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How to Cost-Effectively Satisfy UK FSA Requirements for Single Customer View by Ken O'Connor
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How to Cost-Effectively Satisfy UK FSA Requirements for Single Customer View
Author: Ken O'Connor
Published: April 28, 2010
 The UK Financial Services Authority have recently implemented a new policy that affects many UK financial institutions. The policy relates to the implementation of a "Single Customer View" (SCV) requirement for certain organisations that fall within their guidelines. In this post we provide details of how to download a new report released by Ken O'Connor (an expert panel member on Data Quality Pro and an industry specialist in regulatory data management) that provides practical advice for the many organisations that require compliance with the new UK FSA Single Customer View policy.
In accordance with the EU Deposit Guarantee Scheme Directive (DGSD), the UK has a deposit guarantee scheme in place that guarantees deposit holders with deposits up to £50,000 with any one financial institution. In the event that a bank or other deposit taker fails, eligible deposit holders are guaranteed their money back, together with interest due. The Financial Services Compensation Scheme (FSCS), first established in 2001, plays a key role in the provision and delivery of the deposit guarantee scheme. In order to assess the scale of exposure, and to facilitate fast payout, the UK FSA issued proposal documents in 2009 for consideration by the British Bankers Association (BBA) and UK deposit taking institutions.
The main proposal was for each deposit taking organisation to deliver a "Single Customer View Report" with details of each eligible deposit holder, with the net value of the deposits held by each deposit holder, and the total compensation due. In addition to the report itself, deposit holders must supply details of how they planned, implemented and tested their new "SCV System”. In November 2009, despite feedback rejecting the proposals, the UK FSA issued Policy Statement 09/18 confirming that it was proceeding with the SCV requirements. UK Deposit taking institutions, except those with less than 5,000 customers, are required to conform to the requirements in two main stages, the first by July 31st 2010, and the second by January 31st 2011. Ken O'Connor, an expert in regulatory compliance, has written a report that explains how to: - Cost-effectively plan and implement the required system changes
- Deliver the data governance controls required to satisfy the FSA SCV verification requirements
The report is available online at Data Quality Pro in Adobe Acrobat (PDF) format and provides practical advice for any organisation that needs to comply with this new FSA SCV policy.
Click this link to download the report
About the Author Ken O'Connor is an expert in regulatory compliance havingassisted multi-national clients in the completion of successful data intensive programmes, including Euro Changeover, Single View of Customer (SCV), Sarbannes Oxley (SOX), BASEL II, and Anti Money Laundering (AML).
Ken maintains a popular blog at: http://kenoconnordata.wordpress.com/
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NZ Ministry of Justice Data Quality Framework Link
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Administration
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24/06/2011
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New Zealand Ministry of Justice Data Quality Framework, featuring Mandy Mackay
Creating a data quality framework is an admirable achievement for any organisation and witnessing its implementation with immediate benefits gained is a major milestone on the road to long-term data quality success.
The New Zealand Ministry of Justice has recently achieved this very goal and Mandy Mackay, Data Quality Analyst and key driver for the initiative, explains how they delivered it.
In addition, the New Zealand Ministry of Justice also kindly provide the final data quality framework document for the benefit of members of Data Quality Pro.
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Data Matching Better Practice Guidelines Link
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Administration
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24/06/2011
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Improving the Integrity of Identity Data: Data Matching Better Practice Guidelines by Wayne Colless, Australian Government
This report features a best practice document issued to us by Wayne Colless with the permission for publication granted by the Australian Attorney-General’s Department.
Wayne is an adviser on identity security matters in the Identity Security Branch, National Security Resilience Policy Division with the Attorney-General’s Department in Canberra, Australia.
The document is an advisory guide for the Australian Government but has considerable relevance to any public or private organization looking to improve their data matching approach.
