Business Analytics Methods and Models

There are various methods and models within business analytics. These are categorized into descriptive, predictive, and prescriptive analytics.

The process of reducing data and summarizing historical data to make decisions from past behaviors is known as descriptive analytics.
With predictive analytics, both historical and recent data are examined to discover patterns and predict what might happen in the future.
Prescriptive analytics goes one step further by showing the outcome of what a particular plan of action might look like and the effect of future decisions that might be made based on the model and plan of action.

Build a visualization (table, chart, infographic, etc.) showing the differences between descriptive, predictive, and prescriptive analytics. Keep in mind there are several tools used in each method and some may overlap. Explain the purposes of each data processing method.

Refer to the rubric for detailed grading criteria.

Deliverable Requirements
The percentage of the deliverable(s) that meet the assignment’s requirements.
50.0 pts
Excellent
The deliverable(s) met ALL of the assignment’s requirements.
45.0 pts
Very Good
The deliverable(s) met MOST of the assignment’s requirements.
40.0 pts
Satisfactory
The deliverable(s) met MANY of the assignment’s requirements.
35.0 pts
Near Failing
The deliverable(s) met SOME of the assignment’s requirements.
0.0 pts
Failing
The deliverable(s) did NOT meet ANY of the assignment’s requirements.
50.0 pts
This criterion is linked to a Learning Outcome Quality of Deliverable(s)
The overall quality of the deliverable(s) with regard to the composition and detail.
25.0 pts
Excellent
The composition and detail of the deliverable(s) was at a VERY HIGH level.
21.0 pts
Very Good
The composition and detail of the deliverable(s) was at a HIGH level.
17.0 pts
Satisfactory
The composition and detail of the deliverable(s) was at a MODERATE level.
13.0 pts
Near Failing
The composition and detail of the deliverable(s) was at a LOW level.
0.0 pts
Failing
The composition and detail of the deliverable(s) was at an UNSATISFACTORY level.
25.0 pts
This criterion is linked to a Learning Outcome Accuracy of the Deliverable(s)
The accuracy of the values presented in the deliverable(s).
25.0 pts
Excellent
ALL of the data in the deliverable(s) was accurate.
21.0 pts
Very Good
MOST of the data in the deliverable(s) was accurate.
17.0 pts
Satisfactory
MUCH of the data in the deliverable(s) was accurate.
13.0 pts
Near Failing
SOME of the data in the deliverable(s) was accurate.
0.0 pts
Failing
NONE of the data in the deliverable(s) was accurate.
25.0 pts
Total Points: 100.0

Sample Solution

ACED ESSAYS