EXAMPLES OF HOW TO USE THIRD-PARTY DATASETS TO MAKE SMARTER DECISIONS WITH A SEMANTIC LAYER
Senior Data Scientist SafeGraph
Co-founder & Chief Technology Officer AtScale
Today’s environment creates a heightened emphasis on accurate and robust business forecasts that anticipate needs such as changing a market from wholesale to retail, predicting product demand, and understanding product mix and product levels by store location.
Excel was designed for creating sophisticated models, but data extracts, joins, splicing and data wrangling can be painful and risky.
Join experts from SafeGraph and AtScale to learn how to turn Excel into a crystal ball for your business forecasting – painlessly.
You’ll learn how to:
Combine your data with public or purchased data to enrich insights
Build sophisticated time relative analyses like period to date calculations
Use Excel pivot tables against billions of data points for data exploration
Build a model that will automatically refresh at the cell level
And then you’ll be able to:
Understand the product mix and product level by store location
Model and forecast revenue and expenses
Use semi-additive measure for tracking inventory levels
Calculate per member per month KPIs
Who should attend:
Data Scientists, BI Analysts, Data & Analytics Leaders, Supply Chain & Logistics Professionals, Finance Analysts