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“We need a data scientist.”
- You’re a small company with a couple thousand customers and dozens of data points looking to learn more about your customers so that you can expand. Resources are likely better spent on acquiring data regarding your customers’ behavior outside of your site.
- You have a mountain of data and no reporting whatsoever. In this case, resources would be best used setting up a data warehouse, cube, etc. so that your relevant information can be easily accessed by stakeholders before determining what to do next. Give your interested parties concise reporting and base level insights first. Crawl, walk, run.
- Your company has numerous complexities with partially crossing business processes that create noise in any sort of basic “causation” analysis. If this is the case, you might already be in a “big data” environment, and a data scientist might indeed be a net positive acquisition for your company.
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