Business intelligence

I’m stuck on a Computer Science question and need an explanation.

Scenario

You are a team of IT professionals working at a Business Intelligence firm. You have been contracted to provide an organization (provide any name you wish for this organization) with a presentation on the benefits that a business intelligence solution could have for the organization. The organization has provided you with access to one or more of the databases to aid in the identification of potential benefits. In addition to providing a presentation on the general benefits of business intelligence and proposing a business intelligence solution (software tool), you will also need to identify one key problem that your team has identified from the data and research as one that you propose a business intelligence solution can solve. You should also provide at least one example of the type of information that your business intelligence solution can provide.

Choose at least one dataset provided to you by the organization. You may use or create any data you like, but here are some resources that may be helpful to you in locating a dataset. The dataset should actually be relevant to the project’s organization (or vice-versa).

https://sqlbelle.wordpress.com/2015/01/16/data-sets-for-bianalyticsvisualization-projects/

You will also need to select an Online Analytical Processing (OLAP) software solution that your team proposes to use. Many OLAP tools are available in a trial version (though some may take you longer than we have to activate).

Your paper should include the following components:

  • A general explanation of what business intelligence is
  • The type(s) of data in your data set
  • How the data is housed and any proposals for potentially consolidating it
  • How the data was, or will need to be prepared
  • The OLAP software solution your team is proposing to use including features it offers (dashboard, “What if” analysis, interactive reports, etc.)
  • How your chosen OLAP software differs from its competitors and why you chose it
  • A model used in your analysis of the data




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