After completing this lesson, you will be able to:
Business Analytics is generally divided into four major categories: Descriptive, Diagnostic, Predictive, and Prescriptive Analytics. Each type answers a different business question and helps organizations move from understanding the past to making better future decisions.
These four types work together to help businesses analyze historical performance, identify root causes, forecast future outcomes, and recommend the best possible actions.
Descriptive Analytics summarizes historical data to explain what has happened in a business. It is the most common type of analytics and forms the foundation for all other analytical methods.
What happened?
An e-commerce company reviews last month’s sales dashboard and discovers that electronics sales increased by 20% while clothing sales decreased by 10%.
Diagnostic Analytics investigates historical data to determine why a business event occurred. It identifies root causes by using drill-down analysis, segmentation, and correlation techniques.
Why did it happen?
An online retailer notices a decline in mobile purchases. Further analysis shows that a recent website update increased page loading time, causing customers to abandon their shopping carts.
Predictive Analytics uses historical data, statistical models, and machine learning algorithms to forecast future business outcomes. It estimates the probability of future events before they happen.
What is likely to happen?
A retail company predicts increased winter clothing demand using historical sales and seasonal trends, allowing warehouses to stock products before peak demand begins.
Prescriptive Analytics recommends the best course of action by combining predictive models with optimization techniques and business rules.
What should we do?
An airline uses Prescriptive Analytics to recommend the best ticket prices and determine the optimal number of seats to overbook in order to maximize revenue while minimizing customer inconvenience.
| Analytics Type | Business Question | Primary Purpose |
|---|---|---|
| Descriptive | What happened? | Summarize historical data. |
| Diagnostic | Why did it happen? | Identify root causes. |
| Predictive | What is likely to happen? | Forecast future outcomes. |
| Prescriptive | What should we do? | Recommend the best actions. |
Organizations typically use all four types of analytics in sequence.
The four types of Business Analytics represent different stages of decision-making. Organizations first understand what happened, then identify why it happened, predict what may happen next, and finally determine the best actions to take. Businesses that effectively combine all four analytics types gain better insights, reduce risks, improve efficiency, and achieve sustainable growth.
In the next lesson, you will learn The Business Analytics Lifecycle and understand how organizations transform business problems into data-driven solutions using a structured analytics process.