The document discusses the importance of data quality (DQ) rules in information management, highlighting their role in automated checks, cost savings, and compliance. It outlines the development process for DQ rules and provides examples of basic and advanced rules, along with implementation steps. Additionally, it offers services for DQ rule research and implementation, emphasizing tailored solutions and documentation standards.

1. An introduction to Data Quality Rule development
Data to Value Ltd.
42-44 Bishopsgate
London
EC2N 4AH
www.datatovalue.co.uk

2. What are DQ Rules?
Data to Value Ltd, 42-44 Bishopsgate, London EC2N 4AH
www.datatovalue.co.uk
 Automated data quality checks.
 Essential part of any coordinated
approach to Information Management.
 Pre or Post input.
 Many ways to group, classify & present
rules & results.

3. How are they used & what are benefits?
Data to Value Ltd, 42-44 Bishopsgate, London EC2N 4AH
www.datatovalue.co.uk
 Cost savings.
 Regulatory Compliance.
 Information Security.
 Risk reductions.
 Enhanced Customer Relationship Management (CRM)

4. US0378331005
Data to Value Ltd, 42-44 Bishopsgate, London EC2N 4AH
www.datatovalue.co.uk
Example of a basic DQ rule
ISIN – International Securities Identifier Number
12 Characters in
length
Alphanumeric
Begins with an ISO
country code
Contains a check
digit
May contain a
related code e.g.
CUSIP

5. Data to Value Ltd, 42-44 Bishopsgate, London EC2N 4AH
www.datatovalue.co.uk
Advanced DQ rules
 These can involve:
- Checking across data fields – e.g. if field
A is X, field B must be A, B or C.
- Matrix Lookups / transformations – e.g.
credit rating comparisons.
- Multiple transformation / validation
steps.
- Validation against external sources.
- More advanced logic – fuzzy matching
etc.

6. How to start developing rules
Data to Value Ltd, 42-44 Bishopsgate, London EC2N 4AH
www.datatovalue.co.uk
 Typical implementation cycle resembles:
- Discovery & analysis.
- Testing & enhancement
- Definition.
- Implementation.
- Review.
 What are alternatives to DIY?
- Data Quality rule repositories & bureaus.
- Standards bodies – e.g. ISO.
- Hire an expert consultancy.

7. Data to Value’s DQ Rule service
Data to Value Ltd, 42-44 Bishopsgate, London EC2N 4AH
www.datatovalue.co.uk
 Full on/offsite rule research,
development & implementation
service.
 All rules documented in plain English
using a specified metadata standard
e.g. your internal Data Dictionary.
 Tailored presentation of results at your
required level of detail – summary
dashboards and/or in depth KPIs.
 Choice of Data to Value’s preferred
tools or your existing DQ analysis tools
(BI tools, profiling tools, reporting tools
etc.)
8 0 %
8 5 %
9 0 %
9 5 %
1 0 0 %
In t e g rity
C o m p le t e n e s s
U n iq u e n e s sC o n s is t e n c y
C o n f o rm ity
7 5 %
8 0 %
8 5 %
9 0 %
9 5 %
1 0 0 %
M a y Ju n e J u ly A u g u s t
O v e r a ll Q u a lit y C o m p le t e n e s s C o n s is t e n c y
C o n fo r m it y U n iq u e n e s s In te g r it y
-
1 0 ,0 0 0
2 0 ,0 0 0
3 0 ,0 0 0
4 0 ,0 0 0
5 0 ,0 0 0
6 0 ,0 0 0
7 0 ,0 0 0
8 0 ,0 0 0
9 0 ,0 0 0
1 0 0 ,0 0 0
M a y Ju n e J u ly A u g u s t D e p t A D e p t B D e p t C D e p t D
Data Quality Scorecard – Product Data May 2013
Commentary:
- Data coverage of priority field
A increased from 30% to 80%.
- Tier 1 incidents down 30%
- Data Dependency X now live.
- Data Maintenance
requirement reduced by 30%
over 3 months to date.
- 2 additional power users
trained in DQ tool.
- 2 additional Data Stewards
within Product Master Data Set.
Status =
Green
May DQ dimensions
Latest dependenciesData Maintenance activity
Monthly DQ dimensions

8. About us
Specialist Information Management Consultancy offering services within:
Over 40 years combined Information Management experience as Executives at blue chip organisations.
Experts at bridging understanding gap between 'the business' and technology within the Information Management space.
Data to Value Ltd, 42-44 Bishopsgate, London EC2N 4AH
www.datatovalue.co.uk