Business Intelligence

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 Business Intelligence

Module 1: Introduction to Business Intelligence (8 Questions)

  1. Define Business Intelligence (BI) and explain its significance in modern organizations.

  2. Differentiate between Decision Support System (DSS) and Business Intelligence.

  3. Explain how computerized decision support improves managerial decision-making.

  4. What are the major tools and techniques used in Business Intelligence?

  5. Discuss the role of BI in business performance improvement.

  6. Explain the framework of managerial decision support.

  7. What are the changing business environments that drive the need for BI?

  8. Describe BI architectures with examples.



Module 2: Essentials of Business Intelligence (9 Questions)

  1. Explain the origins and drivers of Business Intelligence.

  2. What are the key characteristics of a successful BI implementation?

  3. Describe the process of architecting the data in BI.

  4. What is Enterprise Data Modeling? Explain its benefits.

  5. Discuss data granularity and its importance in data warehousing.

  6. Explain the concept of metadata and its types in BI systems.

  7. What are the critical factors for successful BI implementation?

  8. How does BI contribute to organizational decision-making?

  9. Write short notes on BI data sources and ETL (Extract, Transform, Load) process.



Module 3: Advanced Data Warehousing Principles (9 Questions)

  1. What is data warehousing? Explain its principles and architecture.

  2. Differentiate between OLAP and OLTP systems.

  3. Explain real-time data warehousing and its challenges.

  4. Discuss DW administration and security issues.

  5. What is a star schema? Compare it with snowflake schema.

  6. Explain fact tables and dimension tables with examples.

  7. How do relational DBMSs support dimensional modeling?

  8. Explain data aggregation and indexing techniques in DW.

  9. Describe the process of selecting a modeling tool and populating a data warehouse.



Module 4: Dimensional Modeling in BI Environment (9 Questions)

  1. What is dimensional modeling and why is it used in BI?

  2. Explain the steps involved in the dimensional model design life cycle.

  3. Discuss important considerations in dimensional modeling.

  4. Write short notes on business analytics and data visualization.

  5. How does real-time BI differ from traditional BI?

  6. What is a case study of BI analytics in decision-making?

  7. Explain how advanced analytics and web intelligence enhance BI.

  8. Describe the structure of mathematical models for decision support.

  9. Explain visual interactive simulation and its role in BI.



Module 5: Business Performance Management (14 Questions)

  1. Define business performance management and explain its purpose.

  2. Discuss the key components of performance management systems.

  3. What are BI applications in marketing analytics?

  4. Explain how BI supports logistic and production models.

  5. Discuss data development analysis in BI applications.

  6. How does BI enhance decision-making through KPIs and dashboards?

  7. What are marketing models used in BI performance tracking?

  8. Explain the use of predictive modeling in performance management.

  9. What are the challenges faced in BI performance management?

  10. Explain the difference between strategic and operational BI.

  11. Discuss the role of BI in supply chain management.

  12. Explain performance scorecards and their benefits.

  13. What is real-time performance management?

  14. Write a short note on BI applications in human resource analytics.

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