How Technology is Shaping the Future of Consumer Credit

• Read original article here

Consumer credit has been constantly evolving for more than 5,000 years, but the reality is that the most drastic changes to the industry came fairly recently.

Modern credit systems are now powered by sophisticated algorithmic credit scoring, the use of trended and alternative data, and innovative fintech applications. While these developments are all interesting in their own right, together they serve as a technological foundation for a much more profound shift in consumer credit in the coming years.

In today’s infographic from Equifax, we look at the cutting edge of consumer credit, including the new technologies and global trends that are shaping the future of how consumers around the world will access credit.

It’s the final piece of our three-part series covering the past, present, and future of credit.

The biggest problem that creditors have always faced is well-documented. There is more to a borrower than just their credit score. Yet creditors do not always have a 360 degree view of a consumer’s creditworthiness in order to better assess their overall score.

Called “information asymmetry”, this gap has gotten smaller over the years thanks to advancements in technology and business practices. However, it still persists in particular situations, like when a college student has no credit history, or when a rural farmer in India wants to take out a loan to buy seeds for crops.

But thanks to growing amounts of data – as well as the technology to make use of that data – high levels of information asymmetry may soon be a thing of the past.

Here are some of the major forces that will drive the future of consumer credit, addressing the information asymmetry problem and making a wide variety of credit products available to the public:

1. Growing Data 90% of the data in all of human history has been created in just the last two years.

2. Changing Regulatory Landscape New international regulations are putting personal data back in the hands of consumers, who can control the personal data they authorize access to.

3. Game-changing Technologies Machine learning, deep learning, and neural networks are giving companies a way to garner insights from data.

4. Focus on Identity Authenticating the identity of consumers will become crucial as credit becomes increasingly digital. Blockchain and biometrics could play a role.

5. The Fintech Boom The democratization of data and tech is allowing small and niche players to come in and offer new, innovative products to consumers.

No one can predict the future, but the above forces are shaping the credit industry to be a very different experience for consumers and businesses. Here are how things could change.

Current credit scoring algorithms use logistical regressions to compute scores, but these really max out at using 30-50 variables. In addition, these models can’t “learn” new things like AI can.

However, with new technologies and an unprecedented explosion in data taking place, it means that this noise can be converted into insights that could help increase trust in the credit marketplace. New algorithms will be multivariate, and they will be able to mine, structure, weight, and use this treasure trove of data.

Neural networks will be able to look at a billions of data points to find and make sense of extremely rare patterns. They will also be able to explain why a particular decision was made – and at a time where transparency is crucial, this will be key.

Today, much of consumers’ financial data – such as loan repayment histories – is held almost exclusively by banks and credit agencies.

However, tomorrow points to a very different paradigm: much of the data will be directly in the hands of consumers. In other words, consumers will be able to decide how their data gets used, and for what. In Europe, changes have already been made to transfer control of personal data to the consumer, such as the PSD2, GDPR, and Open Banking (U.K.) initiatives.

Experts see the trend towards open data growing globally, and eventually reaching the United States. Open data will allow consumers to:

As transactions become more digital and remote, how lenders verify the identity of borrowers will be just as important as the lending data itself.

Why? Credit is based around trust – and fraud is the biggest risk for lenders.

But fraud an be prevented by new technologies that help detect anomalies and prove a borrower’s identity:

Blockchain Distributed, tamper-resistant databases can help secure people’s identities from fraudulent activity

Biometrics Fingerprints, facial recognition, and other biometric identification schemes could help secure identities as well

With the vast expansion in types and volume credit data, new technologies, and standardized data in the hands of consumers, there will be a new era of third-party companies and apps that can provide useful and relevant services for consumers.

Here are just some emerging fields in lending:

In the future, consumers may not have to even request credit – it may be automatically allocated to them based on behavior, age, assets, and needs.

Consumers will have more control, and more options than ever before.