Data Analysis Process

  1. Define Objectives and Questions
    • Define objectives and metrics to measure success
    • Define clear and specific questions that the analysis should answer
  2. Data Collection using Data Mining techniques
  3. Data Preparation
  4. Use of Data Analysis Methods to analyze data.
  5. Data Interpretation and Visualization
    • Data Interpretation requires domain knowledge, such as business knowledge in Business Intelligence (BI).
    • Some applications of data analysis may only use the results as feed to other systems or user applications.
  6. Data Storytelling
    • Presenting the results in a narrative format that is engaging, easy to understand and suitable for decision makers.