Descriptive Analytics – Answers "What happened?" by summarizing past data.
Diagnostic Analytics – Answers "Why did it happen?" by identifying causes of trends or issues.
Prescriptive Analytics – Answers "What should we do?" by providing data-driven recommendations and optimal solutions for decision-making.
Prolific Analytics – This is not a recognized category in standard analytics models.
The model makes specific recommendations for store operations (extended hours, staffing adjustments).
It optimizes resource allocation based on demand patterns.
It goes beyond identifying past trends (descriptive) or diagnosing causes (diagnostic) and provides actionable solutions.
A. Descriptive – Would only summarize sales data but not suggest changes.
B. Diagnostic – Would explain why luxury stores see higher traffic on weekends but would not recommend actions.
D. Prolific – Not a standard analytics category.
IIA’s GTAG on Data Analytics – Describes prescriptive analytics as the highest level of business intelligence, driving decision-making.
COSO’s Enterprise Risk Management (ERM) Framework – Encourages data-driven decision-making using prescriptive models.
COBIT 2019 on IT Governance – Recommends leveraging prescriptive analytics for operational efficiency.
Types of Analytical Models in Business Intelligence:Why Prescriptive Analytics is the Best Choice?Why Not the Other Options?IIA References:✅ Final Answer: C. Prescriptive.
