Cookies help us display personalized product recommendations and ensure you have great shopping experience.

By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    composable analytics
    How Composable Analytics Unlocks Modular Agility for Data Teams
    9 Min Read
    data mining to find the right poly bag makers
    Using Data Analytics to Choose the Best Poly Mailer Bags
    12 Min Read
    data analytics for pharmacy trends
    How Data Analytics Is Tracking Trends in the Pharmacy Industry
    5 Min Read
    car expense data analytics
    Data Analytics for Smarter Vehicle Expense Management
    10 Min Read
    image fx (60)
    Data Analytics Driving the Modern E-commerce Warehouse
    13 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Data in Consumer Finance
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Big Data > Data in Consumer Finance
Big Data

Data in Consumer Finance

Kontomatik
Kontomatik
6 Min Read
SHARE

We live in the times when big data is used to by nearly every service provider to identify its customer segment, profile the right customers, sell and upsell to them. Hence, I can actually say that the importance of data is just enormous, especially when it comes to making important decisions on the fly.

Contents
  • If only banks knew what they know
  • What if you could access banking data
  • So what can be done to facilitate the development?

We live in the times when big data is used to by nearly every service provider to identify its customer segment, profile the right customers, sell and upsell to them. Hence, I can actually say that the importance of data is just enormous, especially when it comes to making important decisions on the fly.

As a rule, different data has different value for different organisations. Some online advertisers would be quite happy with just knowing my language preferences and location, while others would want to know how the meal I had yesterday looked like. Well, jokes aside, it is clear that the data one needs to sell a pizza should be much cheaper than the information required for the such a product as a car insurance. In simple words, the more profitable the industry is, the riskier it gets and the higher quality of the data you need to sell your products successfully.

If only banks knew what they know

Even though many people would certainly agree that data is new oil, there are actually organisations that are just sitting on a gold mine. Yes, I am talking about banks. Upon opening a bank account, a person is disclosing his names, date of birth, address, identification documents, contact details and more. This amount of data would already be quite wanted by most of the organisations, yet that’s just a tip of an iceberg.

More Read

Predictions 2009 – John Battelle’s Searchblog
How to Conduct a Business Impact Analysis for Disaster Recovery
How Big Data Can Improve Multiplayer Game Matching
Big Data Is Fundamentally Altering the Future of File Transfer Security
Merging Predictive Analytics Models And WAF For Top-Tier Security 

Once you actually start using your bank account, you will also start supplying the bank with the best intelligence ever. If you are a frequent credit / debit card user, a bank would find out where you eat, how much money you spend on clothes, how often you use uber…the information flow is just limitless.

What if you could access banking data

Imagine you are given just a fractional piece of this data, I bet the ideas for some cool apps and services are already flooding your head, aren’t they? It is a pity that most of the bankers think otherwise and a huge amount of the financial data is wasted. Even if a certain bank just doesn’t want to use this data, it could open up an API and let a bit more open minded organisations use it.

The benefits of having access to the financial data are just enormous. This could allow institutions that give mortgage (which are not always the banks where you have most of your transactions) to assess your creditworthiness better and, in return, supply you with a better borrowing rate. Considering the prices for the real estate in the developing countries, it would easily provide consumers with $10,000+ in benefits.

Alternatively, if we just forget about the transactional data for a second and look into the data you are supplying when just opening an account, it becomes clear that supplying the same data second time is actually redundant. For most of the “modern” services that we currently use, we hardly have to supply credentials every time we want to register. It became a habit to login with G+, Facebook or any other account you might already have. Why should it be any different when it comes to opening “offline” accounts?

So what can be done to facilitate the development?

Luckily, such an industry as fintech was born and it gave birth not only to great online projects in the field of finance, but it has also created both the demand and the supply of the software that can bootstrap the development of consumer finance.

While there banks that resist opening up their data to the world of developers, there are a few vendors of the banking API, a technology that can allow a fintech startup, an online lender, a personal finance management tool or even a competitive banks to let their users allow accessing their banking data through their consent. One of such vendors is Kontomatik, an aggregator of the financial data that can help brave banks and fintech companies already in Poland, Spain, Czech Republic, Slovakia, Mexico, Brazil and Russia. The US market is a bit more developed, as it has quite a few providers.

With the help of such modern technologies we will certainly be able to see a great digitalisation and the transformation of the whole financial services industry as we know it. If the banks are not brave or smart enough to use the data they keep, eventually this data will be used by someone else to design better and more competitive products.

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

mobile device farm
How Mobile Device Farms Strengthen Big Data Workflows
Big Data Exclusive
composable analytics
How Composable Analytics Unlocks Modular Agility for Data Teams
Analytics Big Data Exclusive
fintech startups
Why Fintech Start-Ups Struggle To Secure The Funding They Need
Infographic News
edge networks in manufacturing
Edge Infrastructure Strategies for Data-Driven Manufacturers
Big Data Exclusive

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

Trying out glmnet: a case study in open-source development

4 Min Read

Predictive Model Deployment and Execution Made Easy with PMML

4 Min Read
Image
Big Data

Big Data Helps Mobile Gaming Companies

5 Min Read
analytics trends
AnalyticsPredictive AnalyticsSocial Data

Top 5 Analytics trends in Fashion Retail

5 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 and chatbots
Chatbots and SEO: How Can Chatbots Improve Your SEO Ranking?
Artificial Intelligence Chatbots Exclusive
AI chatbots
AI Chatbots Can Help Retailers Convert Live Broadcast Viewers into Sales!
Chatbots

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-25 SmartData Collective. All Rights Reserved.
Go to mobile version
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?