helping you master customer insight leadership

The most important skills for Data Scientists in businesses

Which are the most important skills, needed by analysts or data scientists? It’s an interesting question to ponder. It is tempting to fall back on technical basics, like statistical knowledge & software or coding skills. But most graduate data scientists or experienced analysts will be screened for those at recruitment. So, if you are leading an Analytics, Data Science or Insight team, where should you invest? My mind was prompted.. Read More

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 Science programming languages: (3) Resources for Julia

As promised, I’m returning to our series covering data science programming languages, this time-sharing resources for Julia. My first introduction to the Julia language, was mentions at R or Python events, that “the cool kids are writing in Julia these days“. Now, bloggers are always in danger of being on the look out for something topical or trendy, but further investigation revealed that Julia is indeed a useful language with.. Read More

Getting the most out of your Data Science team, pitfalls to avoid

During our month focussed on Data Science programming languages, my thoughts have turned to getting the most out of your Data Science team. This topic has arisen, because of what I’ve observed in a number of organisations seeking to implement Data Science. As I’ve worked with more clients and talked to other leaders at Data Science events, it has struck me how many fall into common pitfalls. These limit the.. Read More