CS-8107 Business Intelligence Assignment 1 PDF
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2024
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Summary
This is a first-semester assignment for a Business Intelligence course, focusing on data warehousing, data mining and analysis. The document includes questions and prompts for the student to research and answer. It references specific articles and requires the student to gather information and apply concepts discussed in the course.
Full Transcript
CS-8107 BUSINESS INTELLIGENCE ME CSE 1st Semester Assignment -1 Date of Submission: 25.09.2024. 1. Survey the scientific, technology, and professional literature from the past six months...
CS-8107 BUSINESS INTELLIGENCE ME CSE 1st Semester Assignment -1 Date of Submission: 25.09.2024. 1. Survey the scientific, technology, and professional literature from the past six months to find application examples from the field of enterprise information systems and data warehouses where data mining and data analytics have been used for economic and financial purposes. 2. What is the difference between “traditional data mining” (in the context of data warehouses) and Big Data analytics? 3. Categorize the underlying data structure and the data processing of technologies as OLTP, OLAP, or Big Data analytics. 4. In the case of a project aimed at introduction of tools for BI, Data Analytics, and data science into an enterprise, which elements of the analytics ecosystems can and should be combined? 5. For the paper titled “Data Warehousing Supports Corporate Strategy at First American Corporation” (by Watson, Wixom, and Goodhue) go to : https://www.researchgate.net/publication/2385545_Data_Warehousing_supports_Cor porate_Strategy_at Read the paper, and answer the following questions: a. What were the drivers for the DW/BI project in the company? b. What strategic advantages were realized? c. What operational and tactical advantages were achieved? d. What were the critical success factors for the implementation? 6. Go to the article “Predictive Analytics—Saving Lives and Lowering Medical Bills.” https://pubsonline.informs.org/do/10.1287/LYTX.2012.01.03/full/ from January/February 2012 edition titled “Special Issue: The Future of Healthcare.” Read the article and Answer the following questions: a. What problem is being addressed by applying predictive analytics? b. What is the FICO Medication Adherence Score? c. How is a prediction model trained to predict the FICO Medication Adherence Score HoH? Did the prediction model classify the FICO Medication Adherence Score? d. Zoom in on Figure 4, and explain what kind of techniques applied on the generated results. e. List some of the actionable decisions that were based on the prediction results. 7. Go to the article “Big Data, Analytics and Elections,” of the January/February 2013 edition titled “Work Social.” https://pubsonline.informs.org/do/10.1287/LYTX.2013.01.03/full/ Read and answer the following questions: a. What kinds of Big Data were analyzed in the article Coo? Comment on some of the sources of Big Data. b. Explain the term integrated system. What is the other technical term that suits an integrated system? c. What kinds of data analysis techniques are employed in the project? Comment on some initiatives that resulted from data analysis. d. What are the different prediction problems answered by the models? e. List some of the actionable decisions taken that were based on the prediction results. f. Identify two applications of Big Data analytics that are not listed in the article. 8. Read the article “Just-in-Time Logistics: What It Means and Why It Matters” https://pubsonline.informs.org/do/10.1287/LYTX.2023.04.01/full/ answer the following questions: a. What are the problems being faced by JIT logistics? b. What strategic advantages were realized? c. What operational and tactical advantages were achieved? d. What were the critical success factors for the implementation?
