On June 30th 2018 all businesses were supposed to have migrated to TLS 1.1 encryption or higher, otherwise they are at risk of relinquishing their ability to process credit card payments. Sounds daunting I know. Saying that, I have just realised it is very presumptive of me to expect everyone to know what PCI stands for, let alone what the implications of non-compliance will be for your business now that the June 30th deadline has passed, so I should probably take a
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
BIBA always presents the perfect opportunity to engage with the full spectrum of stakeholders from across the insurance industry, and find out exactly what is happening in the MI space. This year we conducted a survey of over 100 incumbents from brokers, underwriters, MGAs, InsurTech, insurers and reinsurers, and delved a little deeper into the MI behaviour of the sector to find out how the industry is adapting to such a significant digital transformation, as we enter
This year’s ‘Innovate, Evolve, Thrive’ theme at BIBA 2018, was definitely one of the most inspiring yet. With a heavy focus on advances in technology and data, and the implications for the insurance industry, here are some of my key highlights from our two days in Manchester… One of the most pertinent speeches of the 2018 BIBA conference was delivered by Chief Executive of the FCA, Andrew Bailey, who emphasised that Big Data was one of the FCA’s priority themes. Acknowledging the importance
The impact of technology on the hotels industry might not be obvious to the outsider – excepting, of course, the advent of online booking and internet aggregators – but to those working in the industry, the complicated nature of the business is crying out for an overhaul. Hospitality has traditionally been seen as one of the slower industries to embrace digital transformation. The successful innovators are those who have the means to invest in new ways of working while not being
There is no escaping that for many industries they are undergoing their biggest technological transformation in decades, as they slowly adapt to digitalisation in an ever increasing, data-driven World. The EiB mission is to help facilitate businesses to adapt to such a significant transformation, through developing a scalable MI architecture, which empowers organisations to leverage the entirety of their data and gain significant competitive edge. With that in mind, Excel in Business (EiB) are hosting two FREE one day interactive conferences at
With the ongoing development of our EiB Insurance Analytics solution, which provides automated premiums and claims management information (MI) for MGAs, Insurers and Brokers, we have recognised a trend in the challenges faced across the sector with regards to the issue of data quality. With this in mind, a few months ago we commissioned a report exploring the impact of data quality in the insurance industry, the role of automation in addressing this issue, and the future
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
The last instalment in our EiB Insights series, explored how our EiB Insurance Analytics solution allows you to access your raw premiums and claims bordereau and automatically transform this into powerful MI, without the arduous task of manually handling your data. Our focus now turns to the pertinent topic of what happens when your raw data is in fact erroneous data. After all, if the base data is flawed, then regardless of
It’s that reporting time of the year, which means you’re most probably looking down the barrel of at least a few tedious days going line by line through data sets, trying to get a semblance of a picture of health for the powers that be. Say hello to your trusty friend Excel, that all-pervasive tool of data crunching that we all know, love and sometimes hate! And because we’re all so familiar with Excel, we’re also wise to its issues –
© Copyright 2008-2024, Excel in Business Ltd.
Powered by 
Recent Comments