Student note : chosen finalist project - IBM Predictive Analytics Reduces Server Downtime provided the research pdf file and youtube link as well for the project provided the supporting PPT files

as well if tutor wants something to be refered Tutor need to go through the 2020_IBM pdf file and youtube video. and write a report which covers all the guidelines present in the document 5 pages single spaced/n Course Project • The goal of the course project is to provide an exposure to the real-world application of prescriptive analytics. ● As part of the project, you will study a real- world application from the Franz Edelman award for achievement in Advanced Analytics. • The Franz Edelman award is widely considered as the Noble prize (or the Oscars!) of advanced analytics. ● Edelman finalist teams have improved organizational efficiency, increased profits, brought better products to consumers, helped foster peace negotiations, and saved lives. Course Project Deliverables 1. Browse the list of Edelman award finalists in the last 5 years. Pick one finalist project to explore in depth. [Project picked: IBM Predictive Analytics Reduces Server Downtime] (Attached published paper pdf 2020_IBM) 2. Watch the Edelman award finalist presentation of the project that you picked. [2020 Edelman Finalist: IBM (youtube.com)] 3. Read the corresponding finalist paper published in the Informs Journal on Applied Analytics. 4.Carry additional research associated with the project on the web. 5. Make an project report which need to cover the below guidelines. Project guidelines Project selected should have an element of optimization and/or simulation as a tool. (Note: Not all Edelman projects have these tools) • You should clearly identify the goal/objective of the project. Write a problem statement for the project based on the material that we covered in the class ● Identify the managerial decisions for which the project applied prescriptive techniques • What was the primary prescriptive tool/technique (optimization/simulation) used in the project? • What was the real-world impact of the project? Additional guidelines ● Draw an influence chart based on your understanding of the project that links decisions to the objectives of the project What data was collected for this project? Where did this data come from? How large was the data? Was this readily available or did it require significant effort to collect this data? Describe the prescriptive method used in the project If it's an optimization model, what type of Optimization (Linear, Integer, Mixed, Non- linear, etc.)? What was the objective? What were the decisions? What were the constraints (ABC's of optimization)? If Simulation was used, what method was used (Monte Carlo?)? What was the risk/randomness evaluated by the model? How did this influence the decision? • What software was used to support the project? Was a commercial solver used or was a home-grown system developed? How much did it cost? What was the scale of the problem solved? How large was the problem? How many decision variables? How many constraints? How long (in computational time) did it take to solve? • What were the implementation challenges encountered in the project? • What were the managerial insights derived from the project? Can this project/insight applied to other companies/industries/products in your opinion?