The case for Data Science teams being more methodical and an overview of the 3 most established methodologies used by Data Scientists today. Part 1 of 2.
As you continually improve how your team works, are you protecting time for “Deep Work”? If you haven’t come across that phrase, it was coined by my latest recommended book. In “Deep Work“, author Cal Newport makes a great case for the importance of better concentration. He diagnoses our current malaise. Full of distractions from our phones/tablets/computers/connected devices, we fail to focus.
When should you use external consultancy? Are you wisely bringing in wider expertise, or wasting your money on people who won’t be around to see the consequences? Such a question plagues many analytics or insight leaders. Indeed I have spoken to many, over the years, who are frustrated by the speed with which directors turn to consultants. I’ve mentioned before the need to build the reputation of your team, to.. Read More
Reflections on a very effective internal seminar for Data & Analytics people at one of my clients. Lessons learnt on how internal events could work for you.
Once your analysts have a clear business question to answer, do they start new analysis each time, potentially ‘reinventing the wheel‘? After creating or leading data & analytics teams for many years, I began to notice this pattern of behaviour. What we seemed to lack was a consistent knowledge management solution or ‘corporate memory‘ that could easily spot what should be remembered. Funnily enough, as became convinced of the need for ‘holistic customer.. Read More