conversation about maximising value from customer insight

Longer reflections on subjective reality, comics and research

Longer reflectionsA number of our previous posts have quickly curated short blogs posts with tips for researchers, this time I’ll share longer reflections.

In addition to my own (and guest blogger) opinion pieces, some of our past research-related collection include:

But, as promised, this time I’ll share some longer form content, akin to what the Financial Times likes to call their “Big Read“.

Given the current bias, towards more articles being published on topics of data, analytics & data science, than research – it was good to find this content.

I hope this (totally subjective) selection helps inform your research practice and CPD as a research leader. (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 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…)

Quick data visualisations – taking inspiration from election graphs

quick data visualisationOne of the understandable concerns raised, when I train analysts, is how they can produce quick data visualisations.

After we study the design principles and options to consider, it can seem that to do a quality job takes longer than they normally have. Many analysts complain that timescales are squeezed and corporate life increasingly frenetic, as leaders just want ‘good enough’ answers and want them now.

However, experienced data visualisers can manage to produce effective data visualisations rapidly. Not every engaging graph needs to be a design project, that has gone through extensive refinement. During our month focussing on sharing data visualisation resources, I hope a more pragmatic look at rapid versions might help too.

So, to provide some examples of data visualisations produced within time constraints, I thought we’d look at the analysis of UK election results. What did media companies manage to commission & publish within 24 hours of data being available? (more…)

Maps, can they be more interesting than my geography lessons?

mapsTo add further diversity of voices to our Data Visualisation topic this month, a guest blog post on maps.

Guest blogger Tony Boobier, joins us again, with a short piece musing on his geography lessons and the growing importance of mapping.

Given I’ve just finished teaching a workshop, including options on data visualisation for geo-spatial data, it was amusing to read Tony’s thoughts.

Hope you find this an entertaining distraction too.

Over to Tony & memories of Geography teachers a long long time ago… (more…)