BI and Technology: Part II
Thanks to all of you who responded to my last post with thoughtful comments. Rather than respond to each in a Lincoln-Douglas style debate, as Kurt Schlegel suggested, let me shift the discussion a little. Instead of arguing that technology alone can't move BI along, I'd rather explore the issue of what can.
To be effective, BI has to focus on simplicity of operation to achieve pervasiveness in the organization and beyond it. The model is the Consumer Web, which provides only the necessary presentation to perform the tasks at hand, and relies on open standards and loosely coupled services to perform the functions, which can be reconfigured dynamically. In the same way the users of the Consumer Web are willing to pay little or nothing directly (except for purchases), the cost of BI has to drop drastically from expensive, front-loaded perpetual licenses to pay-as-you-go on demand schemes.
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Technology Is Not the Driver of BI Adoption
I'm having some problems with a March 20, 2008 article titled "Gartner: Emerging Technologies Will Help Drive Mainstream BI Adoption." This has been the Holy Grail of BI vendors for over a decade — to increase the number of "seats" using their products, widely reported to be about 20 percent of an organization but clearly much less than that. What troubles me the most about this article, or rather, about Gartner's analysis, is the supposition that new technology is going to crack this old chestnut. It won't. There are only two pieces of enterprise analytical software (broadly speaking) that ever gained currency in organizations in the past two decades — Excel and Google. Wouldn't it be a good idea to understand why?
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Posted Friday, March 28, 2008
10:16 AM
>>Comments
Get Real About Operational BI There is a lot of conflicting information about the term “Operational BI.” We need some research to sort out the jargon and propose a clear definition for the term (I’m willing). All of the following are being positioned as Operational BI (not a complete list):
• Data warehousing of operational data for reporting, with or without integration
• Replication of operational data for reporting
• Direct reporting from operational systems
• Federated reporting from operational systems
• Process Intelligence
• Inline integration
• Sensing applications
• Decision services
• Real-time BI
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Posted Monday, July 16, 2007
12:27 AM
>>Comments
Who Defines BI? Part II
These are extended responses to comments made in the original blog "Who Defines BI?"
Cliff Longman, CTO at Kalido, commented: "I think of BI as the car and data warehousing as the engine…Data warehouses should represent the historical view (and the "what if?" views as well if it is a business requirement) of data that a business relies on to judge its performance."
Cliff, we're pretty much in agreement. I think what we have is a problem of semantics (what a coincidence). We need to separate the data warehouse from data warehousing, which I think you did. The data warehouse is a repository of re-used information with historical context. Its use, going forward, will be diminished to some uncertain degree by advances in technology. It will not go away, at least not anytime soon. I have no quarrel with the data warehouse as a data source for reporting and analysis, but not as THE source.
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Posted Monday, April 16, 2007
8:57 AM
>>Comments
Who Defines BI?
I was more than a little surprised when I read the article "Think Critically When Applying Best Practices," by Bob Becker and Ralph Kimball. Unless I misread it, they have come around and defined BI as the total process, including data warehousing. This is something that the other prominent data warehousing guru's did a few years ago when, fearing they would miss the boat of the suddenly hot BI market, declared their IT-oriented data warehouse environment as BI. The fallacy in this is that the people who use BI were always conspicuously absent from the diagrams and descriptions of the data warehouse. Their architecture blueprints depicted "users" (and keep in mind that there are only two industries that call their customers users) as little stick figures crushed under the weight of their elegant, multi-colored architectures, or through demeaning models with names such as "Farmers."
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Posted Tuesday, April 3, 2007
9:01 AM
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