Problem Framing.docx - Problem Framing Tell a story a...

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Problem Framing Tell a story, a complete story The problem you address should be meaningful Solution could be reused for related problems Assumptions, boundaries Find an appropriate solution framework Break down the problem into pieces Iterative process (agile vs. waterfall) Identify appropriate analytical/modeling techniques Routinize the procedure Documentation Next similar question can be solved quickly Build a system (macros, codes, programs) do as much as you can as quick as you can
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Collection, Cleaning Data Communication, Analyses
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1. Descriptive What do we have? What happened? When? What types of customers do we have? Typical BI operational reports/dashboards Phone call metadata mining Customer profiling Visualizations Lots of natural science and clinical science 1. Explanatory Does smoking cause cancer? Does fake news spread faster than authentic news? Trying to understand a (causal) relationship T-tests (experiments) Regression analyses Econometric analyses Causal modeling Correlation Temporal precedence No confounding 1. Predictive What is likely to happen? What are expected costs?
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Linear regression Data mining Classification, decision trees Association Rules (market-basket analysis) Text mining Simulation EX Spare Parts Inventory Management Crew Scheduling Theft & Fraud Detection Demand Forecasting Weather Forecasting 1. Prescriptive Recommended actions & timing
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