MBA business Analytics 4th sem SEP syllabus Bengaluru City University

1. Online Analytical Processing
(OLAP) in Business Analytics
A Key Tool for Data Analysis &
Decision-Making

2. What is OLAP?
• - OLAP = Online Analytical Processing
• - Technology for interactive, multidimensional
analysis of large data sets
• - Supports business decision-making with fast,
summarized data insights
• - Complementary to OLTP (Online Transaction
Processing)

3. Why OLAP in Business Analytics?
• ✅ Helps uncover trends and patterns
• ✅ Enables strategic planning & forecasting
• ✅ Allows quick answers to complex queries
• ✅ Supports better decision-making through
data insights

4. Key Features of OLAP
• - Multidimensional view of data
• - Fast query and retrieval performance
• - Interactive analysis: slice, dice, drill down,
roll up
• - Supports aggregated and summarized data

5. OLAP vs OLTP
• Aspect | OLTP | OLAP
• -------|-------|-----
• Purpose | Day-to-day operations | Decision-
making
• Operations | Insert, Update, Delete | Read &
Analyze
• Data | Current, transactional | Historical,
aggregated
• Speed | Fast writes | Fast reads

6. OLAP Operations
• Operation | What it Does
• ----------|-----------------
• Slice | Selects a single dimension (e.g., Sales in
2025)
• Dice | Creates a sub-cube (e.g., Sales in 2025,
Region = East)
• Drill Down | From summary to details (e.g.,
Year → Month)
• Roll Up | From details to summary (e.g.,
Month → Year)

7. Types of OLAP
• MOLAP (Multidimensional OLAP)
1 ️
1️⃣
• - Data stored in cubes, fast for summarized
queries
• ROLAP (Relational OLAP)
2️⃣
• - Data stored in relational databases, good
for detailed queries
• HOLAP (Hybrid OLAP)
3 ️
3️⃣
• - Combines MOLAP & ROLAP benefits

8. Business Applications of OLAP
• 📈 Retail: Analyze sales by region, product, &
time
• 💰 Finance: Monitor profitability across
branches
• 🏥 Healthcare: Track patient trends & outcomes
• 📣 Marketing: Evaluate campaign effectiveness
& customer segments

9. Advantages of OLAP
• 🌟 Fast query response
• 🌟 Interactive & intuitive for business users
• 🌟 Supports complex calculations & forecasting
• 🌟 Helps discover hidden insights in big data

10. Summary
• - OLAP enables fast, multidimensional analysis
of business data
• - Essential for business analytics & decision-
making
• - Complements transactional systems by
analyzing historical & aggregated data

11. Thank You!
• Any Questions?