Information Technology (IT) professionals assume that most organizational problems are solvable by technology. These professionals mostly work in back office operations and do not directly interact with clients. The results of a technology driven mindset is that the promoted solutions are always what is best in the short term. The nature of technology rapidly changes. However, IT professionals concern more with the simplification of manual tasks to reduce any complexity. Thus to an IT professional the solution to the identified challenge comes ahead of the means to procure the solution .
Most existing business intelligence systems concentrate on the inner workings of the organizations. Therefore, for the IT professionals working on the system, it appears that there is no need to have a people directed outlook. Instead, the IT professionals in this case continue to fine-tune the technology-centric outlook that they already have in the hope that they would obtain solutions that are more efficient. The actual problem for IT professionals is that they refuse to discard their already existing IT centric mindset. IT professional do not see the link between business intelligence and core business process. As a result, they miss how business results are achieved using a combination of the two. Their demise from a business-centric mindset has to do with their initial thought that business functions due to the technology present rather than the relations that make the technology useful.
IT provides business intelligence tools that facilitate the building on a decision making engineering culture. IT is customizable and therefore organization leadership can guide the development of prototypes that demonstrate the benefits of structured approaches to decision making. With the demonstration, organizations convincing is easier because benefits in the bottom-line performance are measurable. IT provides information and analytical applications that facilitate the embracement and implementation of business intelligence to create business value. Without the technical and analytic capacity of IT decision making engineering culture would be slow and difficult to develop .
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