Following Up on Like-for-Like for Stores: Handling PY
The article discusses an issue that arose after implementing a Like-for-Like (L4L) solution for stores, which brought additional requirements to the initial solution.
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Why it matters
Understanding how to handle evolving requirements is crucial for effective data science solutions in the retail industry.
Key Points
- 1The author's previous article was about implementing L4L for stores
- 2After discussing the solution with peers and clients, an interesting issue was encountered
- 3The issue brought additional requirements to the author's first L4L solution
Details
The article is a follow-up to the author's previous work on implementing Like-for-Like (L4L) for stores. After discussing the initial solution with colleagues and clients, the author encountered an interesting issue that required additional requirements to be addressed. The article aims to discuss this new development and how it impacted the original L4L solution.
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