1. Big-Data – Big-data has become a buzz-word to capture many things, but in finding risks and fraud, the more data that we look at, the better chance we have of finding unusual features and problems that should not be there. The manipulation of data and looking for such anomalies and patterns is getting ever faster and better – and there are generally lots of clues on ways to make better decisions – e.g. merchants looking at their own trading / selling for unusual sales.
2. Sharing Data within the confines of Data Protection laws (In Uk DPA s29) – This might sound complex, but it is not. Data Protection laws vary slightly market to market across Europe, but the principles are the same as they are governed by EU Data Protection law. Organisations cannot share much data between them because of Data Protection laws that protect us as consumers – and quite rightly so. But they can and do share details of fraudsters and confirmed fraud, and without the same constraints, but there are VERY strict rules on how this can be done and what can be shared in order to protect you and me from abuse of this. There are increasingly more people understanding what the rules are and what can be done, which will help stop more cheats. But equally there are many projects that have been going on for a long time that will never work because of the understanding of the restrictions on what can, and what cannot be done.
3. Making greater use of public data / bureau data. More and more, the value and usage of data bureaux data is being expanded, by the development of new products in the market and the need for organisations to use publically available data to better effect. With much better and stronger payments data, voters’’ role and default data (like County Court Judgments etc.), but also more shared databases available and more people using and sharing such information there are many more things that then can be done with the data. Remember, that every time that we get an insurance quote, ask for a loan, request a credit card or a new phone or gas contract, we are leaving ‘footprints’
at the Data Bureaux, that is all making our habits much more accessible.4.Greater use of Identity and Authentication Data – almost an extension of the data from the Data Bureaux, but with many more people doing things in the market to ‘know the customer’ better electronically and using data. We have almost gone full circle on this – as we evolved from a) Knowing who we were dealing with, b) Letters of introduction and c) “My word is my bond”. uberrimae fidei through to formal identification through d) the submission of passports and utility bills etc., and now to more and more e) electronic pattern analysis identification and crypto-based authentication services. The Electronic identification methods are becoming more refined and using more sources and more data to check that we are kind-of who we say we are, which in a way is a more complex way of knowing the person that we are dealing with (a) and letters of introduction (b). With government initiatives on identity management setting the ‘gold-standard’ of people identifying themselves through approved data identity bureaux, this can only change things for the better in the next 2-3 years.
5. Device identification / fingerprinting. Whenever we are ‘connected’ to the internet, the connectee can see how we are connected – and knows, with some degree of accuracy, what type of device it is that we are connected to and where it is. They have to know to deliver content to us. There are also companies evolving services that are going to become a lot more important who look at the devices that we are using in much more depth to make sure that when we connect to them, they recognise us. This is why, recently, when I tried to pay quite a large bill with my new iPhone, I was asked by the merchant to wait until I was using my normal computer. It realised that I might not be me, because they did not recognise my device. This technology area has a long way to go.
6. Movement away from ‘profiling types of people’ towards ‘knowing individuals’ – this is again a step towards a time in history when one knew exactly who one was dealing with. Insurance companies and loan providers historically have looked at the ‘groups that we fall into’ to predict the type of repayments or claims history that we might exhibit from the post-code / area that we live in, our age, the type of car/house that we have, how long we have been doing something etc. This of course assumes that we all act the same as our neighbours, people who drive the same type of car/live in the same type house, or geography, or have the same job or family size.; which of course is not usually the case in today’s faster-moving world. Whether for targeted marketing purposes or more targeted risk assessment and understanding, technology is helping us to be assessed as individuals and increasingly our behaviours are being used to determine what we can purchase and price what we pay for. For instance, insurance companies can price using telematics – devices attached to our car to assess our driving ‘style’ and thereby determine the potential risks involved to the insurance company.
7. Better use of the technology that we already have. The typical example of this today for me is the way that Apple has seen a commercial opportunity to enter the payments sector with ApplePay in the USA. The USA has not yet adopted EMV (CHIPs on payment cards) like the entire rest of the globe, and is losing more fraud than everywhere else, and has an outdated infrastructure that is causing problems for the financial services industry worldwide. The EMV backbone in the UK and across Europe is 15 years old, but the USA infrastructure dates back nearly 50 years. In one announcement, Apple did nothing new, but pulled together EMV, tokenisation (linking payment details at the point of purchase to the real payment credentials stored securely elsewhere and using a standard that exists today, but not widely used), NFC (again a common ‘tap & go’ technology used by millions on the London underground and more increasingly across the UK, but mandated by MasterCard for all payment terminals by 2020 across Europe; fingerprint identification/authorisation on the phone, and less talked about; geolocation technology to determine that the phone is physically where it is supposed to be when making a transaction. They packaged this with some clever commercial arrangements to get issuer, acquirer, card scheme and merchant buy-in.
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