conversation about maximising value from customer insight

Data Science programming languages: (2) Resources for Python

As promised in our previous post, for the R programming language, this one will focus on resources for Python. Although R may have a longer heritage within the Statistics and Data Science community, Python could be described as a more complete programming language. In my conversations with clients and Data Science leaders, I’ve also heard a number praise Python as much quicker to learn. So,although both languages are proving popular.. Read More

Data Science programming languages: (1) Resources for R

This month, let’s turn our attention to Data Science programming languages; today, resources for R. Ever since the rise of R as an alternative to traditional statistical packages (like SAS, IBM Analytics etc), there has been a growing focus on coding. In the past I have tended to avoid these programming languages as a topic for this blog, as I have some concerns. Namely that the role of insight analysts,.. Read More

Results of survey for Data Insight Leaders Summit 2017

During our month focussed on research, it seems appropriate to share with you my latest research for Data Insight Leaders Summit 2017. This annual survey is the second of its kind and is published as part of the run-up, to the Data Insight Leaders Summit 2017, in Barcelona on 18-19 October.  A great conference that I will again have the privilege of chairing this year; you may recall my brief.. Read More

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

Following 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.. Read More

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

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.. Read More

Advancing on Blockchain Analytics, more investment & collaboration

Since our previous post, raising questions for Blockchain to answer, I have seen more news on Blockchain Analytics. It seems many individuals and firms are working in this space. To bring together the power of analytics (sometimes plus AI), to help both analyse blockchain data and enable new types of analytics. We raised, in that previous post, the unanswered questions on whether blockchain could help overcome current data challenges &.. Read More

Read a White Paper, advice for Data, Insight & Technology leaders

I’m currently in the process of writing a white paper on some recent research regarding consumer usage of multiple devices online & the resulting poor experience. Probably akin to the way, when you buy a new model of car, you suddenly notice many more of them on the road, I’ve noticed a lot of white papers being advertised recently. So, following previous posts that have recommended blogs, newsletters, podcasts &.. Read More