6 Easy Steps to Win at Data Governance
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About this course6 Easy Steps to Win at Data Governance e-Book
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Who this course is designed to help
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The basics of data in your organisationWhat is data and why care for it?7 Topics
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Why data mattersWhat "data-driven" means and how to use it to excite stakeholders6 Topics|1 Quiz
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Why your organisation struggles to become data-driven
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What does bad data look like, and how do you find it?How to identify bad data and identify its risks and costs3 Topics|2 Quizzes
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How to fix bad data with good governanceDefining what good data means
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The importance of business process data touch points
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What is governance anyway?
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Where governance and data collide
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Kicking off your data governance initiativeData Governance explained - 6 easy steps to win at data governance6 Topics|1 Quiz
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What are the basic features of a Data Governance Framework?8 Topics|1 Quiz
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Common Data Governance Misconceptions
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Why are you kicking data governance off in your firm?
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Data Governance vs Data Management
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Choosing a Data Governance Framework - Cognopia vs DAMA vs DCAM
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Establishing Data Governance is a lot like trying to win the World Cup
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Data Governance vs Data Quality
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What common errors should you avoid when setting up a Data Governance Framework?
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Data Governance is NOT a project
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Common Data Governance Misconceptions
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Five critical data governance deliverables
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How to Implement Data Governance in your firmLet's start Governing Data - the Cognopia Methodology14 Topics
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Establish the Scope of Data Governance
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Evaluate your environment
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Choosing your Operating Model
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Translate Data Governance Principles into Practice
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Building the Data Governance Team - an overview
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The Data Owner
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The Business Data Steward
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The Technical Data Steward
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The Data Custodian
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Organising the Data Governance Roles
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Define your Data Governance Forums
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Communicating the change
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Understand end user's data struggles to create better communications
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Sustain and Improve
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Establish the Scope of Data Governance
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Data Governance case studies - winning with data governance9 ways data leaders are winning with Data Governance1 Quiz
Metadata introduction
What is metadata?
Some people find metadata a little bit confusing, but in reality, it’s relatively straightforward, it simply means data about other data. That means information about who the data such as when was it created, what format is it in, etc.
And why do we need that?
The first and most obvious reason – data on its own is hard to understand. I could take a number, something like “97503525”. In and of itself, that doesn’t tell us anything. It’s just a piece of data (a set of numbers here). However, when it’s put inside a column and that column is given a header, which is the metadata.

That header informs me that it’s a phone number, and then all of a sudden we can interpret that. We can derive meaning from it and in this case, potentially call a person with that number. We can also test whether that number is valid and we can put some rules around them to make sure that it fits certain formats. For example.

Enriching your organization’s metadata is one of the key deliverables that data governance will help you create. The reason to do that is to make things easier to understand and to make the data you have something that can be used. Data on its own doesn’t have any value at all. Only when people can understand it and put that data to use can you unlock value from it.
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