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
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results -- AI-generated illustration
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results
    11 Min Read
    chatgpt image jul 13, 2026, 04 23 45 pm
    How Data Analytics Helps Companies Improve User Engagement
    19 Min Read
    chatgpt image jul 13, 2026, 03 59 46 pm
    How Data Analytics Improves Multi-Location Search Strategies
    10 Min Read
    cybersecurity efforts
    How Behavioral Analytics and AI Are Redefining Cybersecurity for Boca Raton Businesses
    14 Min Read
    data driven risk management in heatlhcare
    How Data Analytics Is Changing Healthcare Risk Management
    17 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Nic Redfern Highlights The New Role Of Big Data In Banking
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 > Nic Redfern Highlights The New Role Of Big Data In Banking
Big DataExclusiveFintech

Nic Redfern Highlights The New Role Of Big Data In Banking

Sean Parker
Sean Parker
5 Min Read
data banking
Shutterstock Licensed Photo - By Billion Photos | stock photo ID: 1675882807
SHARE

Around 20% of Britons are adopting the use of challenger banks such as Monzo and Tide, Smart Data Collective reports.

Contents
  • From a digital standpoint, challenger banks offer a lot of benefits to the customer
    • Big Data is the Backbone of Challenger Banks

Big data is changing the future of the banking industry in countless ways. Savvy banking executives are looking for new ways to utilize AI and other big data solutions to offer more value to their customers and streamline their services.

This is leading to a new generation of banks. A lot of challenger banks are using big data to grow their market share in Britain and compete against larger institutions, such as Barclays.

With fintechs and challenger banks going above and beyond the requirements of consumers with digitally focused and user-driven app experiences, one company CEO says that now ‘high street banks are playing catch up.’

More Read

5 Sure-Fire Ways to Use Analytics to Become a Social Business
First Look – New Visual Numerics products
Will Bollywood take the shine off Communications revenue? Competing in Media & Communications with data-driven analytics
3 Major Challenges for the Internet of Things
Using Big Data in the Online Lending Process

Nic Redfern became the finance director of Nerd Wallet in 2016 and three years later, the firm had a grown from a turnover £2.6m to £8.6m. Offering price comparison for cards, loans and bank accounts, he has seen first-hand the shift towards challenger banks over regular high street banks such as Barclays and Natwest.

There are a number of ways these banks are using big data to carve out their competitive edge, as AcadGild reports. These benefits include:

Using data mining to create a more personalized customer experience

  • Mitigate the risks of fraud
  • Reducing costly human errors
  • Ensure compliance with financial regulations, the GDPR and other laws

Big data has proven to be very effective at solving many challenges in the financial sector. A growing number of challenger banks will use data initiatives to thrive.

From a digital standpoint, challenger banks offer a lot of benefits to the customer

Challenger banks are 100% mobile-app or online driven, also using big data and AI – and they do not have any stores or outlets on the high street. When physical credit cards are used, they are typically fluorescent or brightly coloured.

From a digital and technical standpoint, challenger banks offer a lot of benefits to the customer including notifications, automatic budgeting, no FX fees, no ATM fees and no monthly fees (depending on the product).

For people that do not have a desktop and want to manage all their finances through their phone, challenger banks offer a great experience, including the likes of Starling Bank that allows you to make quick text payments between friends and send friendly reminders.

With Revolut you can buy, exchange and sell cryptocurrency on top of other essential banking features.

Monzo can help you put your money into a savings pot, so if you budget £5 for lunch every day, but you only spend £4, it will put that change into a separate pot automatically.

Challenger banks will usually have a free model you can use, but you may get charged for certain features or you will have to pay for an upgrade. Monzo offers a free service, but you may be charged if taking money out abroad, meanwhile Starling Bank is free but charges when sending money abroad.

In some cases, it is a combination of paying monthly with the option to upgrade. Revolut offers a basic card for £5, which you can upgrade to premium for £6.99 or a metal card for £12.99 to give you access to airport lounges, baggage insurance and cashback on spending, amongst other features.

Big Data is the Backbone of Challenger Banks

Challenger banks are using big data to thrive in the 21st Century. There are a growing number of new financial institutions that will use data solutions to compete against larger counterparts. This will disrupt the banking sector in interesting ways.

TAGGED:big datafintechnic redfern
Share This Article
Facebook Pinterest LinkedIn
Share
BySean Parker
Sean Parker is an entrepreneur and content marketer with over 5 years of experience in SEO, Creative Writing and Digital Marketing with Rank Media. He has worked with several clients from all over the globe to offer his services in various domains with a proven track record of success.

Follow us on Facebook

Latest News

What Is Fine Tuning AI Models And When Should You Actually Do It? -- AI-generated illustration
What Is Fine Tuning AI Models And When Should You Actually Do It?
Artificial Intelligence Exclusive
Industrial IoT (IIoT) Implementation: A Step-by-Step Guide for Manufacturers -- AI-generated illustration
Industrial IoT (IIoT) Implementation: A Step-by-Step Guide for Manufacturers
Exclusive
How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results -- AI-generated illustration
How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results
Analytics Big Data Exclusive Predictive Analytics
Top 20 Git Commands for Modern Development -- AI-generated illustration
Top 20 Git Commands for Modern Development
Exclusive

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

data insights
Big Data

Power of ETL: Transforming Business Decision Making with Data Insights

6 Min Read
big data and unemployment issues in Pennsylvania
Big Data

Big Data Shortfalls Create Challenges for the Unemployed in Pennsylvania

7 Min Read

It’s Time for a New Definition of Big Data

6 Min Read
big data supply chain management
Big Data

Big Data, Analytics, and the Changing Face of Supply Chain Management

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 chatbot
The Art of Conversation: Enhancing Chatbots with Advanced AI Prompts
Chatbots
ai chatbot
How AI Website Chatbots Improve Customer Support and Lead Generation
Chatbots Exclusive

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?