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Data Quality Rules introduction

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datatovalue
datatovalue

A brief introduction to Data Quality rule development and implementation covering: - What are Data Quality Rules. - Examples of Data Quality Rules. - What are the benefits of rules. - How can I create my own rules? - What alternate approaches are there to building my own rules? The presentation also includes a very brief overview of our Data Quality Rule services. For more information on this please contact us.

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

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Data Quality Rules introduction

  • 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