6 Easy Steps to Win at Data Governance
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About this course
6 Easy Steps to Win at Data Governance e-Book -
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
Participants 197
In this test, we want to apply what we have learned about Customer experience, bad data and business value. The aim is to get you to apply what you’ve learned so you can use the same approach in your own organisation.
We will use StarHub as an example. Let’s start by looking at their reviews on the website TrustPilot:
In order to help:
- We can assume a rating of 1, 2 or 3 stars (out of 5) corresponds with an NPS score between 1 and 6 (Detractor)
- A TrustPilot rating of 4 corresponds with an NPS score of 7-8 (Neutral)
- And a rating of 5 would be a Promoter – corresponding with an NPS sccore of 9 or 10
- The calculation for NPS scores is shown below
Net Promoter Score (NPS) = % of Promoters – % of Detractors
Bain and Company
Question 2
Take a look at one of the 1-star reviews and think whether this has anything to do with bad data or bad data management practices:
Question 3
Having calculated the Net Promoter Score, we need to put a dollar figure on the value of improving NPS. Without digging deep into the number of data problems they have, we can’t truly guess how much improving those data problems could unlock for Starhub.
As a result, we will assume that 5% of 1* customer complaints are coming from customers that would not complain if we had a better handle on their data. Perhaps we give them a more custom service, or just give them consistent answers when they call different staff, teams and departments.
To work the impact out we have to know their annual revenue. In 2020, StarHub delivered $2,028.8M total revenue. To make your sums easier, let’s assume the revenue is $2 Billion dollars exactly. Here’s the source of this info.
From our course, we know that for every 10% reduction in the number of detractors by 10%, then your revenue will go up by 4.14%
How much could StarHub expect to increase their $2Bn revenues by if they could reduce detractors by 5%?
Question 4
StarHub could, of course, decide they want to delight some of their customers with data. Perhaps they want to make their customer experience the best in the business, by creating a concierge-level service. Providing great data to Customer Service Reps could help increase their Promoters by 5%.
We know from the course that if you can increase the number of promoters by 10%, then you can drive up your corporate revenue by 1.42%.
How much more revenue could StarHub expect to make if they could use data to add another 5% of Promoters to their customer base?
Question 5 – more bad reviews
Is this review related to data?
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Question 1 of 5
1. Question
What is StarHub’s Net Promoter Score?
CorrectIncorrectHint
Net Promoter Score is calculated by subtracting the percentage of Detractors from the percentage of Promoters. The maximum score is +100. The minimum score is -100.
Please input your score using a positive (+) or negative (-) sign, and a whole number (e.g. 27).
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Question 2 of 5
2. Question
Is this customer complaining about a data problem?
CorrectIncorrectHint
Are silos a problem for data management?
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Question 3 of 5
3. Question
How much is it worth to StarHub if they can reduce the number of Detractors in their customer base by 5%?
Assume they made $2 billion dollars exactly.
CorrectIncorrectHint
We are only looking for a 5% improvement
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Question 4 of 5
4. Question
How much is it worth to StarHub if they can increase the number of Promoters in their customer base by 5%?
Assume they made $2 billion dollars exactly.
CorrectIncorrectHint
We’re only after 5% gain here.
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Question 5 of 5
5. Question
Is this customer complaining about a problem that better data could fix?
CorrectIncorrectHint
Is over promising related to data?