Data science in the wild: Barriers to successful data science

In my last blog post, I talked about the importance of establishing the right team for data science projects. Here, I'm going to talk about some of the barriers that can prevent successful adoption of data science. You can read my whole "data science in the wild" blog series here. Data scientists tend to work on loosely defined business problems that involve messy data combined with computationally intensive machine learning algorithms. It is, therefore, important to establish a data strategy.