Infographic: How Technology is Shaping the Future of Consumer Credit
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How Technology is Shaping the Future of Consumer Credit

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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.

The Future of Consumer Credit

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.

Part 1: The History of Consumer CreditPart 2: Modern CreditPart 3: Future
How Technology is Shaping the Future of Consumer Credit
Part 1: The History of Consumer CreditPart 2: Modern CreditPart 3: Future

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.

Forces Shaping Credit’s Future

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.

The Credit Revolution

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.

More Data, New Models

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.

TechnologyDescription
Artificial intelligenceMachine learning can “learn” from massive data sets, and apply these lessons for better scoring.
BayesianModels can update probabilities as more information is available, helping to better predict creditworthiness.
APIsApplication programming interfaces (APIs) make it easier for developers to use technologies, data, and to build new applications.
Neural networksBrain-inspired AI systems designed to replicate the way that humans learn are used for deep learning. This enables the processing of raw, unstructured, and often abstract data for new insights.

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.

Data Will be in the Hands of Consumers

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:

  • Regain control of checking, mortgage, loan, and credit card data
  • Give up more information voluntarily to unlock better deals from creditors
  • Grant access to third parties (fintech, apps, etc.) to use this data in new applications and products
  • Gain access to better rates, new lending models, and more

Identity Will Be Just as Important

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

New Game, New Players

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:

Emerging fieldsDescription
P2P LoansDoes a bank need to be an intermediary?
With peer-to-peer loans, you are matched to an appropriate lender/borrower.
MicrolendingLending doesn’t always need to be in big amounts, like for a mortgage or auto loan.
Alternative credit scoringPsychometric testing or the use of other data streams can be used to power this less traditional form of lending.
Niche servicesWith an open playing field, companies will fill every gap imaginable.

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.

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Ranked: The Best-Selling Video Game Consoles of All Time

Video game consoles have changed drastically over the last 50 years. Here are some of the best-selling ones across the globe.

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Ranked: The Best-Selling Video Game Consoles of All Time

In 1972, the first-ever commercially available home video game console hit the market—the Magnavox Odyssey. Players of the Odyssey had a choice between two built-in games that were stored directly in the device, and would use a joystick and dials as a controller.

Video game consoles have come a long way since then, and the console market has grown into a multi-billion dollar industry that’s expected to reach $72.67 billion in value by the end of 2022.

This graphic by Enrique Mendoza uses data from VGChartz to show the market leaders in the industry, by highlighting the top-selling video consoles of all time, as of May 8, 2022.

Nine Generations of Video Game Consoles

Before diving into the top-selling consoles, it’s worth taking a step back to touch on the evolution of home consoles to show how they’ve changed over the years.

We dug into the literature on the history of video game consoles, and found that most articles and blog posts on the topic cite nine different generations of devices.

Here’s a breakdown of each generation, and some of their most noteworthy systems:

1972: Gen One, Where it Began

Consoles in the first generation had pre-built games that were stored directly on the device. They include the Magnavox Odyssey and Atari’s Pong.

1976: Gen Two Emerges

In this generation, games were sold separately, rather than programmed into the device. Consoles of this gen include the Fairchild Channel F and the Atari 2600.

1983: Gen Three, the “8-bit Generation”

This era’s consoles typically had 8-bit processes which allowed for more advanced graphics for the time. A few notable consoles during this gen were ​​the Sega SG-1000 and the Nintendo Famicom, released outside Japan as the Nintendo Entertainment System (NES).

1987: Gen Four Elevates Handheld Gaming

Home consoles were released with 16-bit systems, meaning that audio and graphics improved even more in this era. But an arguably bigger moment for this gen was the emergence of the Nintendo Game Boy.

1993: The 3D Start of Gen Five

This generation saw the move away from pixels and towards 3D polygons. Some consoles like the Sony PlayStation started using CD-ROMs instead of cartridges, which stored more data at a cheaper cost and changed the industry.

1998: Gen Six and the Internet

At the start of this generation, the three major players in the console space were Sony, Sega, and Nintendo. By the end, Sega would be replaced with Microsoft as it launched the Xbox and helped popularize online console gaming.

2005: HD Graphics and Motion Controls of Gen Seven

On one side of the market, Microsoft and Sony were competing with high-definition graphics, faster processers, and different forms (Blu-rays or DVDs). But Nintendo’s motion-sensing Nintendo Wii arguably defined this generation, and the handheld Nintendo DS swept the market as well.

