20 ago
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Data Goblins
|
Cundinamarca
20 ago
Data Goblins
Cundinamarca
Oct 25
Oct 25 The Data Café - A Secret Sauce for Adoption
Kurt Buhler
Data Culture & Adoption
A STRATEGY TO DRIVE USER ENGAGEMENT
*…and promote*
*end-user adoption*
*of data solutions once they’re deployed & live*
OUR SUCCESSFUL DATA SOLUTION
When do we know that we’ve created a successful report?
Is it when the report is performant & fast? What about when it looks nice, because it follows best practices? When it’s accurate and correct? How about when it’s delivering us predictive or even prescriptive analytics?
We might be thinking all or a combination of the above. That might be true if we are defining a good quality solution, but is it a
*successful*
solution? Ultimately, a data solution’s success is defined by one thing:
*is it being used to derive business value?*
IF NO ONE’S USING OUR SOLUTION…
…THEN IT’S NOT A GOOD SOLUTION.
Our Solutions Can Be All Of The Things In The First Paragraph — Pretty, Performant & Powerful — But If They’re Not Being Used, They’re Bringing No Value. Usage Is Arguably One Of The Bottom-line Definitions Of Success.
It’s Why The Usage Metrics Of Our Reports Are So Confronting. So What Can Can We Do To Increase Usage? There Are Many Factors Involved, But We Might Look At Three Different Things
- Design the right solution for the business questions addressed; Collect the correct requirements from the correct people who will actually use it.
- Build a high-quality solution that fits user needs and expectations; Follow best practices to create something efficient, accurate, innovative & accessible.
- Create & cultivate a data culture around the solution, supporting it & the end-users who use it
In this article we will look at #3 - an using “
Data Cafés
” to cultivate this data culture & improve adoption.
WHAT DO WE MEAN BY ‘ADOPTION’ AND WHY DO WE WANT IT?
Adoption is a complex and nuanced topic.
In a nutshell, your solution - your report - is ‘
*adopted*
’ not only when the end-user community is using it. Adoption is more than
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