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
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
Guest blog post from Mark Sellors of Mango Solutions. Practical tips, to ensure you have prepared well, to achieve Data Science readiness.
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
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
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
Despite the warnings from Tony, I am going to risk sharing viewpoints on trends for 2017 (this time in the world of data & analytics). However, as with our previous collection for research, this is not intended to be a definitive forecast (if that isn’t an oxymoron anyway). Rather, I’m sharing this content in order to prompt topics for data & analytics leaders to consider. So, if you are currently pulling together.. Read More