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

Keeping a weather eye on the trending topics that matter

There is so much customer insight related content on social media & websites these days. From latest public research to ‘how to’ guides for that analytics software you’ve been considering, it’s possible to spend your whole day just reading. But with your own goals to focus on & with summer holidays depleting the size of your team, what is worthwhile. What should you at least keep a weather eye on? Following.. Read More

No need to be a lonely data scientist anymore

More insight posts from others for you. As well as all relating to at least one aspect of holistic customer insight, our unifying themes this week are how not to feel lonely & data scientist. Hope you find them as interesting as I did. To kick us off, here is a timely and well argued piece on why you may not need a data scientist (at least not yet). A helpful reminder from.. Read More