Following Up on Like-for-Like for Stores: Handling PY

1. 1Review initial Like-for-Like implementation for stores
2. 2Identify additional requirements and potential issues
3. 3Discuss with peers and clients to refine the solution
4. 4Update the solution to handle new requirements, such as PY (previous year) data

Data scientists and analysts on a team can benefit from understanding how to implement and refine Like-for-Like solutions for stores, as it can inform business strategy and improve decision-making

💡 Handling additional requirements, such as PY data, is crucial for accurate Like-for-Like analysis

📈 Refine your Like-for-Like store solutions by handling additional requirements