FinAi News

No products in the cart.

Subscribe
  • News
  • AI News Tool
  • Data
  • Transactions
  • Events
    • FinAi Banking Summit
    • FinAi Lending Summit
  • Podcast
  • WEBINARS
    • Webinar Library
Log In
No Result
View All Result
  • Banking
  • Lending
  • Payments
  • Risk & Security
  • Strategy
FinAi News
  • News
  • AI News Tool
  • Data
  • Transactions
  • Events
    • FinAi Banking Summit
    • FinAi Lending Summit
  • Podcast
  • WEBINARS
    • Webinar Library
BAN PLUS
Log In
No Result
View All Result
FinAi News
No Result
View All Result

Analyze This: Improving Consumer Engagement Through Customer Analytics

Brad ZaytsoffbyBrad Zaytsoff
February 3, 2015
in Banking, Payments, Risk & Security
Reading Time: 3 mins read
0
Share on Facebook

© Can Stock Photo Inc. / schantalao007Big data and customer analytics have and continue to be hot topics in retail banking. According to Bob Meara, senior analyst with Celent’s Banking practice, “62% of financial institutions in a recent Celent survey strongly believe that customer analytics offers significant competitive advantages and 53% strongly feel they need a granular, holistic and forward-looking view of customers to be competitive.”

But while banks and credit unions understand that there’s a need for customer analytics, questions still remain on what big data financial institutions need to generate said analytics, and where can they get it. In a recent predictions piece, James Plath, digital lead for the financial services industry at Gartner Consulting, touched on a viable source: “Banks own – arguably – the richest data set in existence on any person: transactions.”

Transaction data—data from consumers withdrawing and depositing at ATMs; data from customers making purchases at point-of-sale (POS) terminals; data from home buyers starting mortgage applications on their mobile banking apps and then completing them online once they get home—is chock full of rich customer engagement and customer experience intelligence. The problem lies in somehow getting access to it, and then making sense of all the information. Per a Capgemini report, when asked to select up to three “key impediments to Big Data success”, organizations’ responses included:

  • Too many silos and lack of “pooled” data (57%)
  • The time required to analyze large data sets (44%)
  • Unstructured content in big data is too difficult to interpret (33%)

Fortunately, new customer analytics tools are becoming available—innovative applications that are able to show how customers engage with a bank’s ATM, POS, mobile, internet and branch service channels. By combining correlated consumer transaction data with other third party feeds, such as regional demographics and locations of competitor ATMs, these customer analytics applications can display information in interactive dashboards and actionable reports. So rather than spending days searching for and piecing together data from disparate internal silos and external service providers, channel managers and operations support teams can access the analytics they need to understand consumers’ experience within a few clicks.

With real-time access to transaction data and analytics the potential results for banks are significant. They gain the ability to react in seconds (rather than hours) to consumer related transaction issues. They can improve service channel availability and optimize their service offerings through easy analysis of consumer usage patterns. Currently a leading Middle Eastern bank is leveraging the rich consumer intelligence gathered from their ATM transactions to build data-driven marketing campaigns targeting off-us consumers in efforts to convert these users into new, higher-margin, on-us customers.

“Banks have a great deal of work ahead of them to deliver a high-quality, low friction, and engaging customer experience across all delivery channels, while concurrently lowering the cost to serve,” says Celent’s Mr. Meara in his report, Retail Banking Channel Systems in North America: The Quest for Omnichannel Continues. “Doing so is not optional…”

In 2015, I foresee many financial institutions adopting new analytics tools that will give them access to, and the ability to make use of, the transaction data flowing through their banking service channels. These customer-focused banking analytics applications will unlock the “Big Data” banks’ chief data officers, line of business managers and data analysts need to make more profitable data-driven decisions and ultimately enhance customer engagement.”

To explore how your organization can Drive Banking Engagement with Customer Analytics, join INETCO for a 45-minute webinar featuring Celent Banking Practice Senior Analyst, Bob Meara, on Wednesday, February 11. Learn how to tap into your existing transaction data and access the rich customer analytics you need to drive banking engagement, adopt data-driven banking strategies, and speed up your profitability reporting cycles.

Join INETCO for a webinar featuring Celent and learn how to Drive Banking Engagement with Customer Analytics

Tags: AnalyticsATMbig dataomnichannel
Previous Post

GunTab, a ‘PayPal for Firearms,’ Pulled from AngelList

Next Post

The business model to replace fractional reserve banking will use Freemium

Related Posts

Cisco logo on a wall of lights
Risk & Security

Cisco clients spend more on security to prepare for Mythos, quantum

August 13, 2026
digital globe surrounded by interconnected data streams
Risk & Security

FIs cannot rely solely on legacy systems for cybersecurity

August 12, 2026
agentic
Banking

Glia launches 25 AI agents for customer service

August 12, 2026
Next Post

The business model to replace fractional reserve banking will use Freemium

Please login to join discussion

EMERGING FINTECH DIRECTORY

Emerging Fintech Directory

FinAi Podcast

SPONSORED

Build an Antifragile Strategy to Outperform the Market

July 14, 2026

How AI and Product Experts Turn Fuzzy Requirements Into Focused Dev-ready Roadmaps

April 19, 2026

Is Your Technology Supplier There for You?

April 1, 2026

  • About Us
  • Help Center
  • Contact Us
  • Privacy Terms
  • ADA Compliance
  • Advertise

Connect

twitter linkedin podcast podcast podcast podcast
© 2026 Royal Media
No Result
View All Result
  • NEWS
    • All News
    • Banking
    • Lending
    • Payments
    • Risk & Security
    • Strategy
  • AI News Tool [Beta]
  • DATA
  • TRANSACTIONS
  • EVENTS
    • FinAi Banking Summit
    • FinAi Lending Summit
  • PODCAST
  • WEBINARS
    • Webinar Library
  • SUBSCRIBE
  • Log In / Account

Welcome Back!

Login to your account below

Forgotten Password?

Retrieve your password

Please enter your username or email address to reset your password.

Log In

Unlock This Article

Create your free FinAi News account to access this article and stay informed on how AI is transforming financial services including banking, lending, payments, and risk.

Yes, I'd like to receive FinAi News updates, breaking news, and exclusive AI insights for financial services leaders.

Continue Reading with FinAi News Premium - Less than $2/Day

Upgrade to FinAi News Premium for unlimited access to news, insights, trends, and intelligence on how AI is transforming financial services including banking, lending, payments, and risk.
Upgrade to FinAi News Premium Subscription
No Result
View All Result
  • NEWS
    • All News
    • Banking
    • Lending
    • Payments
    • Risk & Security
    • Strategy
  • AI News Tool [Beta]
  • DATA
  • TRANSACTIONS
  • EVENTS
    • FinAi Banking Summit
    • FinAi Lending Summit
  • PODCAST
  • WEBINARS
    • Webinar Library
  • SUBSCRIBE
  • Log In / Account