Hidden Insights
Experience the possibilities with Business Analytics
So, you want to compete and become a data-driven organisation, like everyone else in your market? Increasingly, organisational use of analytics has moved beyond process improvement, as analytics maturity increases. The most advanced organisations are now using data and analytics to generate new business models, products and services. In practice,
It suddenly seems as if artificial intelligence (AI) is all around us. It is already having a huge impact in a wide range of sectors, including health care. We are now starting to see it move into the manufacturing sector as an important part of Industry 4.0, the digitisation of
In my previous post, I suggested that it was possible to provide a road map that would help with the introduction of artificial intelligence, advanced analytics and machine learning into insurance companies. This post outlines the process. Start at the beginning The first area to address is applications where the
Recently, as a result of the EU’s General Data Protection Regulation (GDPR) and other regulations, new governance requirements for data management have emerged. These have had some interesting effects on the data preparation process. This post is the third in a series on data preparation (Data preparation in the Analytics
This post is the second in a series on data preparation based on a webinar about its role in the analytical life cycle. The first discussed how data preparation fit into the analytical life cycle. This post considers some trends in data preparation and some of the structures and processes
The increased availability of data is opening up a new world of analytics to insurance companies. There are both new sources of data and also increased volumes of information, and together, these are being used to generate insights and influence decision making. This post, the second in a series on