Data modeling processes

Select one of the four data approaches:

  1. Descriptive Analytics,
  2. Diagnostic Analytics,
  3. Predictive Analytics, or
  4. Prescriptive Analytics.

Select a data approach within one of these and then provide an example of when this approach will be utilized. For example, when would artificial intelligence or machine learning be used in an accounting problem? Another example is where do you see descriptive statics (descriptive analytics)? And, when is profiling (diagnostic analytics) appropriate?

Be sure to post an initial, substantive response by Thursday at 11:59 p.m. MST and respond to two or more peers with substantive responses by Sunday at 11:59 p.m. MST. A substantive initial post answers the question presented completely and/or asks a thoughtful question pertaining to the topic. Substantive peer responses ask a thoughtful question pertaining to the topic and/or answers a question (in detail) posted by another student or the instructor.

Requirements: 250-500 Words

Answer preview

.  In another example, a healthcare setting can utilize graphical displays to understand the rate of emergency department admissions. In the process, the information provides corresponding statistics such as the date of occurrence, patient details, and the number of patients admitted.  Without this data, it can be challenging for the health facility to perform diagnostic analytics which establishes the root cause of a problem. Delen and Ram (2018) inform that a proper interpretation of the graphs, pie charts, and reports in descriptive analytics is fundamental. Notably, this creates a road map for other analytic approaches, such as diagnostic, predictive, and prescriptive analytics.

[300 Words]

Data modeling processes
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