helping you master customer insight leadership

IoT automation part 2: how to automate decisions, using 4 building blocks

Continuing our two-part series, on automating Internet of Things (IoT) applications, we turn how you can automate decisions. I’m delighted to welcome back, guest blogger Akeel Attar. As Akeel shared last time, automating IoT applications requires more than just Decision Science. There is a key role for business rules and the elicitation of human expert knowledge. But many businesses, see the real potential of AI and IoT, as the potential.. Read More

Why automating IoT needs rule elicitation, not just Data Science

Focusing on how to design & develop your teams, this month, reminded me of rule elicitation work I did over 20 years ago. We have previously focussed on the breadth of skills, including different technical skills, needed within an analytics team. As well as the modern passion for new role titles (Data Engineer, Data Journalist etc), it can be worth learning from the past. Back in the early 1990s, I.. Read More

Is that tempting technology really useful to your business?

Unless it proves useful to your business, it was a distraction. Recent posts have focussed on advice when using Data Science or Data Visualisation. Now it’s time we returned to focussing on commercial realities. One lesson, I learned as a senior customer insight leader, was not to get distracted by what one CEO called “hobbies”. By that, he meant ideas, passions or technical innovations that, whilst interesting, are not relevant.. Read More

Questionable practices by Data Scientists – where do you stand?

Just because you can, doesn’t mean you should; this is perhaps the simplest way to introduce questionable practices. Last year we posted on the desire amongst many data scientists to achieve social good through their work. As for all disciplines, there is also a potential “dark side“ to the capabilities of data scientists. So firms have or still do seek to use data as a weapon or persist with questionable.. 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

Applications of analytics for insurance pricing (using 3 types of data)

This month we are focussing more on Analytics & Data Science, as well as applications of both in businesses. To expand on that latter theme, we have another guest blog post courtesy of our friends at Insurance Thought Leadership blog. In this guest blog post, Cathy Chang and Heather Nelson from Silicon Valley Data Science, share their experience of applications for US motor insurers. They explore the options of mining three types.. Read More

Why data lakes, what you wear & your tools all matter

Perhaps, like me you’ve been a late comer to believing there is anything in buzzwords like Data Lakes? Along with all the hyperbole surrounding Big Data & the Data Science, it’s easy to write-off a whole new language because of some over-selling. It’s also been galling, for those of us who have been working in data analytics for decades prior to it becoming fashionable, to put up with listening to.. Read More