The importance of data governance
The business case for data governance
Data governance best practices
Data catalogs and their role in data governance
How to implement data governance practically
Data mapping and classification
Data mapping and classification
Who owns data governance?
Defining data policies and workflows
How to integrate data from multiple sources
Defining success and the path ahead
The importance of data governance
The importance of data governance
Everyone knows that data governance is important, but not everyone knows why. In this session we’ll examine the importance of having good data governance in your organization. In this session we will:
- Define data governance
- Examine data governance’s role in compliance and privacy laws
- Understand the role of data governance in achieving company objectives
- Introduce 5 key ideas of data governance
The business case for data governance
The business case for data governance
Data governance requires a lot of company time, effort, and resources to execute correctly. For that reason, we will learn about the business case for data governance during this session. We’ll cover topics like:
- The positive effects of data governance
- The drawbacks of avoiding data governance
- The cost of data governance
Data governance best practices
Data governance best practices
Data governance is a broad topic and there are a lot of people giving advice about how it should be done. In this session we’ll discuss some of the most used and revered data governance practices. We’ll also cover:
- How to select data for governance
- Metadata and the role it plays in governance
- Common data governance tools
- Introduction to data catalogues
Data catalogs and their role in data governance
Data catalogs and their role in data governance
A data catalog is an organized, detailed collection of data assets within an organization. During this session we’ll review the data catalog and discuss its role in data governance. We’ll cover topics like:
- How a data catalog is organized
- The benefits of using a data catalog
- The effort it takes to catalog your data
How to implement data governance practically
How to implement data governance practically
In this session we move from theory to practice and teach you how to implement a popular data governance solution, Microsoft Purview. Microsoft Purview is one of the most popular and robust data catalog tools available on the market. During this session we’ll cover topics like:
- The purpose and intended scope of Purview
- How to get ready for implementation
Delivery format: We will introduce Microsoft Purview and take a brief tour of the navigation. We’ll also talk about cost, setup times and general administrative details.
Data mapping and classification
Data mapping and classification
Having good data that isn’t available for use and having available data that you don’t have a use for are two of the biggest boons when it comes to data management. When you can’t use your data it invalidates the entire process used to collect and process that data. During this session we will cover the following topics:
- What does data availability mean?
- How to ensure your data is usable
Delivery format: Scanning and registering data in Purview. Creating a data map in Purview. Creating defining and assigning classifications and glossary terms to data assets in Purview.
Data mapping and classification
Data mapping and classification
Having good data that isn’t available for use and having available data that you don’t have a use for are two of the biggest boons when it comes to data management. When you can’t use your data it invalidates the entire process used to collect and process that data. During this session we will cover the following topics:
- What does data availability mean?
- How to ensure your data is usable
Delivery format: Scanning and registering data in Purview. Creating a data map in Purview. Creating defining and assigning classifications and glossary terms to data assets in Purview.
Who owns data governance?
Who owns data governance?
One of the reasons that data remains unsecured is because it has no real owner. No one is responsible for the data, no one knows about the sensitivity of it, and therefore the data can be mistreated and rendered useless. In this session we’ll talk about:
- The problem with “ownerless” data
- Practical ways to safeguard your data and assign responsibility
Delivery format: Data access levels in Purview. Assigning owners, stewards, and experts for your data assets. How to create role assignments for data collections
Defining data policies and workflows
Defining data policies and workflows
The most common data management mistake that companies make today is using data that they haven’t verified to be accurate. It happens every day in almost every company. However, using data without knowing the veracity of that data can lead to bad business decisions and in some cases can lead to decisions that hurt people. In this session we’ll cover topics like:
- The importance of data integrity in data governance
- Data verification methods
Delivery format: Certifying your data assets in Purview. We’ll also cover using classifications for data quality and exploring data lineages in Purview.
How to integrate data from multiple sources
How to integrate data from multiple sources
It’s unusually inefficient to combine all of your data into only 1 system, so most companies have many data sources from all different providers. Only governing data from select data sources will likely undermine any of your data governance efforts. So being able to govern data from multiple sources is key to an effective data governance program. During this session we’ll cover topics like:
- Managing multiple data sources with one tool
- Combining data assets from different systems into a single data asset
Delivery format: We’ll explore Azure Data Factory and how it integrates into Purview. We will also examine the Azure Data Share integration in Purview.
Defining success and the path ahead
Defining success and the path ahead
Simply cataloging your data doesn’t necessarily guarantee success. In order to succeed you need a good governance plan. During this session we’ll discuss:
- Good resources for making a data governance plan
- How to define success for your organization
- Practical next steps for implementing data governance
- Q&A and discussion