conversation about maximising value from customer insight

Curating a Big Picture, why research teams need to learn how

Big PictureResearch teams can be mistakenly viewed as simply research buyers or just project managers, for a number of reasons, including a lack of curating a big picture.

I’m sure anyone leading a research or customer insight team can relate to the problems of such misconceptions. But, what do I mean by ‘curating a big picture‘?

In many ways, this is an extension of the points I previously made on knowledge management, but with a focus on research teams.

Here, I’ve seen two elements that can be lacking.

Firstly, insufficient context and secondly, a lack of remembering and connecting what has been learned previously. In this post, I’ll briefly share some advise on both elements. (more…)

Research innovations, embracing new technology and methods

research innovationsAs our focus returns to Customer Research, here is a quick review of research innovations on show across the world.

Previous posts have highlighted that although Data Science might get all the press for innovation, in fact many technological & methodological innovations are happening in the world of market & consumer research.

Recent months have focussed on technological innovations (like blockchain), data science & data visualisation. As well as balancing our content with leadership focussed advice, I also want to ensure we stay true to our definition of Holistic Customer Insight (including research, as well as data & analytics).

So, let’s see what I found as I searched my favourite customer research blogs to check for innovations. (more…)

Data Visualisation books – our third set of resources for you

Data Visualisation booksDuring our month with more focus on Data Visualisation, we should not overlook data visualisation books.

I hope our previous posts, focussing on Data Viz blogs and twitter experts have helped your personal development. But, even in this digital age, we should not overlook the power of books.

Whether you invest in hard copy or digital versions, the longer form of books often give opportunity to better structure information for self-development. So, to complement those earlier resources, in this post I am going to recommend a number of books from 9 experts.

Many of these experts are the same people I have recommended for blogs & tweets, but there are 4 new experts. I’ll leave you to spot which are different. Plus, enjoy this treasure trove of 11 data visualisation books from 9 Data Viz experts. (more…)

Working towards the Virtuous Cycle: latest research on trust & data sharing

A Virtuous CycleLast week, after a very tasty bacon butty, I was sharing on the topics of Trust, Data Sharing & Identity Management, working towards recommending a Virtuous Cycle of improvement. All in the fine surroundings of the Royal Institute.

It’s been a pleasure this year to partner with MyCustomer.com, to deliver a number of breakfast briefings. This one was more substantive, as it was also to reveal the findings of my latest UK consumer research, sponsored by ForgeRock.

I revealed the findings of our new research into digital identities, consumer trust and the virtuous cycle of improvement (more on this later).

That research, detailed in a white-paper published here, explores the pain points consumers experience with brands online, and how these experiences affect the trust they have with these brands.
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Data Visualisation tweets: Top Nine experts to follow on Twitter

Data Visualisation TweetsAs promised in an earlier post, sharing recommended blogs, it’s time to move onto data visualisation tweets.

In this post, I’m going to recommend some Data Visualisation experts to follow on Twitter, both because of their own content and the wider resources they curate and share.

I hope you found the previously recommended blogs useful. If you are serious about improving your (or your team’s) data visualisation skills, I would recommend considering joining the DataIQ Leaders programme. In December, I’ll be running another one day workshop for them, sharing design principles, tips & tricks for data visualisation. The content does not require specialist tools, but focuses on improving data visualisation design thinking for any analyst, even if just using Excel.

Anyway, enough time pitching for DataIQ, let’s get back to sharing with you the data visualisation experts whom I follow on Twitter. Here is my totally subjective list of the Data Visualisation experts, whom I’ve found it worth following on Twitter. (more…)

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

Data Scientists 2.0Following 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 Data Science become this new improved candidate.

Plus, Paul explains the role his firm plays in this match making.

Over to our latest guest blogger, to complete this two-part story… (more…)

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

data scientist 2.0

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 Data Scientist 2.0s.

What does he mean by that new buzzword? Over to Michael to explain (in the first of two posts sharing their findings)… (more…)