Comparing Business Intelligence to weather web sites might seem a little odd, but I am convinced it is valid and more importantly highlights a path to the future for the way we use information in our organizations. Continue reading
Once again BI adoption is pretty much static at 22% (a little down on last year’s 24%, but probably statistically flat).
As I have written about time and time again in this blog, my strong feeling is that the reason for this flat-lining of BI adoption is that we have saturated the “analyst” BI market and we are going about “end-user” BI in the wrong way Continue reading
If I am right, then it is a little odd because when I have talked to people at SAP the strong message I get is that Lumira is a tool targeted at analysts, and analysts, I would argue, are a small minority of the potential BI users in an organization.
Despite some of the more outlandish claims in the market, we are NOT “all analysts these days”. The vast majority of us have jobs to do which involve running part of a business, and although we need data and information to do this, this does not make us analysts or suitable users for an analyst tool.
“nobody seems to agree with me, but it’s not about the type of user, it’s about tasks”.
Timo I do agree, and yes it all comes back to the BBC weather site again
Although you can sub-divide a thousand different ways, the most important distinction (if you want to deliver successful BI) is between “analyst BI” and “end-user BI”.
I know that sounds like types of user but actually it is not, it is about modes of usage and one user can use both of these at different times.
My ex-colleague from BusinessObjects, Bill Schmarzo (that is his picture to the left), has just posted a blog entry (here) which should be compulsory reading for anyone in BI and especially for those who are working with BI and “big data”.
Let me explain why …
The opportunities opened up by “big data” are very significant and no-one should be ignoring them. Unfortunately, if you follow the hype in the market today at best you will only realize a small percentage of the value and at worst you will swamp your organization with inappropriate, time-consuming access to data they don’t actually need. Continue reading
Mark Cooper (that’s his avatar on the left) posted a great article on the SAP Community Network (SCN) earlier in the week.
The title “the war on self-service” immediately drew me in as I have long advocated that self-service BI (in all its forms) is probably the biggest inhibitor to the wider adoption of BI in our organizations.
I was not disappointed. Mark summarizes the problem beautifully:
“The most commonly attempted [self-service] scenario in BI projects is … the one that I commonly see fail because the project tries to reduce reliance on IT and enable the business to do their own reporting”
Bingo! In a sentence, this is the reason we have had with too much BI shelfware and too little BI adoption for the last 15-20 years.
To explain, there are two issues: Continue reading
However, as others have observed over the last couple of years, as a society we are not doing as much as we should or could to encourage the next generation of programmers. In fact, you could argue that we have gone backwards on this over the last 30 years.
Last week Sarah Gou from the SAP Dashboards product team posted an article on mobile best practices for SAP Dashboards. It is a good read with a number of pieces of excellent advice for deploying successful mobile dashboards. Continue reading
I am beginning to hope that Howard Aiken was right when he said :-
“Don’t worry about people stealing your ideas. If your ideas are any good, you’ll have to ram them down people’s throats.”
For a long time now (pretty much any of my other posts in this blog cover the idea in one way or another) I have been advocating the idea that ad-hoc / self-service is not the panacea for Business Intelligence which it is widely perceived. More recently this has evolved into the more constructive idea that interactive dashboards are the only form of BI needed for end-users. Continue reading
There was much discussion of advanced/predictive analytics and agile visualization in the tweet stream from the SAP Analytics briefing which Steve Lucas gave to analysts in New York last night (mainly via John Appleby, @applebyj) however, for me the biggest insight came from what the NBA are doing with HANA.
The underlying technical stuff was impressive, as John tweeted: