Posted by & filed under Business Intelligence, Software, System development.

Description: I.B.M.’s announcement Monday that it is buying Netezza for $1.7 billion highlights how much the fast-growing field of business intelligence is increasingly both a hardware and a software technology.


Date: Sept 20, 2010

The term “business analytics,” of course, is the branding upgrade that has been given to business intelligence.

Whatever. Both terms, in English, refer to using computing to pluck useful answers and business insights from the explosion of data that is being created by the Web, sensors, e-mail, purchase transactions, call center reports and other sources.

Until recently, business intelligence had been seen as mainly a software technology. Data was stored in data bases, and the clever business intelligence software was sent in to probe the data bases for answers. Click here for rest of story

Questions for discussion:

  • What is B.I and why is it important to an organization?
  • What is the evidence that this is a growing market and area of concentration for businesses?
  • Do you consider the B.I. tools “disruptive technology”? Why? or Why not?

One Response to “I.B.M.’s Hybrid Strategy in Business Intelligence”

  1. Alfonso DeCicco

    Business intelligence is a huge category of application and technology used to gather,store,analyze data to provide users and business’s with reliable information to improve the decision making process. This is important in an organization because it helps a business get right down to the core issue and develop a decision on the correct solution to the problems and analyze trends, etc.
    The evidence that this is a growing market is the fact that its has been proven to increase overall revenues of a company, IBM is well known for this and have been very successful in the past. The real evidence is clear with the amount of people that do data mining, olap, and modeling in every industry. for example supply chain management.
    Well I’m kinda in the middle grounds of this being disruptive because there is open source BI software out there and it isn’t tailored for everyone. it leads to an undeserved market for early adopters of the the technology, and since they are very expensive systems to have customized they can lead to unmet needs of an organization and require lengthy investment

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