Advanced Analytics

Nov06

Expert Opinion 07: Understanding the difference between Analytics, BI, Machine Learning, AI and Data Science

In the field of data science, things can become very confusing, especially with so many buzzwords and terms flying around, it’s very easy to waste a lot of time just trying to figure out how everything connects together, let alone applying them to the day-to-day running of your business. So, to clarify the relationships among the fields of business and data analytics, data science, business intelligence, machine learning, and artificial intelligence, Iliya Valchanov, founder of 365 Data Science, an educational

Paul Martin

Jun14

Leveraging the full potential of analytics: The case for an Analytics Centre of Excellence

Analytics are fast becoming the life-blood of organisations. Most notably within enterprises who have already embraced the digitalisation of their industries, recognising that data is now the new oil, and knowledge is now the new international currency. In fact, you’d be hard pushed nowadays to find a business operating in the black, who do not appreciate or understand the full value of analytics, and recognise the direct impact they can have on both empowering better decision-making and

Paul Martin

Jan10

5 Top InsurTech Prophecies for 2018

2018 is already well underway, and for the Insurance industry this could prove to be one of their most exciting years yet. How so? Because of the InsurTech revolution… Until recently, insurance has been a virtual island in a sea of technological change. While innovators began disrupting banking and wealth management during the FinTech boom, which preceded the financial crash in 2008 — not to mention also completely transforming the music, travel, taxis and booking industries — insurance was happy to

Paul Martin

EiB Insights 002 - How to transform raw Premiums and Claims bordereau into competitive Insurance Management Information

Dec19

EiB Insights 002: How to Transform Raw Premiums and Claims Bordereau into Competitive Insurance MI

In a data and analytics survey conducted by the Economist Intelligence Unit, only 13% of insurers surveyed identified enterprise-wide data management and warehousing as a significant strength in their organisation, while 82% ranked data and analytics as a top strategic priority. So, while increasingly more insurance companies continue to invest in modernising their technology architecture, as a means of embracing the cultural shift to a digital age, most still find their efforts have

Paul Martin

Is a self-service analytics application right for your business

Dec06

Are self-service analytics applications right for your business? Here are 8 questions to ask yourself to find out.

Today, even with innovations in, BI software, financial reporting, management reporting and self-service analytics applications, monitoring every aspect of your business is still too complicated. It’s essential for you to use the right tools to track your business performance effectively, yet there are dozens of different software applications and approaches on the market, making choices confusing, complicated and all too often costly – especially as your user population grows. With the majority of businesses trying to manage and present data from

Paul Martin

EiB Insights 001 - Calculating Written vs. Earned Premium

Nov29

EiB Insights 001: Management Information (MI) in the Insurance Industry

EiB Insights is a series of bite-size videos curated by Excel in Business’ Managing Director, Paul Martin. As the InsurTech revolution continues to evolve, with exciting new technological advances disrupting and evolving the industry, for many organisations, embracing a digitally driven future is not a straight forward proposition. The first EiB Insights series seeks to explore the real World issues and challenges which businesses operating in the Insurance industry face, within an

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