Unit 8: Business Analytics
In today’s data-driven world, the ability to make smart, evidence-based decisions is more critical than ever. Business Analytics (BA) is the discipline that focuses on using data and statistical methods to gain insights and drive business planning and performance. It is the science of turning raw data into actionable knowledge.
Figure 1: Business Analytics Overview
flowchart LR
DATA["🗃️ Raw\nData"]
DATA --> DESC["📊 Descriptive\n'What happened?'"]
DESC --> PRED["📈 Predictive\n'What will happen?'"]
PRED --> PRESC["🎯 Prescriptive\n'What should we do?'"]
PRESC --> ACTION["✅ Data-Driven\nDecisions"]
style DESC fill:#1565c0,color:#fff
style PRED fill:#6a1b9a,color:#fff
style PRESC fill:#2e7d32,color:#fff
Figure 2: The Three Types of Business Analytics
This final unit explores the field of Business Analytics. We will begin by examining the nature of managerial decision-making and how analytics can support it. We will then walk through the business analytics process, from defining the problem to communicating the results. The core of the unit will focus on the three main types of analytics: Descriptive Analytics (what happened?), Predictive Analytics (what will happen?), and Prescriptive Analytics (what should we do?). Finally, we will look at the tools used to present analytical findings in a clear and compelling way.
What This Unit Covers
| Chapter | Topic | Key question |
|---|---|---|
| 8.2 | Managers and decision making | What decisions do managers make, and how does analytics help? |
| 8.3 | The business analytics process | What steps turn a business problem into an analytical answer? |
| 8.4 | Descriptive analytics | What happened? |
| 8.5 | Predictive analytics | What is likely to happen? |
| 8.6 | Prescriptive analytics | What should we do? |
| 8.7 | Presentation tools | How are findings shown in dashboards and reports? |
Why This Unit Matters
- Managers face more data than ever; the competitive edge comes from turning it into decisions faster and more accurately than rivals.
- Analytics replaces gut feeling with evidence for questions such as which products to stock, which customers may leave, and which loans are risky.
- Even if you never build a model, you will read dashboards and must judge whether an analysis is sound.
Key Terms
| Term | Meaning |
|---|---|
| Business analytics | Using data, statistics, and models to support decisions |
| Descriptive analytics | Summarising past data: reports, dashboards, and charts |
| Predictive analytics | Using past data to forecast future outcomes |
| Prescriptive analytics | Recommending actions, often through optimisation or simulation |
| Dashboard | A visual display of key indicators on one screen |
| KPI | Key performance indicator: a measure of progress towards a goal |
The Nepal Context
Banks in Nepal use analytics for credit scoring and fraud detection, wallets analyse transaction patterns, telecom operators predict which customers may switch, and retailers study sales by branch and season. Many small and medium firms still rely mainly on Excel, which is a good starting point for descriptive analytics and simple forecasts.
Key Takeaways
- Managers make structured, semi-structured, and unstructured decisions; analytics supports each kind by improving the information behind it.
- The business analytics process moves from a business problem to data, analysis, and an action that can be measured.
- Descriptive analytics explains what happened, predictive analytics estimates what is likely to happen, and prescriptive analytics recommends what to do.
- Dashboards, reports, and data visualization present findings so that decision makers can understand and act on them quickly.
- Analytics is only as good as its data and assumptions; managers must question both before trusting a result.
Unit Review Questions
Short answer
- Define business analytics.
- Distinguish between descriptive, predictive, and prescriptive analytics.
- What is a dashboard?
Long answer
- Explain the business analytics process from problem definition to communicating results.
- Discuss how organizations in Nepal can use the three types of business analytics, with examples.
