Have you ever been in an “analysis-paralysis” situation where you have so much data you just don’t know what to do about it?
I have, and it wasn’t easy.
I have been given (more of dumped at me) 3 years worth of data for over 700 different metrics.
To make matters worse, the metric names, data types, and computations changed sometimes on a quarterly basis.
And I was tasked with the burden of solving for decision points such as:
- What are the pain points of the business?
- Which ones are controllable, which ones are not?
- Which ones are leverage points or leading metrics, and which ones are outputs or lagging metrics that we can only monitor? Which ones are business metrics and which ones are operational metrics?
- How can we judge the health of the business at one glance?
- If something goes red, how do we know if action is required?
- If something trends red, how do we know when intervention is required?
- If a lot of things go red at the same time, how do we know what to solve for first, in order of priority
If I did not have the knowledge and experience of doing data analysis, it would have felt as if I was left for dead.
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