Knowledge Management and New Economy
Q1: How GDSS is related to Groupware? Explain
Q2: Differentiate between Executive Information Systems, Decision Support systems and OLTP.
Q3: Contrast between Data warehousing and OLAP
Q4: Explain the terms: data, text and web mining.
Q5: Contrast between knowledge discovery in database and data mining.
Q6: Discuss the importance of knowledge in a business organization.
Q7: Explain the process of decision making using an example.
Q8: Explain the concept and capabilities of Business Intelligence. Name some Business Intelligence tools available in the market.
Q9: What are decision support systems? Explain.
Q10: What are the advantages of GDSS? Support your answer with examples.
Q11: Contrast between data warehousing and Business Intelligence.
Q12: What is a data warehouse? Why do we need them? Explain.
Q13: Differentiate between OLTP and OLAP.
Q14: What is data cleaning? How can we do that?
Q15: Explain the architecture of data warehouse.
Q16: What are datamarts? How are they useful to a business organisation?
Q17: Differentiate between Data warehousing and Data Mining.
Q18: Discuss the following techruques of data mining: Genetic Algorithm, Neural Networks, and Association Rules.
Q19: What is the difference between data mining and SQL?
Q20: Discuss the applications of data mining in retail industry.
Q21: What is star schema? What are the major components schema?
Q22: Distinguish among data, information and knowledge giving examples.
Q23: Explain the processes of knowledge management i.e. knowledge generation, storage and sharing.
Q24: What is a knowledge management system? What are its benefits?
Q25: Contrast between knowledge base and database.
Q26: What are knowledge maps?
Q27: What are strategic decisions? Why are they important for an organization?
Q28: Explain why OLAP is a kind of modeling system.
Q29: A data mart can replace a data warehouse or complement it. Compare and discuss these options.
Q30: Explaln how neural networks help in mining of data.
Q31: Describe the knowledge based economy.
Q32: What is starflake schema? Differentiate between Factual and Reference data.
Q33: How are algorithms and heuristic search methods similar and how are they different?
Q34: What are the hardware and software requirements to build decision support systems?
Q35: Explain the roles of internet, intranet and extranet in building group decision support systems.
Q36: Draw and explain data warehouse architecture with special reference to banking sector.
Q37: Explain the architecture of expert system.
Q38: Describe the types of OLAP.
Q39: Explain the process of knowledge discovery in databases.
Q40: How data coding helps in data mining?
Q41: Explain the following techniques of data mining:
(a) Genetic Algorithms
(b) Case-based Reasoning
Q42: Discuss the applications of data mining in retail sector.
Q43: How are groupware technologies, data warehouse, data mining and artificial intelligence related to knowledge management?
Q44: Describe the process of knowledge generation and knowledge storage.
Q45: Suggest the knowledge management initiatives for universities.