conversation about maximising value from customer insight

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

Customer Data: Is it the new Marketing Battleground?

Data and analytics are being called the new marketing battleground. Indeed, many experienced marketers are rushing to brush up on their technical knowledge. So, continuing our focus on applications of data & analytics, I’m delighted to welcome back Peter. Peter Lavers is Director of WCL and Customer Attuned. He is also regularly recognised as one of the top CX experts and influencers today. Time flies by and surprisingly, it’s almost.. Read More

Forget Big Data, what your customers want is Fast Data

Are you unsure if you’re missing out on the potential of Big Data to transform your business, have you considered Fast Data? For many consumer facing businesses, the speed of providing an easy service can be a key to success. So, I was interested to see this guest post from Robert Baldock. Thanks must also go to Paul Carroll, of Insurance Thought Leadership blog for sharing this with me. The.. Read More

Are insurers playing it too safe with data and analytics?

As we focus on business applications, let’s broaden our scope to review how data and analytics strategies are being implemented. Insurance is a conservative industry. It has certainly lagged other sectors, in terms of digitization and customer experience. But, insurance businesses have enthusiastically embraced data and analytics capabilities. As I talk to my insurance clients, most are actively engaged in building/improving this capability. Talking about this with our old friend.. 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