Before adopting DataOps as a solution, it’s important to understand the problem we’re trying to solve. When you view articles online, hear presentations at conferences, or read of the success of leading data-driven organizations like Facebook, Amazon, Netflix, and Google (FANG) , delivering successful data science seems a simple process. The reality is very different.
While there are undoubtedly success stories, there is also plenty of evidence that substantial investment in data science is not generating the returns expected for a majority of organizations. There are multiple causes, but they ...
