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  • Issues | Technology
  • Published: March 8th, 2017

Smart Data Emphasizes Quality, Not Quantity

Financial technology startups are proving that innovation in the financial services industry will likely come from a smart use of quality data rather than its scale.

  • Issues | Growth
  • Published: October 3rd, 2016

Need to Grow? Try Data

Banks can use data to better understand the risks and profitability of each loan, and make better pricing decisions.

  • Issues | Technology
  • Published: January 30th, 2017

Getting Big Value out of Big Data

Banks are considered leaders in data analytics, but some banks aren’t doing a great job of translating data analytics into better customer service and smarter relationship development.

  • Issues | Technology
  • Published: March 13th, 2017

Why Community Banks Need to Embrace Social Media

You can use social media to engage with customers and even underwrite loans.

  • Issues | Strategy
  • Published: August 12th, 2014

Mining Data to Make Money

No longer a futurist concept, data analytics is cheaper and easier to do than ever.

  • Issues | Technology
  • Published: September 30th, 2016

Joining the FinXTech.com Advisory Team

FinXTech’s mission is simple: to connect those who are truly shaping the future of financial services.

  • Issues | Technology
  • Published: August 28th, 2017

2017 Technology Survey: Data Deficiencies

Three-quarters of executives and directors see room to improve data analytics at their bank.

  • Issues | Technology
  • Published: October 1st, 2014

Data Rich, Information Poor: Bank Leaders Want More Knowledge on Data

This infographic looks at how banks are approaching data, based on the results of the 2014 Growth Strategy Survey.

  • Issues | Strategy
  • Published: June 13th, 2016

A Fear of Missing Out

How banks should approach corporate innovation and work with fintech companies.

  • Issues | Technology
  • Published: June 2nd, 2017

Myth-Busting: Data & Analytics is a Big Bank Game

This article explains how to successfully progress through the four levels of data and analytics maturity and discusses why mid-tier banks might have an advantage.

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