Prove the Value of Data
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Data Valuation Downloads
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Why we need to put a dollar value on data
Data valuation 101: why you need hard numbers to succeed4 Topics -
Setting the scene - a Finance 101What are some financial metrics your management will care about?3 Topics
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The four categories of data value4 Topics
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Establishing a baselineThe value of intangible assets
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Data valuation 102: how much is your data worth today?4 Topics|1 Quiz
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Fail-Proof Data Valuation TechniquesAn introduction to data valuation models
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Enhance Experience - how data can win you more business2 Topics|1 Quiz
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Wheelspin Wipeout - Put a price on waste and rework2 Topics|1 Quiz
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Eliminate ambiguity - how to drive productivity across your enterprise3 Topics|1 Quiz
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Opportunity knocks - where can we sell or barter our data?4 Topics
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Data Debt - the high cost of doing nothing2 Topics|1 Quiz
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Infonomics - a practical review7 Topics|1 Quiz
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What does the Intrinsic Value of Information Mean?
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What does the Business Value of Information Mean?
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An introduction to testing business ideas
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What does the Performance Value of Information Mean?
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What does the Cost Value of Information Mean?
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What does the Market Value of Information Mean?
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What does the Economic Value of Information Mean?
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What does the Intrinsic Value of Information Mean?
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How much does it cost to be wrong?1 Quiz
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Using data valuationsHow do we use these data valuations?
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Mapping data valuations to Enterprise value
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Running Data Monetisation Workshops
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Growing data value through time - Bill Schmarzo's Economic Value of Data
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Next steps1 Quiz
Participants 49
Where is data destroying enterprise value today?
Now your organisation consumes capital with every activity that it does, and every time we spend money on something that’s not driving the core business activities forward and driving returns to our shareholders, we are destroying value.
So where is data costing you money today? Let’s take a quick look at the impact on your customers and your employees.
Data inefficiency
So in this example, here we’ve got a customer talking to a first department, getting some data from them. Then they talk to another department. Maybe it’s the retail people and then they finally talk to a third department.

Maybe it’s the retail people and then they finally talk to a third department. Maybe this is finance and billing, and as you can see, they get different answers from each of those different departments when they call up and try and find something relatively straightforward about their account or a product or service that they might have purchased.
And this causes a huge amount of frustration and anger to your customers, as well as disillusionment. Because if your data about that customer is inaccurate, how can they trust you to be doing anything else accurately?
Where data destroys value in Healthcare
That’s a quick look at how data destroys value. Now, in this short topic, we are going to make it a bit more tangible, and let’s look at the healthcare industry and see how data is destroying value both for the healthcare companies, but also, more importantly, for their patients.
Time wasted on paperwork
So where is data in healthcare wasting money and eroding value? Well, doctors are getting stressed out here, and nearly three-quarters of them are reporting that they’ve got some burnout related to the electronic health records that they have to fill in whenever we go and visit them.
That’s partly because of the amount of time they’re spending. Every time they spend an hour with us, they spend 2 hours writing that up and creating paperwork and inputting data. We’ve got to get that down to make sure that they can spend more time on value-added activities.
And over a single shift, they make over 4000 clicks on a computer. Are they really data entry people? Or are they treating us and diagnosing our illnesses?

The state of healthcare data
So what does health care data look like today? I bet you’re hoping that I’m going to bring great news and tell you wonderful things, but unfortunately, I’m not. Let’s have a quick look at the situation we find in health care organisations right now. So one of the drawbacks of making our frontline people input too much data is that we end up with errors in that data. And what you see on electronic health records is:

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