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: (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

Why insurance firms need a new vocabulary

Everyone wants to improve the customer experience, but look at the vocabulary insurance firms use. Many words are opaque, and some are even offensive. So, I’m pleased to welcome Paul Carroll (CEO of InsuranceThoughtLeadership.com) as our latest guest blogger. In his first guest blog post for us, Paul shares examples of this customer unfriendly vocabulary & why these need to change: Lots of industries face criticism because they talk the talk.. Read More