strategic data governance combines the definition of data policies, and methods for operationalizing those data policies, along with descriptions of the roles and responsibilities for ensuring how data policy compliance aligns with business objectives.

In this seminar, we discuss aspects of a framework for identifying business objectives that have implied data policies, identifying and defining those policies, and how different types of data policies are managed as part of a Data Governance program. We then discuss ways of distilling business policies from business objectives, identifying data dependencies, defining business-relevant data policies, methods of data policy compliance, and ways that tools support data policy enforcement. We will explore how taxonomies are used for data asset classification as well as clarify data consumer roles and data privileges.

We will have some collaborative exercises to decompose a regulation and identify the relevant components and taxonomies inherent in the regulation.

Attendees will learn about:

• Goals of data policy governance
• Data policy basics: What is a data policy, and translating directives into data policies
• Developing taxonomies for data asset description, categorization, and classification
• Assessing the enterprise data landscape
• Capturing data asset metadata in a data catalog
• Roles and privileges of the data consumers
• Processes for bridging the gaps between the data owners, IT, and data consumers

Seminar Date: February 21, 2023
Seminar Time: 11 AM – 6 PM Eastern / 8 AM – 3 PM Pacific

Tutorial Format

• A full-day tutorial workshop that includes lecture format over slides with questions either throughout or at the conclusion of each section and exercises.
• The seminar date is: Tuesday, February 21, 2023
• Seminar time is: 11 AM – 6 PM Eastern / 8 AM – 3 PM Pacific
• All tutorial material will be made available for students to download.\
• The tutorial will be recorded so if you can’t make the session you can watch it at a later date
• DATAVERSITY will be integrating two platforms to run the training: The DATAVERSITY Training Center (DVTC) platform and Zoom.
• The DVTC Platform is where you will start your training: https://training.dataversity.net
• This will be where you will log in, and then click a “Join Now” button on the day of the live training in your course dashboard.
• This platform will contain the syllabus for the day, information on navigating through both platforms, enable you to take notes throughout the training, join a forum with your classroom peers to network with each other even after the live online training is over, download materials, and access the recording of the training when it is complete.
• When you click the “Join Now” button in the DVTC Platform, a Zoom window will open.
• This platform is where you will take the training, view the presentation, and engage in breakout sessions.