Data Analytics in Excel

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Presentation transcript:

Data Analytics in Excel Albert J. Moore, ASA, MAAA Ohio National Financial Services Chairman, SOA Technology Section

Overview Review Important Features of Excel Introduce Case Study #1 – Mortgage Clawback Assignment #1 – determine profitability by adding investment return Case Study #2 – Mortality Data Assignment #2 – perform regression analysis Case Study #3 – Data manipulation Final Topics – Q & A

Important Features of Excel Useful Functions Countif, Sumif, etc. Text handling Data manipulation Importing of Data Text to Columns Sorting Filtering, Grouping, Subtotaling What if analysis, Solves Data Table Goal Seek, Solver Visualization Conditional Formatting Charts Pivot Tables

Case Study #1 Presentation of Mortgage Clawback Creation of the model Refining Assumptions Summarizing Results Application : Add Investment return to the model (20 minutes for participant assignment)

Case Study #2 Mortality Study Review Data Employing the Analysis TookPak Regression – Mortality Data 20 minutes for participant assignment

Case Study #3 Data Manipulation Assignment for participants Useful Techniques for assignment Feedback and Questions on Data Manipulation

Final Topics Macro Programming Best Practices for Excel Design Resources Online Professional Standards of Practice Final Questions and answers

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