The guide features the following sections:
* Data Matching Improvement Cycle * The Data Matching Principles * Worked Examples * 3 Part Case Study * Data Definition Standard for Name and Address Data Transfer
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How to deliver £600m of Data Quality Benefits Link
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Administration
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24/06/2011
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How to deliver £600,000,000 of Data Quality Benefits: Interview with Nigel Turner by Dylan Jones (Editor)
I recently caught up with one of the most recent additions to the Data Quality Pro expert panel, Nigel Turner. Nigel is a renowned UK based data quality expert and leader. Whilst working for BT, he led a data quality team that delivered over half a billion pounds of data quality benefits. This is the first in a series of interviews we will be covering with Nigel, discovering what it takes to lead and deliver data quality initiatives at the very highest level.
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Going beyond Six Sigma: The KFR Story Link
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Administration
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24/06/2011
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Going beyond Six Sigma: How KFR Services Inc. took their data to a whole new level of data quality
Interview: Dylan Jones (Editor) Released: Wed, September 17, 2008
Anyone that sells products are aware that customer returns due to defects are not good for long-term business.
So if you supply information as your core business then the data quality levels have to be extremely high or else your customers will walk briskly into your competitor’s arms.
Tele-Tech Services, a division of KFR Services Inc., took the quest for perfect quality data beyond Six Sigma levels and demonstrated that delivering world-class data quality is good for business, customers and the workforce.
I caught up with co-president Stephanie Fetchen to find out how they did it and what our members can take from their experience.
You can also find an interesting account of their obsession with data quality in the PDF they publish on their website:
http://www.telecomdb.com/files/Quality%20Story
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The Road to Data Quality and Governance Maturity Link
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Administration
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24/06/2011
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The Road to Data Quality and Governance Maturity, Interview with Jill Wanless
Jill Wanless is one of the most popular and active members in the data quality community.
Her blog "Data Quality From The Ground Up" is an inspiring account of how she has helped deliver data quality and data governance initiatives, with limited funding, using innovative "guerilla tactics".
In this interview Jill shares some of her experiences and tips for getting a data quality program off the ground and moving in the right direction.
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How to Deliver Lean Data Quality: Mark Humphries Link
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Administration
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24/06/2011
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How to Deliver Lean Data Quality: Interview with Mark Humphries of Essent Belgium Interview by Dylan Jones (Editor)
What can you achieve with no budget, no data quality technology and no specialist data quality team members assigned to your project?
Read this inspiring interview featuring Mark Humphries of Essent and gather vital techniques on delivering tangible benefits with limited resources by focusing on waste elimination and clever assignment of existing staff.
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Implementing Data Governance in Local Government Link
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Administration
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24/06/2011
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In this interview, Ellie Fitzpatrick, Senior Data Governance Officer for Leeds City Council explains how their Data Governance and Data Quality strategies are moving forward and delivering real value.
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Asset Data Quality Management in the Rail Industry Link
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Administration
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24/06/2011
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Asset Data Quality Management in the Rail Industry, Expert Interview with Ian Rush of Network Rail Interview by Dylan Jones (Editor)
So how would you manage data quality for a vast rail infrastructure?
Expert panellist Ian Rush has been focused on that exact challenge at Network Rail, the company that owns and operates the UK rail network.
Ian provides a fascinating insight into the techniques and strategy he and his team are applying across a large, complex and mission-critical set of data assets.
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Data Quality Rules: State-Dependent Objects Link
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Administration
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07/10/2011
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In this article, Arkady Maydanchik of Data Quality Group provides another detailed excerpt from his book "Data Quality Assessment".
This tutorial focuses on how to create a state dependent data quality rules process for your data quality management programme. This is an essential and often overlooked aspect of data quality improvement initiatives.
Note: There are other tutorials in this series on data quality rules, see the useful links section in this post for more details.
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Data Quality Rules Tutorial: Integrity Constraints Link
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Administration
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07/10/2011
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In this tutorial, Arkady Maydanchik provides an introduction to Relational Integrity Constraints, this is part 2 in a series exploring the different categories of data quality rules as covered in his Data Quality Assessment book.
