Karen, in our last talk we discussed the importance of a professionally organized Data-Quality-Management. Today I want to go in a little bit more detailed. Could you describe what is important implementing Data Governance processes? How should such a data governance process be designed? For an efficient data governance process,
Data quality is a topic that is often discussed in insurance, but also plays a subordinate role in the project day. I asked Karen Prillwitz about the importance of data quality at large insurers. For many years Karen has advised insurance companies, and as a project manager in a large
How ready is your insurance organisation for the advent of AI? In the summer of 2017 I took part in a pan EMEA review of the readiness of Insurance companies for implementing AI, the full report can be found here: Pragmatic AI for Insurance. Some of the findings were surprising,
Since the financial crisis, banking regulators have started to use stress testing as a way to examine how banks will manage under adverse conditions. The idea is to ensure that banks hold enough capital to survive economic shocks. The European Banking Authority published its draft stress-testing methodology for 2018 back
Quest’articolo è stato tradotto e integrato dal post originale di Lee Thorpe È un cambiamento fondamentale quello a cui le compagnie assicurativa stanno andando incontro. L’IFRS 17 sarà introdotto dallo IASB (International Accounting Standards Board) a partire dal 2020 e trasformerà la modalità di costruzione dei bilanci. Coerentemente con gli
There is so much going on that has potential to improve the way that insurers operate, it’s hard to know which opportunities to address, and also, which risks are too important to ignore. At SAS, we are fortunate to have a team of industry experts who understand how to contextualise
Paul Ridge, Banking & Insurance Specialist, SAS UK & Ireland, looks at the state of real-time customer experience in the insurance industry and how analytics can power hyper-personalised customer journeys. The insurance industry has always been there to cover the risks we face in our daily lives. Yet we’re seeing those
Where does the European insurance industry stand in terms of advanced analytics, artificial intelligence and automation? Do we see that traditional methods of data analysis are now being labeled by the term "machine learning"? Maybe the industry is more advanced than that: Are real chatbots, for example, already ubiquitous? Let's
On the way to visit a customer recently, I heard a feature on the radio that made me stop and think. The feature was about a fitness chain that was about to open the world's largest gym in Germany. The difference was the membership model. Instead of a monthly membership fee, users
The importance of risk management has always been clear in financial services, but it is growing in other industries, including energy and telecommunication companies. This importance is being amplified through increasing demand for risk and finance integration. New risk data architecture is needed to focus on the integration of time
