Matt Ahlers shares a concise article on a talent strategy for data scientists. It’s not uncommon for firms to face several core challenges recruiting, developing, and retaining data scientists and technical leaders. Below are several reasons why: Hiring teams don’t really understand what they’re looking for. Data science is marketing genius but remains a foggy term when put into practice. For instance, a ‘data scientist’ could be an expert at developing applications that ingest real-time data streams and develops decision…

Matt Ahlers shares an article that may resonate with all who have a board to answer to. In this post, he explains why using big data is often the topic on the table.  Don’t they know how hard it is? Maybe, but no one said big data was clean and easy. In fact, most things described as ‘big’ are hard and daunting…except perhaps for Clifford, my daughter’s favorite fictional Big Red Dog. Some describe big data as simply a data…

Matt Ahlers asks the above pertinent question and stresses the importance of asking it before taking action.  Is it “Yes” or “Mostly Yes”? One way to tell is if you hesitate to re-validate all of your information before taking a leap or if you fail to act based on data presented. At best, this slows down decision making and at worst, it completely negates the value of collecting, storing, and organizing data in the first place. ​The importance of trusting…