Search

Your Search Results for:

Viewing 1 to 10 (13 Total)

Featured Result

  • Issues | Technology
  • Published: September 12th, 2012

Is Banking’s Future in the Cloud?

Weighing benefits versus security concerns, should your bank take advantage of the cloud computing trend?

  • Issues | Technology
  • Published: July 1st, 2019

Sink or Swim in the Data Deep End

Without a plan, community banks risk drowning in their data and losing to bigger institutions.

  • Committees | Governance
  • Published: December 18th, 2017

Five Issues Bank Boards Should Consider Now

Financial institutions should prepare to address tax reform and other key issues in 2018.

  • Issues | Retail
  • Published: January 7th, 2013

Look Before You Leap: Analyze Customer and Business Impact Carefully Before Implementing Product Change

PwC's Peter Horowitz discusses the importance of analyzing customer and business impact before implementing product changes.

  • Issues | Technology
  • Published: September 26th, 2019

How to Take the Pain Out of Data Conversions

Most bankers mistakenly believe there are three choices when it comes to data conversions, all of which create costs and risks for the bank.

  • Issues | Strategy
  • Published: June 29th, 2018

Now Is The Time to Use Data The Right Way

Changes in the banking industry are putting increasing pressure on companies to make the most of what they have, so long as they have a plan.

  • Issues | Technology
  • Published: February 11th, 2013

When It Comes To Bank Big Data, Start Small

Jim Marous talks about how to approach your big data problem.

  • Issues | Strategy
  • Published: December 27th, 2018

Focus On This One Area To Position Your Bank For Success

Data governance is becoming an area where banks can find a significant strategic advantage.

  • Issues | Strategy
  • Published: April 30th, 2013

The Price of Success: Aligning Pricing with Customer Value Propositions

PwC Financial Services Managing Director, Nate Fisher, highlights how banks can align their pricing structure by using data from customer preferences, purchasing patterns and price sensitivity.

  • Issues | Risk
  • Published: April 2nd, 2019

Applying the 1-10-100 Rule to Loan Management

Data entry errors—caused by outdated technology—are surprisingly expensive.

« Previous
12