wireless

#20: Optimizing wireless internet expansion in the USA through big data analysis

Challenge description:

Imagine you have a client in the U.S. market, a telecom provider known for its prepaid mobile services. The company possesses extensive data on user subscriptions and network coverage but lacks the personal details of its users. The data includes specific locations where SIM cards were purchased and detailed network coverage by block ID. All other additional information about their client base is unknown and not provided.

The telecom provider is exploring the expansion of its services into mobile broadband, specifically targeting home internet provision. Your task is to analyze publicly available demographic and geographic information to propose potential locations for launching and testing these services. 

Your goal: Propose locations where your client should start selling Mobile Broadband Services: 

  1. Analysis of Public Data: Identify and utilize relevant public datasets to analyze potential locations and customer base.
  2. Geographic Decision-Making: Decide at which geographical level your client should start selling (is it state/city/district/block, etc.) and justify your decision.
  3. Strategic Proposal: Outline a clear, actionable plan that prioritizes areas with the highest need and potential for impact. On what data sets and what methodology you based your proposal on?

This challenge will require you to blend technical analysis with strategic thinking, offering a practical solution to real-world expansion challenges faced by a lot of telecom providers.