Ask
Login
0
11kviews
Explain business Intelligence issues?
written 8.4 years ago by gravatar for prachi.sagar prachi.sagar • 420 modified 2.9 years ago by gravatar for sagarkolekar sagarkolekar ★ 11k
data mining and business intelligence
ADD COMMENT EDIT
1 Answer
0
264views
written 8.4 years ago by gravatar for prachi.sagar prachi.sagar • 420
  • Following are the key business intelligence issues divided into two categories:

  1. Organizations and People:

    • Management within our organization are not convinced that data driven or evidence based decisions really works for them.

    • There is no clear overall business strategy laid out with objectives and measures related to those objectives to assess business progress.

    • IT personnel are overloaded and have no resource available to source the data we need for our Business Intelligence system.

    • There are no incentives for the staff within organization to improve the performance of the business either using BI or not.

    • The business is in a state of stress or high change or flux. There is no apparent or perceived time to establish a BI system.

    • The eventual consumers of the BI system do not really know what they want from a BI system until they see it.
    • It experts building the system do not really understand the business, and so many changes are needed to have the system accepted by the organization.
    • The company does not have sufficient expertise or it is not able to hire such expertise to manage a project implementation on time and within budget or to design the system adequately.

  2. Data and Technology:

  • The data of the organization is not clean and the time and effort to correct this or handle this, destroys the success of the BI project.

  • The BI technology chosen turns out to be so rigid and painstaking to change that it takes too long and costs too much to complete the project on time.

  • The BI technology used deters use of the system because:

    1. The quality of the presentation or visualization of the information is poor or limited.
    2. The response times (speed) to present the data is too slow and not acceptable.
    3. The flexibility to ask new questions of the BI technology is limited or too difficult or time consuming to do for either the End Users or BI expert.
ADD COMMENT EDIT
Please log in to add an answer.