CASE STUDY #1

Phase 1: Understand the Organization

• What are the consequences for not meeting service obligations?
• What are the escape clauses and constraints in case of a catastrophic event?

Phase 2: Understand the Data

• How reliable is the data for processing time increase?
• What is the unit of measurement for data?
• Is data on time continuous or dicrete?

Phase 3: Prepare the Data

• What application will be used to prepare the data? Excel, Qlik, Tableau, Python, R?

Phase 4: Analyze and Interpret the Data

• Loss models? Poisson or markov processes?
• Scenario analysis of worst, normal, and best cases?

Phase 5: Evaluate the Analysis

N/A

Phase 6: Communicate and Deploy the Results

• Who is our audience (technical or non-technical)?
• Formal or informal presentation of results?
• Use of charts and graphs to communicate results?
• Should we have a dashboard of the key performance indicators (KPIs)?
• How will this affect employees, investors, suppliers, creditors, government, customers?