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Making Sense of Data: A Practical Guide to Exploratory Data Analysis and Data Mining by Glenn J. Myatt

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2.7 SUMMARY

Table 2.1 summarizes the problem definition step.

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Figure 2.1. Project timeline

Table 2.1. Project definitions summary

Steps Details
Define objectives
  • Define the business objectives
  • Define specific and measurable success criteria
  • Broadly describe the problem
  • Divide the problem into sub-problems that are unambiguous and that can be solved using the available data
  • Define the target population
  • If the available data does not reflect a sample of the target population, generate a plan to acquire additional data
Define deliverables
  • Define the deliverables, e.g., a report, new software, business processes, etc.
  • Understand any accuracy requirements
  • Define any time-to-compute issues
  • Define any window-of-opportunity considerations
  • Detail if and how explanations should be presented
  • Understand any deployment issues
Define roles and responsibilities
  • Project leader
  • Subject matter expert/business analyst
  • Data analysis/data mining expert
  • IT expert
  • Consumer
Assess current situation
  • Define data sources and locations
  • List assumptions about the data
  • Understand project constraints (e.g., hardware, software, personnel, etc.)
  • Assess any legal, privacy or other issues relating to the presentation of the results
Define timetable
  • Set aside time for education upfront
  • Estimate time for the data preparation, implementation, and deployment steps
  • Set aside time for reviews ...

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