We use cookies, including third-party cookies from Google to serve personalized ads through AdSense, to operate this site and understand how it is used. By continuing to browse, you accept this use. See our Privacy Policy and Terms of Use for details, including how to opt out of personalized advertising.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    Flat editorial illustration: The article is about joining public web signals with internal business metrics so BI teams can inter
    Alternative Data in BI: Bringing Public Web Data Into Your Dashboards
    23 Min Read
    Flat editorial illustration: The article contrasts passive follower totals with a behavioral path from attention and trust to cli
    Creator Analytics Beyond Follower Count: Seven Metrics That Measure Audience Behavior
    11 Min Read
    Flat editorial illustration: The article connects AI and marketing analytics with managerial judgment grounded in consumer behavi
    How an Online MBA in Marketing Connects AI and Data Analytics
    11 Min Read
    What Kind of Problem-Solving Distinguishes Data Analysts From Software Engineers -- AI-generated illustration
    What Kind of Problem-Solving Distinguishes Data Analysts From Software Engineers
    7 Min Read
    chatgpt image jul 21, 2026, 04 34 30 pm
    4 Core Benefits of Predictive Maintenance after Vibration Analysis
    10 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Using Big Data in the Online Lending Process
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Analytics > Using Big Data in the Online Lending Process
AnalyticsBig DataBusiness IntelligenceExclusive

Using Big Data in the Online Lending Process

Kontomatik
Kontomatik
5 Min Read
Using Big Data in the Online Lending Process
Illustration generated with FLUX.2 [klein 4B] via Cloudflare Workers AI.
SHARE

Online lenders revolutionized the way of applying for and getting a loan. All these tedious KYC procedures and scoring got much simpler and enabled people to quickly receive needed money. But online lenders are mostly willing to give customers only small loans since they are less risky and don’t require thorough financial verification of a given client.

But what if the credit companies were empowered with tools, which automatically check all the available sources of information on loan applicants – their sources of income, total yearly incomes and spending, liabilities, real estates, movables, stability of employment, and so on? That would significantly raise the credibility of the scoring and reduce the potential fraud, thus enabling higher amounts of online loans with less costs. 

API Is The Key

Well, all of this is possible thanks to APIs and data analysis. A banking API can reach customer’s bank accounts not only for figures of incomes or spending, but also retrieve the detailed data on transactions to find spending patterns, determine the scale of everyday living costs and separate them from the lifestyle extravaganza.

More Read

Promising Benefits of Predictive Analytics in Asset Management
Promising Benefits of Predictive Analytics in Asset Management
Will AI Solve Geolocation Challenges for Leading Gaming Providers?
Transforming HR Recruitment Practices with Big Data
A Beginner’s Guide to Data-Driven Technical SEO
How AI Caused RYUK Ransomware to Disrupt Healthcare Technology

The problem is that the figures are only a hard proof of the past. Account history will only tell a part of the story—the one about credibility and financial potential of a client. What about the future? Is it possible to find out about what is going to happen in the nearest time? For more informtion about banking API – check 10 questions about banking API answered.

The Past Is The Future

Unfortunately, there is no way to see the future, although prophets and fortune tellers may say otherwise, yet there is a chance of seeing trends. For example, a LinkedIn API can retrieve the data from this professional social network in order to check the stability of the loan applicant’s employment: how long he/she is employed at the current work or how his/her career path looks like. Based on the history of the employment, it is also possible to determine the chance of changing a job. What’s more, by linking this information to the data retrieved from a banking API, it’s easy to find out the salary received on each job position. This gives a real big picture of financial status and trends of a customer with no need for any paper statements, tax declarations or similar documents.

Speaking of taxes, there could be APIs using the revenue service or social security databases for a quick verification of the applicant’s credibility. One who doesn’t pay taxes or social security premiums seems a bit shady. Not to mention the fact that this behavior can lead straight to jail—and prisoners are not good in paying debts.

Looking Everywhere

There can also be more APIs to other institutions, which keep valuable data related to the customer’s welfare or potential risks. If a client has an insurance policy, an API can take a peek into it and check the sum insured or the capital raised in case of unit-linked life insurance. With the public access to the land and mortgage register, another API can check the status of the client’s real estates, especially all the mortgages. Any entries done by unpaid creditors on mortgage will be a serious warning sign for an online lender. The same principles apply to vehicle and driver registers: using an API, the lender would be able to check cars owned by the applicant and learn any limitations imposed on him or her as a driver by the law enforcement bodies (cross-referencing this information with the facts on employment can be very important).

With more and more data available online, APIs can serve as a key to valuable information for online lenders. Without piles of paper documents and within seconds, the crediting companies can verify their clients to the extent they have never had before, which leads to lower risk, bigger loans and minimized operational costs.

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

Flat editorial illustration: The article is about joining public web signals with internal business metrics so BI teams can inter
Alternative Data in BI: Bringing Public Web Data Into Your Dashboards
Big Data Business Intelligence Exclusive Web Analytics
Flat editorial illustration: A SaaS-editorial scene showing product usage, support patterns, and renewal feedback informing a fle
Using Product Usage Analytics and Support Data to Build a B2B Product Roadmap
Business Intelligence Infographic
From Hiring To Payroll: Managing HR Data Across Business Systems -- AI-generated illustration
From Hiring To Payroll: Managing HR Data Across Business Systems
Big Data Business Intelligence Infographic
Flat editorial illustration: The article is about automating the collection, preparation, and delivery of marketing data across p
From Data to Dashboards: 5 Marketing Reporting Automation Software Picks
Big Data Business Intelligence Exclusive

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

How to Create an Inner Circle?
AnalyticsBest PracticesSocial Data

How to Create an Inner Circle?

5 Min Read
Is Big Data Security Still Lacking?
Big DataHadoopSecurityWorkforce Data

Is Big Data Security Still Lacking?

5 Min Read
big data analytics ERP 17-18
AnalyticsData Mining

Why Integrating Big Data Analytics with ERP Is the Future of Retail

5 Min Read
Here Is How Artificial Intelligence Can Make Blogging More Productive
Artificial IntelligenceExclusive

Here Is How Artificial Intelligence Can Make Blogging More Productive

8 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

AI chatbots
AI Chatbots Can Help Retailers Convert Live Broadcast Viewers into Sales!
Chatbots
5 Great Tips for Using Data Analytics for Website UX
5 Great Tips for Using Data Analytics for Website UX
Big Data

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-26 SmartData Collective. All Rights Reserved.
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?