We use cookies, including third-party cookies from Google to serve personalized ads through AdSense, to operate this site and understand how it is used. By continuing to browse, you accept this use. See our Privacy Policy and Terms of Use for details, including how to opt out of personalized advertising.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    What Kind of Problem-Solving Distinguishes Data Analysts From Software Engineers -- AI-generated illustration
    What Kind of Problem-Solving Distinguishes Data Analysts From Software Engineers
    7 Min Read
    chatgpt image jul 21, 2026, 04 34 30 pm
    4 Core Benefits of Predictive Maintenance after Vibration Analysis
    10 Min Read
    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
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Propping up the house of cards
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Uncategorized > Propping up the house of cards
Uncategorized

Propping up the house of cards

Editor SDC
Editor SDC
5 Min Read
Propping up the house of cards
Illustration generated with FLUX.2 [klein 4B] via Cloudflare Workers AI.
SHARE

“The regulators were useless and the new regulation system didn’t work” – time for banks to help themselves out of the crisis.

Dominique Strauss-Kahn, head of the International Monetary Fund (IMF) says that the world financial system is on “the brink of systemic meltdown”; Vince Cable, Liberal Democrat spokesman describes the situation as a “bank tsunami”; the City is talking about a potential banking “armageddon”.  The unprecedented global financial crisis has left us all reeling; where were the regulators when we needed them?

Ken Clarke, former Chancellor of the Exchequer put it quite succinctly on last week’s edition of the BBC’s Question Time: “the regulators were useless and the new regulation system didn’t work,” he said. After years preparing and implementing Basel II, a regulation regime that was supposed to ensure the capital adequacy of financial institutions and reduce risk, we’ve seen bank failure after bank failure as the true state of their liquidity is revealed.

Vince Cable talks about the need for a new regulatory deal with the financial community, but warns that this “should not be done when the public mood is understandably for hanging, drawing and quartering anyone connected with banking… The priority now is disaster management.”  On that front, it’s good to see a broadly united front from governments as they pump money (our money) into the financial system in an attempt to restore confidence and stabilise things. There’s more finger-crossing and touching wood going on than most of us would like, I’m sure; hope is a key part of the strategy as they try to prop up this house of cards.

More Read

Google to Spend $773 Million on Dutch Data Center
Google to Spend $773 Million on Dutch Data Center
An Inconvenient Truth: Crowd-Sourced Approaches to Statistical Analysis in Science – and what this means for you
New Generation of Learning Management Systems Delivers Business Value
How GE Is Using Big Data to Drive Business Performance
Top Stories in Cybernews

Banks have traded in increasingly complex financial instruments without a clear understanding of the market and credit risk. They owe it to their shareholders and the public at large (who may, in any case, become significant shareholders whether they like it or not) to take new measures to scientifically assess and mitigate risk.

The data that financial institutions hold should be put under the microscope for forensic analysis.
How many banks, I wonder, rely on incomplete, inconsistent or out-of-date information for their risk assessments? Consider a couple of examples from the retail banking world. A 95%, interest only mortgage a year ago will have turned into a 110% mortgage today. Self-certified or historic income details may have been sufficient to lend money in a time of rapidly rising house prices, but it’s the customer’s current income that matters.

Here are three data-centric suggestions to help financial institutions identify their current risk exposure:

  1. Perform a regular data audit of all key customer information, including calculated fields, to identify errors and anomalies that indicate credit or market risk.
  2. Ensure that KYC (Know Your Customer) checks are rigorously applied and customers are regularly screened against enhanced due-diligence lists to reduce operational and reputational risk.
  3. If you don’t have a single view of your customers, GET ONE NOW. Understanding the complete relationship you have with your customers will allow you to measure your risk exposure in relation to individual entities and enable your marketing department to reduce attrition by targeting customers at risk.

This last point applies to all institutions, but is particularly salient for those institutions involved in a stressed merger.  I’m not talking here about migrating legacy systems or implementing a grandiose Customer Data Integration strategy – those things can happen in due course, but now is not the time to be contemplating your navel about an IT project that might take 2-5 years to complete.  I’m talking about cutting through the political wrangling and technology bigotry and delivering the information that the business needs to survive today. If that’s not clear, call me now!

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

Flat editorial illustration: The article's core relationship is workload-by-workload decision-making for cloud migration, where s
Which Workloads Should Move to the Cloud?
Cloud Computing Exclusive IT
Flat editorial illustration: The article positions data governance as a strategic board-level concern rather than a purely techni
Why Data Governance Is Becoming a Board-Level Business Priority
Big Data Exclusive Policy and Governance
Flat editorial illustration: The article argues that data annotation quality should be measured by inspectable gold sets, written
The Top Data Annotation Companies Are Separated by Proof of Quality, Not Headcount
Big Data Exclusive
Flat editorial illustration: The article's core relationship is the gap between raw bank-feed records and reliable subscription i
Subscription Trackers Have a Transaction Data Problem
Big Data Exclusive

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Don’t Cry, Shopgirl
Uncategorized

Don’t Cry, Shopgirl

5 Min Read
What use is BI without fit-for-purpose data?
Uncategorized

What use is BI without fit-for-purpose data?

5 Min Read
5 Reasons the Cloud and Mobile Are Inevitable
Uncategorized

5 Reasons the Cloud and Mobile Are Inevitable

4 Min Read
Recreating Another New York Times Chart
Uncategorized

Recreating Another New York Times Chart

4 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

The Art of Conversation: Enhancing Chatbots with Advanced AI Prompts
The Art of Conversation: Enhancing Chatbots with Advanced AI Prompts
Chatbots
How To Get An Award Winning Giveaway Bot
How To Get An Award Winning Giveaway Bot
Big Data 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?