Big Data. Big Decisions
InformationWeek
Special Coverage Series


Royal Bank Of Scotland Glitch Tests Customer Loyalty

Managers at The Royal Bank of Scotland have red faces after second IT crash in less than a year annoys millions of customers.

IT problems have flared up again at one of the U.K.'s biggest retail banking chains, less than nine months after a three-day total system blackout.

For at least three hours on Wednesday night, customers of NatWest, Ulster Bank and Royal Bank of Scotland found themselves unable to access their accounts either by phone or online. (All three are brands of The Royal Bank of Scotland, a commercial operation that is majority-owned by the British state following its near collapse during the 2008 banking crisis.)

More Insights

Webcasts

More >>

White Papers

More >>

Reports

More >>

According to The Guardian, the problem continued well into Thursday morning for some customers. Indeed, this week's problem seems to be in many ways a throwback to the snafu earlier this year, in which British checking account customers were unable to pay their mortgages, settle debts, or even withdraw cash for food, and which left some customers arguing over missed transactions even weeks later. This time, however, the bank denies that the problem is software-related.

[ What are U.K. companies' most pressing security concerns? Read U.K. Public Sector's Top Security Worries. ]

Further stoking customers' anger is the fact that so far the bank seems unwilling to accommodate those who, through no fault of their own, may now face problems on their credit scores and other issues resulting from the glitch.

According to The Guardian, a member of campaign group Move Your Money -- which describes itself as "a national campaign to spread the message that we can help to build a better banking system" – described the downtime as "like [the movie] 'Groundhog Day.'"

In its formal response, the bank said, "We are disappointed that our customers have faced disruption to banking services for a period on Wednesday evening, and apologize for that. All services are now running as normal again." It did not offer any more details about the disruption or how it had been resolved.

However, NatWest reportedly told an IT news site that a "hardware fault" on one of its IBM zSeries mainframes was responsible for blocking customers' access to ATMs and online banking services. (Since branches were closed at that time of night, customers were also unable to interact with tellers.)

The same IT site claims that last year's three-day emergency was due to human error -- allegedly, an employee "hit the wrong button" during what should have been a routine overnight batch job using banking software from CA Technologies to update a system handling inbound payments.

The problems that occurred last June raised an almighty stink in the U.K., and two brownouts may end up being one too many for the Royal Bank of Scotland. The Twittersphere is full of customers swearing to move their business to rivals: "Disgraceful service. Am moving my banking to Santander! You cannot be trusted with our money!!!"

All in all, it's quite amazing in 2013 to see Tier One banks having so many technical problems -- and responding to them with such poor PR.

Rick Falkvinge, the founder of the Swedish Pirate Party and a campaigner for sensible information policy, will present the keynote address at Black Hat Europe 2013. Black Hat Europe will take place March 12-15 at The Grand Hotel Krasnapolsky in Amsterdam.



Related Reading




Currently we allow the following HTML tags in comments:

Single tags

These tags can be used alone and don't need an ending tag.

<br> Defines a single line break

<hr> Defines a horizontal line

Matching tags

These require an ending tag - e.g. <i>italic text</i>

<a> Defines an anchor

<b> Defines bold text

<big> Defines big text

<blockquote> Defines a long quotation

<caption> Defines a table caption

<cite> Defines a citation

<code> Defines computer code text

<em> Defines emphasized text

<fieldset> Defines a border around elements in a form

<h1> This is heading 1

<h2> This is heading 2

<h3> This is heading 3

<h4> This is heading 4

<h5> This is heading 5

<h6> This is heading 6

<i> Defines italic text

<p> Defines a paragraph

<pre> Defines preformatted text

<q> Defines a short quotation

<samp> Defines sample computer code text

<small> Defines small text

<span> Defines a section in a document

<s> Defines strikethrough text

<strike> Defines strikethrough text

<strong> Defines strong text

<sub> Defines subscripted text

<sup> Defines superscripted text

<u> Defines underlined text

BYTE encourages readers to engage in spirited, healthy debate, including taking us to task. However, BYTE moderates all comments posted to our site, and reserves the right to modify or remove any content that it determines to be derogatory, offensive, inflammatory, vulgar, irrelevant/off-topic, racist or obvious marketing/SPAM. BYTE further reserves the right to disable the profile of any commenter participating in said activities.

Disqus Tips To upload an avatar photo, first complete your Disqus profile. | View the list of supported HTML tags you can use to style comments. | Please read our commenting policy.

Follow InformationWeek

By The Numbers

What Are Your Primary Concerns About Using Big Data Software?

Base: 417 respondents at organizations using or planning to deploy data analytics, BI or statistical analysis software
Data: InformationWeek 2013 Analytics, Business Intelligence and Information Management Survey of 541 business technology professionals, October 2012

What Do You Think?

What's your attitude about SQL analysis on top of Hadoop?
We want fast, standard SQL analysis capabilities on Hadoop ASAP
Hadoop is for unstructured data; SQL is for relational databases
We'll give SQL on Hadoop a try, but relational DBs will remain the mainstay
Given strong SQL support on Hadoop, we'd nix the data warehouse
We're not interested in Hadoop
No opinion



Related Content

From Our Sponsor

Five Big Data Challenges and How to Overcome Them with Visual Analytics

Five Big Data Challenges and How to Overcome Them with Visual Analytics

Business leaders often need a visual snapshot of data to quickly grasp and use it. This paper identifies five challenges in presenting data and how visual analytics can resolve them. Solutions are suggested to overcome the challenges of: speed, data clarity, data quality, displaying meaningful results, and dealing with outliers.

Game-Changing Analytics: How IT Executives Can Use Analytics to Create Innovation and Business Success

Game-Changing Analytics: How IT Executives Can Use Analytics to Create Innovation and Business Success

Today's competitive advantage requires a deeper understanding of your business, your market and your customers. As an IT executive, you can drive that knowledge transformation. In this white paper, learn how to make decisions as a strategic business leader and three steps to begin an analytics initiative within your enterprise.

Data Visualization Techniques: From Basics to Big Data with SAS Visual Analytics

Data Visualization Techniques: From Basics to Big Data with SAS Visual Analytics

High-performance data visualization turns sophisticated analyses into meaningful graphics, leading to faster and smarter decision making. In this white paper, learn how visual analytics can transform big data, with additional features such as real-time functionality, mobile compatibility, robust applications for technical groups and accessibility for nontechnical users.

Big Data: Lessons from the Leaders

Big Data: Lessons from the Leaders

Financial performance, competitive advantage, operational efficiency, strategic decision making - every business goal can extract value from big data, and the time for doubt or inaction has long passed. In this Economist Intelligence Unit report, in-depth interviews with data pioneers reveal the link between the effective use of big data and the bottom line among other results.

Decision-Driven Data Management: A Strategy for Better Decisions with Better Data

Decision-Driven Data Management: A Strategy for Better Decisions with Better Data

Which came first, the data or the decision? This white paper makes the case for having a decision in mind, then tailoring big data's volume, variety and velocity to achieve business results such as overcoming customer dissatisfaction or creating well-informed strategies in real time.

Informationweek Reports

Research: The Big Data Management Challenge

Research: The Big Data Management Challenge

The challenge of big data is real, but most organizations don't differentiate 'big data' from traditional data, and nearly 90% of respondents to our survey use conventional databases as the primary means of handling data. We'll help you understand what constitutes big data (it's not just size) and the numerous management challenges it poses.