Diagnostic analytics

Introduction to Data Literacy

Anneleen Rummens

Data Scientist

Analytics overview

Analytics overview

Introduction to Data Literacy

Why use diagnostic analytics?

  • Find potential causes of events or reasons for behaviors
  • Investigate causal relationships
  • Suggest solutions based on the identified causes

 

Be careful: diagnostic analytics can suggest causes, but not prove causality on its own

Zoom-in of diagnostic analytics

Introduction to Data Literacy

Common techniques

  • Drill-down analysis
  • Correlation and regression analysis
  • Hypothesis testing
  • Root cause analysis

Exampe drill-down analysis

Introduction to Data Literacy

Root cause analysis (RCA)

Steps of root cause analysis

Introduction to Data Literacy

Case study: airline customer satisfaction

Why is customer satisfaction rate for the airline declining?

  • Identify keywords in complaints
  • Group complaints into categories
  • Investigate connections with other data

 

Use insights to suggest solutions for most common categories

Person filling in a satisfaction survey.

Introduction to Data Literacy

Let's practice!

Introduction to Data Literacy

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