This article first appeared in the Information and Data Quality Newsletter of IAIDQ, September 2007.
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Data Quality Rules: Attribute Domain Constraints Link
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Administration
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07/10/2011
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by Arkady Maydanchik
In this tutorial, Arkady Maydanchik provides an overview of the 5 categories of data quality rules as covered in his Data Quality Assessment book. He discusses in greater detail the role of Attribute Domain constraints. This article first appeared in the Information and Data Quality Newsletter of IAIDQ, July 2007.
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Data Quality Rules: Rules for Historical Data Link
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Administration
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07/10/2011
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In this tutorial, Arkady Maydanchik provides an introduction to Data Quality Rules for Historical Data, this is part 3 in a series exploring the different categories of data quality rules as covered in the "Data Quality Assessment" book.
For other tutorials in the series refer to the drop down menu above.
This tutorial first appeared in the Information and Data Quality Newsletter of IAIDQ, September 2008.
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Data Quality Rules: General Attribute Dependencies Link
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Administration
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07/10/2011
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In this guest post, regular expert panelist and featured contributor Arkady Maydanchik provides yet another detailed extract from his excellent book: "Data Quality Assessment".
The 6th in a series, this post defines the various attribute dependency data quality rules and provides a strategy for discovering them.
Arkady is also the co-founder and Managing Director at eLearningCurve LLC, a provider of on-demand technical training via the Internet. Various curricula, including data quality, are available, see here for more details.
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ISO 8000 Data Quality Standard: Progress Report Link
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Administration
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07/10/2011
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ISO 8000, the international standard for data quality, continues to grow in terms of development and adoption.
We recently spoke with ISO 8000 project leader Peter Benson to update us and explain what ISO 8000 means for professionals and companies who wish to use the standard.
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ISO 8000: New International Standard for DQ Link
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Administration
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05/11/2011
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In this guest post by Peter Benson, ISO 8000 Project Leader, we learn about the international data quality standard and how it benefits data consumers and suppliers globally.
With the first part of ISO 8000 published in late 2008, and three new parts scheduled for publication this year, work on this new and exciting standard is progressing well.
Anyone who knows the ISO (International Organization for Standardization) process understands that reaching international consensus on a new standard can be both frustrating and challenging. It takes a good editor and in Dr. Gerard Radack (Concurrent Technologies Corporation), we are lucky to have one of the very best.
While Gerry shoulders the bulk of the work load, the workgroup chair, Dr. Timothy King (LSI Group) and the chair of the ISO Subcommittee, Mr. Howard Mason (BAE Systems) play critical roles in progressing the work through the ballot cycles.
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ISO 8000 Certification Options with Peter Benson Link
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Administration
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07/10/2011
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Peter Benson of ECCMA was recently interviewed discussing a range of topics relating to the ISO 8000 data quality certification standard of which he is the project leader.
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How to Satisfy UK FSA SCV Requirements Link
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Administration
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28/06/2011
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How to Cost-Effectively Satisfy UK FSA Requirements for Single Customer View
Author: Ken O'Connor Published: April 28, 2010
The UK Financial Services Authority have recently implemented a new policy that affects many UK financial institutions. The policy relates to the implementation of a "Single Customer View" (SCV) requirement for certain organisations that fall within their guidelines.
In this post we provide details of how to download a new report released by Ken O'Connor (an expert panel member on Data Quality Pro and an industry specialist in regulatory data management) that provides practical advice for the many organisations that require compliance with the new UK FSA Single Customer View policy.
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Solvency II: Expert Interview with Stephen Mills Link
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Administration
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28/06/2011
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Solvency II - Expert Interview with Stephen Mills of IBM Global Business Services Interview by Dylan Jones (Editor)
Insurance companies in the European Union are readying themselves for the approaching Solvency II deadline which places heavy demands on data quality and data governance strategies.
To help our readers learn more about Solvency II, we spoke with resident expert panelist Stephen Mills, Business Analytics Lead for Insurance, UK at IBM Global Business Services.
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