March 30, 2017

Chicago: Data Modeling

Pulling raw data and modeling it for insights through various tools has been something I have focused on since my master’s program.  Data modeling is about outcomes and presenting those outcomes in a digestible format. The best way for us to start modeling data is with a hypothesis based approach to the data. Searching for specific questions you have about your business or website takes a lot less time and has a higher likelihood of coming up with outcomes.

Data Mining: We look at your entire data set for multiple relationships among variables to find valuable insights. With this approach we are not always sure of what we will find and can be an iterative process.

Data Models Produced:

  • Linear Regressions
  • Decision Trees (Image Above)
  • Correlation Matrix’s
  • Confidence Intervals
  • Cross-Tabulations
  • Cluster Analysis
  • Neural Networks
  • Logistic Regressions
  • Naive Bayes
  • Apriori

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What is Machine Learning