In the Building and Sustaining a Team section of this book, we looked at how we can create a balanced team that can deliver data science solutions. Now, we will look at how we can find projects and problems that have real value. In this section of the book, we will look at data science management at a greater scale. We are moving on from team leadership to the area of data science project management. We will develop specific strategies and approaches so that we can find, manage, and deliver projects that are valuable for the business.
For most companies, data science and machine learning belong in the area of innovation. Unlike software development, these disciplines are terra incognita (unknown territory) for your customers and business stakeholders. If you approach data science projects like any other project, you will face many unexpected problems. The domain...