2012: Gen Eight’s Modern Consoles

Consoles of this era started having increased connectivity and processing power, with full HD an expectation. It was also an extremely long generation, starting with Nintendo’s unsuccessful Wii U and ending with the ultra-successful Nintendo Switch, widely considered the first hybrid console with three different ways to play: TV mode, handheld mode, or tabletop mode.

2020: Gen Nine and Beyond

So far, this generation has brought upgraded graphics (up to 8K resolution), larger games, and game-streaming capabilities. Devices in this gen include the Xbox Series X/S and PlayStation 5, which both use solid state drives to increase speed and performance, while Nintendo has yet to introduce a 9th generation device.

The Best-Selling Game Consoles

The best-selling video game console of all time is Sony’s PlayStation 2 (PS2). More than 157 million systems have been sold around the world since its launch in March 2000.

RankConsoleManufacturerGlobal lifetime sales (millions)
1PlayStation 2 (PS2)Sony157.68
2Nintendo DS (DS)Nintendo154.90
3Game Boy (GB)Nintendo118.69
4PlayStation 4 (PS4)Sony116.97
5Nintendo Switch (NS)Nintendo107.21
6PlayStation (PS)Sony102.50
7Nintendo Wii (Wii)Nintendo101.64
8PlayStation 3 (PS3)Sony87.41
9Xbox 360 (X360)Microsoft85.8
10Game Boy Advance (GBA)Nintendo81.51
11PlayStation Portable (PSP)Sony81.09
12Nintendo 3DS (3DS)Nintendo75.95
13Nintendo Entertainment System (NES)Nintendo61.91
14Xbox One (XOne)Microsoft50.57
15Super Nintendo Entertainment System (SNES)Nintendo49.10
16Nintendo 64 (N64)Nintendo32.93
17Sega Genesis (GEN)Sega29.54
18Atari 2600 (2600)Atari27.64
19Xbox (XB)Microsoft24.65
20GameCube (GC)Nintendo21.74
21PlayStation 5 (PS5)Sony19.32
22PlayStation Vita (PSV)Sony16.21
23Xbox Series X/S (XS)Microsoft14.32
24Nintendo Wii U (WiiU)Nintendo13.97
25GameGear (GG)Sega10.62
26Sega Saturn (SAT)Sega8.82
27Dreamcast (DC)Sega8.20
28Atari 7800 (7800)Atari4.30

Despite the fact the PS2’s been discontinued since 2013, no other gaming console has managed to top it—in fact, the next closest actively-sold consoles, the PS4 and Nintendo Switch, are each more than 40 million units behind.

One major factor for the PS2’s success was its built-in DVD player. At the time, DVD players were very expensive, and in many places a PS2 was a cheaper and effective alternative. It was also one of the first devices to be “backward compatible,” meaning users could play most of their PS1 games on the PS2. This meant players didn’t have to buy a whole new library of games when they made the switch to a PS2, and Sony could tap into its existing customer base.

But while Sony’s PS2 is the top-selling console on the list, Nintendo has more top-selling consoles on the list—almost half of the consoles on the list are manufactured by Nintendo (11), while only seven are made by Sony.

What Will it Take to Out-Sell the PS2?

As the PS4 has started taking a backseat to the PS5 in sales and promotion, the current most-likely contender for the best-selling console crown is the Nintendo Switch. Early in 2022, it was the fastest console to sell 100 million units.

With lots of hype around the possibilities of AR and VR, it’ll be interesting to see what new features come with the next generation of gaming consoles.

Will future devices ever beat the PS2’s record-breaking sales? Time will tell. But for now, the 22-year-old console continues to hold its well-earned spot at the top.

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Visualizing The 50 Biggest Data Breaches From 2004–2021

In 2021, more than 5.9 billion user records were stolen. This graphic visualizes the 50 largest data breaches, by entity and sector, since 2004.

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This graphic visualizes the 50 largest data breaches, by entity and sector, since 2004.

Visualizing The 50 Biggest Data Breaches From 2004–2021

As our world has become increasingly reliant on technology and data stored online, data breaches have become an omnipresent threat to users, businesses, and government agencies. In 2021, a new record was set with more than 5.9 billion user records stolen.

This graphic by Chimdi Nwosu visualizes the 50 largest data breaches since 2004, along with the sectors most impacted. Data was aggregated from company statements and news reports.

