You analyzed TerramEarth's business requirement to reduce downtime, and found that they can achieve a majority of time saving by reducing customer's wait time for parts. You decided to focus on reduction of the 3 weeks aggregate reporting time. Which modifications to the company's processes should you recommend?
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Correct answer: Increase fleet cellular connectivity to 80%, migrate from FTP to streaming transport, and develop machine learning analysis of metrics.
Why this is the answer
The core problem is the 3-week aggregate reporting time, which delays parts ordering. Increasing fleet cellular connectivity to 80% ensures more frequent and reliable data transmission from vehicles, reducing data gaps and improving real-time insights. Migrating from FTP (a batch-oriented protocol) to streaming transport allows data to be sent continuously as it's generated, eliminating the need to wait for large files to accumulate, thus drastically reducing reporting latency. Developing machine learning analysis of metrics can then process this real-time data to predict part failures or maintenance needs proactively, further minimizing downtime. Migrating from CSV to binary format (option 1 and 2) offers efficiency gains but doesn't fundamentally change the data transmission frequency or method, so it won't address the 3-week delay as effectively as streaming. Migrating from FTP to SFTP (option 1 and 4) only improves security, not speed or frequency. Increasing dealer local inventory (option 4) is a reactive measure that doesn't solve the root cause of slow reporting and could lead to increased inventory costs.
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