New technology, familiar problems!
Are you struggling with issues of adoption and user engagement?
|We have||a great BI tool||but||don't know what to look at|
|We have||plans for a data strategy||but||can't agree on where we will get value|
|We have||master data management||but||our users don't get what they need|
|We have||data governance||but||no one takes ownership|
|We have||a team of data scientists||but||they can't find the data they need|
|We have||a lot of data||but||can't get the insights we need|
|We have||self-service BI||but||our users aren't engaged|
|We have||spent a lot on data analytics||but||we don't trust the insights|
|We have||a data-driven strategy||but||but no one is following it|
It's easy to focus on what you can see - data, technology, activities - but what you can't see can sink your data management efforts.
How people respond to your activities depends on how you make your actions relevant to them.
Culture eats strategy for breakfast!
- Peter Brucker
Data culture is not one size fits all
It's tempting to believe that your business has its own homogenous data culture.
The reality is that each business area, each division, and even each team can have its own set of values for how information is used. By building an understanding of these differences we can help you to see how the same data across the organisation can be seen, used, interpreted and managed differently.
In a culture misalignment, stakeholders simply do not understand or accept each other's mission. The good news is that most areas are more similar than they are different.
We must understand both the similarities and differences to enable a cohesive data culture, that will in turn drive the adoption of a cohesive enterprise data strategy.
Similarly, it's tempting to jump straight into data or technology without understanding what soft skills must be developed to make the technology work for our business.
An holistic approach covering people, process and technology risks and opportunities