conversation about maximising value from customer insight

Listening to 31 Data Scientists and Seeing 10 companies’ applications

To complement the perspectives of our recent guest bloggers, today I’m sharing three ways of listening to data scientists. These will include a (potentially) free recommended eBook, an engaging blog post and a punchy video. Peter, Robert & Francesco have made a case for data & AI potentially transforming businesses & sectors. As part of our month focussed on applications of data & analytics, I also want to share real.. Read More

Questionable practices by Data Scientists – where do you stand?

Just because you can, doesn’t mean you should; this is perhaps the simplest way to introduce questionable practices. Last year we posted on the desire amongst many data scientists to achieve social good through their work. As for all disciplines, there is also a potential “dark side“ to the capabilities of data scientists. So firms have or still do seek to use data as a weapon or persist with questionable.. Read More

Beyond the coding, here are some personal Data Science stories

I hope you’ve found this month’s Data Science content to be useful, as I’d also like to share with you some personal Data Science stories. To complement the technical resources I’ve shared recently, it’s important to also focus on the people side. Customer Insight Leader exists to encourage and inform more holistic customer insight leaders, covering the disciplines of data, analytics & research, as well as the requisite leadership skills… Read More

Mango share some keys to Data Science readiness

Following on from our series on programming languages, I’m delighted to introduce a guest post on Data Science readiness. Having the strategy or aspiration to make use of Data Science is one thing, executing it effectively is another. Too many businesses I know have hired data scientists without really knowing what to do with them or what they need to succeed. So, I’m pleased to introduce a new guest blogger… Read More

Data Scientists 2.0, you’ve heard the case, now what can you do about it?

Following on from guest blogger Michael Young’s first post on Data Scientists 2.0, this one shares next steps. MBN chairman, Paul Forrest, builds on what Michael revealed as the learning points for employers, universities & students (from Data Science placements in Scotland). In this shorter post, Paul considers key questions for both employers and students: How can employers find these new (improved) Data Scientists 2.0? How can students currently studying.. Read More

Data Scientist 2.0, who they are, and what’s going on in Scotland?

I’ve had the pleasure of working with Michael Young and his team at MBN Solutions over the last decade. As I mentioned in a previous post on recruitment, I’ve found them to stand apart as a recruitment agency that actually understands this space. So, I was delighted to be offered this guest blog post, by Michael, on the work they are supporting (with The Data Lab) to understand and place.. Read More

Understanding Data Science & how to develop your Data Scientists

In previous posts we have cautioned against assuming you need a Data Scientist. With so much hype still surrounding the term, leaders confess to as much confusion as any clear strategy as to how to use such a capability. However, creation of Data Science teams continues at a pace & plenty of graduate analysts are now starting their career saddled with the label of data scientist. Given this obvious need.. Read More