conversation about maximising value from customer insight

Data Science programming languages: (3) Resources for Julia

As promised, I’m returning to our series covering data science programming languages, this time-sharing resources for Julia. My first introduction to the Julia language, was mentions at R or Python events, that “the cool kids are writing in Julia these days“. Now, bloggers are always in danger of being on the look out for something topical or trendy, but further investigation revealed that Julia is indeed a useful language with.. Read More

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

The best newsletters for tracking the Wider Insight World

Whilst we focus on events & applications of customer insight for businesses, what has been going on in the wider insight world? Here are a few posts that caught my eye this week, which I thought you might find useful. To help you further, I’ve decide it’s fairer to ‘open the kimono‘ & share how you can keep as up-to-date. The content I share below comes from just two consistently useful newsletters. It’s surprising how.. Read More

Could you be excited by automated pricing models for free?

How long does it take to build your insurance pricing models? At what cost, especially if this work is completed by highly paid actuaries? In this post we take a break from our recent events & leadership focus and get ‘down & dirty’ with technical detail. In this case the challenge for insurance businesses to build and refine their pricing models in an ever more competitive data-led battleground. I’m not.. Read More