Unit 10.9: Data Analytics | IT 231 BBA Slides

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Unit 10.9

Data Analytics

IT 231: IT and Applications (BBA)

What is Data Analytics? 📊

The systematic computational analysis of data to discover useful information, inform conclusions, and support decision-making.

🔬 Data Science
The discipline

⛏️ Data Mining
The excavation technique

📈 Data Analytics = Examining & interpreting the results

The 4 Types of Analytics

1. Descriptive 📋

"What happened?"
Sales reports, dashboards.

2. Diagnostic 🔍

"Why did it happen?"
Root cause analysis.

3. Predictive 🔮

"What will happen?"
Forecasting with ML models.

4. Prescriptive 🎯

"What should we do?"
Recommending the best action.

Real-World Applications

  • Marketing: Optimizing ad spend by analyzing campaign performance.
  • Finance: Fraud detection using pattern recognition.
  • Supply Chain: Demand forecasting to prevent stock-outs.
  • Nepal Context: Banks like NIC Asia use analytics to assess loan risk.

Thank You & Q&A

Next: Digital Economy