In this example. the organization has no BI tool today, but they do have a bunch of Excel reports that is manually updated with data. It takes a lot of manual effort to produce the sheets, so they are not created very often.
This mean they have a low Business Value (old data) and relatively high complexity (because of manual routines). We place the first "bullet" in the first (A) section, and high up with low Business Value. With their reports, they manage fairly well to answer the What-question, but they don't see in the data Why it is like it is.
To continue the example; This company has a well functional ERP where data is stored in a structured SQL server. Extracting data from the server to a BI platform is expected to be relatively easy and swift. So they estimate that going from region (R) to region (A) will be not very complex. We will add some cost for the BI platform licenses and system development, but the final solution will release resources in terms of labour costs and manual routines will be minimized.
The expected result after the implementation is to have doubled the business value while not adding so much complexity and costs!
Looking ahead, how about going to the (M) level? What is needed and what is the expected business value?
Well in this example, the ERP system and the SQL server is not going to be able to deliver data very frequently to the BI solution, so the company need to invest in better or upgraded ERP and database platforms to be able to reach the (M) step, while not really adding so much more business value. So the conclusion here is to not go into step (M) and then of course there will neither be any point in reaching for the last step (P).
On the last page, you will find the summary of this concept.