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I have featured Neil Raden’s thoughts quite a few times on this blog. It is always valuable to learn from the perspectives and insights of people like Neil who have been in the industry a long time and to whom there is little new under the sun.
In his latest post, IBM System S: Not for Everyone (which appears on his Intelligent Enterprise blog), Neil raises concerns about some commentators’ expectations of this technology. If business intelligence is seen as having democratised information, then some people appear to feel that System S will do the same for real-time analysis of massive data sets.
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While intrigued by the technology and particular opportunities that System S may open up, Neil is sceptical about some of the more eye-catching claims. One of these, quoted in The New York Times, relates to real-time analysis in a hospital context, with IBM’s wizardry potentially alerting medical staff to problems before they get out of hand and maybe even playing a role in diagnosis. On the prospects for this universal panacea becoming reality, Neil adroitly observes:
How many organizations have both the skill and organizational alignment to implement something so complex and…
- Advertisement -
I have featured Neil Raden’s thoughts quite a few times on this blog. It is always valuable to learn from the perspectives and insights of people like Neil who have been in the industry a long time and to whom there is little new under the sun.
In his latest post, IBM System S: Not for Everyone (which appears on his Intelligent Enterprise blog), Neil raises concerns about some commentators’ expectations of this technology. If business intelligence is seen as having democratised information, then some people appear to feel that System S will do the same for real-time analysis of massive data sets.
- Advertisement -
While intrigued by the technology and particular opportunities that System S may open up, Neil is sceptical about some of the more eye-catching claims. One of these, quoted in The New York Times, relates to real-time analysis in a hospital context, with IBM’s wizardry potentially alerting medical staff to problems before they get out of hand and maybe even playing a role in diagnosis. On the prospects for this universal panacea becoming reality, Neil adroitly observes:
How many organizations have both the skill and organizational alignment to implement something so complex and controversial?
Neil says that he is less fond of sporting analogies than many bloggers (having recently posted articles relating to cricket, football [soccer], mountain biking and rock climbing, I find myself blushing somewhat at this point), but nevertheless goes on to make a very apposite comparison between professional sportsmen and women and carrying out real-time analysis professionally. Every day sports fans can appreciate the skill, commitment and talent of the professionals, but these people operate on a different plane from mere mortals. With System S Neil suggests that:
The vendor projects the image of Tiger Woods to a bunch of duffers.
I think once again we arrive at the verity that there is no silver bullet in any element of information generation (see my earlier article, Automating the business intelligence process?). Many aspects of the technology used in business intelligence are improving every year and I am sure that there are many wonderful aspects to System S. However, this doubting Thomas is as sceptical as Neil about certain of the suggested benefits of this technology. Hopefully some concrete and useful examples of its benefits will soon replace the current hype and provide bloggers with some more tangible fare to write about.
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You can read an alternative perspective on System S in Merv Adrian’s blog post about InfoSphere Streams, the commercialised part of System S.
Other articles featuring Neil Raden’s work include: Neil Raden’s thoughts on Business Analytics vs Business Intelligence and “Can You Really Manage What You Measure?” by Neil Raden.
Other articles featuring Intelligent Enterprise blog posts include: “Gartner sees a big discrepancy between BI expectations and realities” – Intelligent Enterprise and Cindi Howson at Intelligent Enterprise on using BI to beat the downturn.
Neil Raden is founder of Hired Brains, a consulting firm specializing in analytics, business Intelligence and decision management. He is also the co-author of the book “a consulting firm specializing in analytics, business Intelligence and decision management. He is also the co-author of the book Smart (Enough) Systems.
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Posted in business, business analytics, business intelligence, ibm, industry commentary, technology Tagged: actionable information, bi, business analytics, business intelligence, information technology, intelligent enterprise, neil raden, system s 
