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
Unstructured data introduction
Unstructured data vs structured data?
What’s the difference between structured and unstructured data? If we look at structured data – that which you’re most familiar with, it’ll be similar to that of an excel spreadsheet. You’ll have columns and rows. Most of us are very used to that and we can navigate it relatively easily. The metadata in the column headings also helps us understand the content that sits within the rows.

Unstructured data are things that are more like images, audio or text where there’s no structure there that allows us to interpret the data easily and we have to use different techniques in order to unlock value from it.

Healthcare again
The health care industry is a great example of why we need to do more with unstructured data. It’s estimated that around 80% of the medical record data that is captured about us is unstructured – things like handwritten physician’s notes, scans and the various different medical images that we might be getting in X-rays. Google has given a great example of how you can use this kind of data to drive better outcomes for, in this case, patients. They took some mammograms and other scans that looked at that medical images and using AI with it, they were able to detect breast cancers more quickly, more accurately, and with fewer false positives than trained medical doctors can do.
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