One of the most common arguments in the area of Business Intelligence today concerns the level of detail at which a company should keep its data for the purpose of informational analysis. There are many reasons for this argument, and perhaps the most pertinent three are influenced by: What data is available The limitations of

Saw some contrasts last week, sunny in South France and not so much in Edinburgh. Returning home to Stockholm was a different thing altogether. Ice fishing after drilling a meter through the ice! Anyway, I’d just like to conclude this ‘what, why, what will story’ The ‘What If’ era is predicated on an ability to

Well, the Gartner event went well and I actually got to tell the story about the ‘what era’ expending it into the ‘why era’ and the ‘what if’ era. Read on if you’re interested and if you want a copy of the slides I used drop me a line on my email. You know by

On the 6th of February I have the honour of addressing the audience of the Gartner BI Summit in London. I’m going to introduce the ‘what’ era and propose that today’s data warehouse implementations leave a good deal to be desired. If we look at the current IT systems that companies have deployed today, be

Over the last few years we have renamed the process of basic operational reporting with the much more grand name of “Business Intelligence.” In doing so, we’ve almost managed to convince ourselves that we have advanced these capabilities in some great way. Unfortunately, the truth is that we probably have less so-called intelligence today than

As companies move forward, whilst it will undoubtedly remain an advantage to be rich and powerful, size in itself may not be such an important plus point. Most certainly size brings coverage and reach, but it also breeds cost and inflexibility. Instead, we will begin to see the proliferation of many smaller companies who have