Understanding the Basics of Data Breaches

A data breach is an incident in which sensitive or confidential information is copied, transmitted or stolen by an unauthorized entity. This can occur as a result of malware attacks, payment card fraud, insider leaks, or unintended disclosure.

The targeted data is often customer PII (personally identifiable information), employee PII, intellectual property, corporate data or government agency data.

Date breaches can be perpetrated by lone hackers, organized cybercrime groups, or even national governments. Stolen information can then be used in other criminal enterprises such as identity theft, credit card fraud, or held for ransom payment.

Notable Data Breaches Since 2004

The largest data breach recorded occurred in 2013 when all three billion Yahoo accounts had their information compromised. In that cyberattack, the hackers were able to gather the personal information and passwords of users. While the full extent of the Yahoo data breach is still not fully realized, subsequent cybercrimes across the globe have been linked to the stolen information.

Here are the 50 largest data breaches by amount of user records stolen from 2004–2021.

RankEntitySectorRecords CompromisedYear
1YahooWeb3.0B2013
2River City MediaWeb1.4B2017
3AadhaarGovernment1.1B2018
4First American CorporationFinance885M2019
5SpambotWeb711M2017
6LinkedinWeb700M2021
7FacebookTech533M2021
8YahooWeb500M2014
9Marriott InternationalRetail500M2018
10SyniverseTelecoms500M2021
11FacebookWeb419M2019
12Friend Finder NetworkWeb412M2016
13OxyDataTech380M2019
14MySpaceWeb360M2016
15ExactisData340M2018
16TwitterTech330M2018
17AirtelTelecoms320M2019
18Indian citizensWeb275M2019
19WattpadWeb270M2020
20MicrosoftWeb250M2019
21Experian BrazilFinance220M2021
22Chinese resume leakWeb202M2019
23Court VenturesFinance200M2013
24ApolloTech200M2018
25Deep Root AnalyticsWeb198M2015
26ZyngaGaming173M2019
27VKWeb171M2016
28EquifaxFinance163M2017
29DubsmashWeb162M2019
30Massive American business hackFinance160M2013
31MyFitnessPalApp150M2018
32EbayWeb145M2014
33CanvaWeb139M2019
34HeartlandFinance130M2009
35NametestsApp120M2018
36TetradFinance120M2020
37LinkedInWeb117M2016
38Pakistani mobile operatorsTelecoms115M2020
39ElasticSearchTech108M2019
40Capital OneFinance106M2019
41Thailand visitorsGovernment106M2021
42FirebaseApp100M2018
43QuoraWeb100M2018
44Rambler.ruWeb98M2012
45TK / TJ MaxxRetail94M2007
46MyHeritageWeb92M2018
47AOLWeb92M2004
48DailymotionWeb85M2016
49AnthemHealth80M2015
50Sony Playstation NetworkGaming77M2011

The massive Yahoo hack accounted for roughly 30% of the 9.9 billion user records stolen from the Web sector—by far the most impacted sector. The next most-impacted sectors were Tech and Finance, with 2 billion and 1.6 billion records stolen, respectively.

Although these three sectors had the highest totals of user data lost, that doesn’t necessarily imply they have weaker security measures. Instead, it can probably be attributed to the sheer number of user records they compile.

Not all infamous data breaches are of a large scale. A smaller data breach in 2014 made headlines when Apple’s iCloud was hacked and the personal pictures of roughly 200 celebrities were disseminated across the internet. Although this highly targeted hack only affected a few hundred people, it highlighted how invasive and damaging data breaches can be to users.

The Cost of Data Breaches to Businesses

Every year data breaches cost businesses billions of dollars to prevent and contain, while also eroding consumer trust and potentially having an adverse effect on customer retention.

A 2021 IBM security report estimated that the average cost per data breach for companies in 2020 was $4.2 million, which represents a 10% increase from 2019. That increase is mainly attributed to the added security risk associated with having more people working remotely due to the COVID-19 pandemic.

Measures to Improve Data Security

Completely preventing data breaches is essentially impossible, as cybercrime enterprises are often persistent, dynamic, and sophisticated. Nevertheless, businesses can seek out innovative methods to prevent exposure of data and mitigate potential damages.

For example, after the iCloud attack in 2014, Apple began avidly encouraging users to adopt two-factor authentication in an effort to strengthen data security.

Regardless of the measures businesses take, the unfortunate reality is that data breaches are a cost of doing business in the modern world and will continue to be a concern to both companies and users.

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