helping you master customer insight leadership

Is that tempting technology really useful to your business?

Unless it proves useful to your business, it was a distraction. Recent posts have focussed on advice when using Data Science or Data Visualisation. Now it’s time we returned to focussing on commercial realities. One lesson, I learned as a senior customer insight leader, was not to get distracted by what one CEO called “hobbies”. By that, he meant ideas, passions or technical innovations that, whilst interesting, are not relevant.. 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

Which trends for 2017 should data & analytics leaders consider?

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

Why Mr Claus wants Big Data Analytics for Christmas

At this festive time of year, I’ve been scouring online for relevant seasonal wishes. Here is one such wish by Santa Claus, that also suits a few Customer Insight Leaders that I know. Reading several blogs, I was delighted to find that such a seasonal take on the need for data analytics was published by my friends at Mango software. Experts & local advocates in the use of R programming language for.. Read More

Why data lakes, what you wear & your tools all matter

Perhaps, like me you’ve been a late comer to believing there is anything in buzzwords like Data Lakes? Along with all the hyperbole surrounding Big Data & the Data Science, it’s easy to write-off a whole new language because of some over-selling. It’s also been galling, for those of us who have been working in data analytics for decades prior to it becoming fashionable, to put up with listening to.. Read More

How to engage Customer Experience with Big Data

How do Customer Experience leaders see the role of data? What common cause could Insight leaders have with their CX peers’ data needs? To help us answer that question, I’m delighted to welcome back guest blogger & friend of CustomerInsightLeader, Annette Franz. Here’s her perspective from a career spent shaping better customer experiences: What is big data? and how is it used to deliver a great customer experience? “Big data”.. Read More

How are Big Data & Analytics really being used by Insurers?

Another week, another conference, this time it was Big Data & Analytics for Insurance. To start, I was running a pre-conference workshop (as mentioned previously) on how Customer Insight can help mitigate Conduct Risks for insurers. Good to get active engagement from delegates and once more see how relevant analytics & research are to embedding best practice marketing that provides (as BAU) better outcomes for your customers. After that workshop.. Read More