Business Intelligence

DS - 431T

Unit Wise Notes Click Here Download Syllabus

CO / CO-PO Mapping

Course Objectives :

1. To understand the basics of business intelligence, business decisions, data warehouses and its architecture, KDD process.

2. To understand the applications of data mining in business, data mining techniques for CRM, text mining and web mining.

3. To acquire knowledge in business intelligence, application in various domains and best practice.

4. To understand the knowledge management, its architecture, approaches and tools.

CO-PO Mapping

Lesson Plan CO-P0 Mapping Justification

Unit -I

Introduction to business intelligence and business decisions

Unit -II

Applications of Data Mining in Business- DSS,EIS in Business

Unit -III

Business Intelligence, Function, Process, Services & Tools,

Unit -IV

Principle of KM, Knowledge Management Architecture

Sample Question Bank:

Q1. What are the ten key principles of Knowledge Management? Explain with examples.

Q2. How does treating knowledge as an asset benefit an organization?

Q3. Why is a knowledge-sharing culture important in KM? Give real-life examples.

Q4. Explain how knowledge is dynamic and how organizations can manage this challenge.

Q5. What role does technology play in KM? Provide examples of tools used in KM.

Q6. How does KM support decision-making in an organization?

Q7. What are the barriers to effective knowledge sharing in organizations?

Q8. Compare explicit knowledge and tacit knowledge with examples.

Q9. How can organizations incentivize employees to participate in KM initiatives?

Q10. Discuss the impact of KM on innovation and business success.

Q6. Mid Term Question Paper 2024-25 ( SEPT )

Practice Question Paper (Unit Wise)

Q1. What is Knowledge Management Architecture? Explain its components.

Q2. Describe the different layers of KM architecture with examples.

Q3. How does KM architecture support knowledge sharing and retrieval?

Q4. Explain the relationship between KM architecture and IT infrastructure.

Q5. What are the key challenges in designing a KM architecture?

Q6. Discuss the role of data warehouses in KM architecture.

Q7. Compare centralized and decentralized KM architectures.

Q8. How do cloud-based KM systems impact KM architecture?

Q9.Explain the role of metadata and indexing in KM architecture.

Q10. What are the security considerations in KM architecture?

Q11. Differentiate between Knowledge Management and Knowledge Processing.

Q12. How does Knowledge Processing contribute to decision-making?

Q13. Explain the role of Artificial Intelligence (AI) in Knowledge Processing.

Q14. What are the key steps in Knowledge Processing? Provide an example.

Q15. Discuss the importance of knowledge validation in Knowledge Processing.

Q16. Compare knowledge acquisition and knowledge dissemination.

Q17. How does machine learning impact Knowledge Processing?

Q18. Explain the difference between structured and unstructured knowledge.

Q19. How can organizations automate Knowledge Processing?

Q20. Discuss the challenges in Knowledge Processing.

Mid Term Question Paper -1

Mid Term Question Paper- 2

End Term Question Paper

Teaching Pedagogy