conversation about maximising value from customer insight

Customer Data: Is it the new Marketing Battleground?

Data and analytics are being called the new marketing battleground. Indeed, many experienced marketers are rushing to brush up on their technical knowledge. So, continuing our focus on applications of data & analytics, I’m delighted to welcome back Peter. Peter Lavers is Director of WCL and Customer Attuned. He is also regularly recognised as one of the top CX experts and influencers today. Time flies by and surprisingly, it’s almost.. Read More

Are insurers playing it too safe with data and analytics?

As we focus on business applications, let’s broaden our scope to review how data and analytics strategies are being implemented. Insurance is a conservative industry. It has certainly lagged other sectors, in terms of digitization and customer experience. But, insurance businesses have enthusiastically embraced data and analytics capabilities. As I talk to my insurance clients, most are actively engaged in building/improving this capability. Talking about this with our old friend.. Read More

Are your interactive data visualisations working for you or your users?

How are your interactive data visualisations working for you or your users? I ask as there have been a number of useful posts published by Data Viz experts recently that suggest all is not well in the world of interactivity. So, building on our recent themes of Data Visualisation and Data Science, I’ll spend this post exploring how well interactive data visualisations work. If hardly anyone is using them, is.. Read More

On the Bank Holiday, here’s a variety of topics for Insight Leaders

Sitting at my desk on a Bank Holiday, before taking a break, I’ve been reflecting on a variety of topics for Insight Leaders. One of the reasons I found Customer Insight Leadership such a rewarding career and still find it fascinating to help such leaders, is the diversity. One day your focus may need to be on improving specific Analytics skills, or complex Data problems, the other it could be.. Read More

Mango share some keys to Data Science readiness

Following on from our series on programming languages, I’m delighted to introduce a guest post on Data Science readiness. Having the strategy or aspiration to make use of Data Science is one thing, executing it effectively is another. Too many businesses I know have hired data scientists without really knowing what to do with them or what they need to succeed. So, I’m pleased to introduce a new guest blogger… 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