The gap between data and decision is wide. And it is growing.
Imagine this scenario: your company has already spent tens of millions of dollars on its SAP technology, and the CEO needs data on an important decision, asking, “Do we have the data to help us reduce the risk of a million-dollar decision during this uncertain time?”
Your response? “It’s going to be tough. Some of the data we need to make this decision is in SAP BW, and some of the data is outside of SAP. The last thing we want to do is take the data out of our SAP system and lose our business logic, data governance, and security. And we don’t have a good analytics solution that enables us to blend data from these sources without moving it. So, yes, we could do it, but it’s complicated. It’s going to take us some time to get it pulled together and presented to help guide this decision.”
How well does that go over? To ask another way: have you ever left a meeting like this with the feeling that you’re being held back by your analytics?
In times like these – which require fast and intelligent decisions because they will have a material impact on your business – the gap between data and decision seems infinite, and your valuable SAP data seems less usable.
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