Chapter 15
Gathering Important Information about Your Company
IN THIS CHAPTER
Focusing your data team on the business vision
Inventorying your company’s data technologies and resources
Mapping out the people and data skill set requirements
Preempting and preventing data science project failures
The success of prospective data science projects heavily depends on whether those projects represent an implementation of your company’s lowest-hanging-fruit use case — in other words, the most promising data science use case for your company, given its current capabilities with respect to data resources, technology, and skillsets. To ensure that your data science use case is the lowest-hanging fruit, though, you need to make sure that it offers the quickest and biggest bang for your company’s buck — especially when you and your company are novices when it comes to leading profit-forming data science initiatives. For a new data science initiative to offer a solid return on investment in a short period, it should be something that your company can implement using its existing resources.
To make ...
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