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The Great Data Debate –
Do data quality dimensions have a place in
assessing data quality?
DAMA UK/ BCS Data Management Specialist Group – 20th June 2013
Implementing a lean approach to Data Quality
Management using X88 Pandora
04
James Phare, Data to Value Ltd
James Phare
Managing Director – Data toValue Ltd.
James.phare@datatovalue.co.uk
www.datatovalue.co.uk
Mark Hodson
Director – X88 Software Ltd.
mark@x88.com
www.x88.com
Implementing a lean approach
to Data Quality Management
using X88 Pandora.
Data toValue Ltd, 42-44 Bishopsgate, London EC2N 4AH
www.datatovalue.co.uk
Introduction
Background:
- The role.
- The company.
- The Information Management Strategy & Vision.
Motivation for looking at DQ tools:
- Infrastructure implemented – where's the insight?
- Difficulty knowing scale of DQ problems.
- Regulatory, reputational & legal drivers.
- Siloed tools & approaches.
- Cost & complexity.
Data toValue Ltd, 42-44 Bishopsgate, London EC2N 4AH
www.datatovalue.co.uk
Introduction – cont.
Data Quality Tools market growth – what's all the fuss
about?
Due diligence process.
Common features across tools:
- Industrial strength DQ features.
- Some tailored for key requirements (AML, CDI etc).
- Specialised rather than commodity tools.
Principal Concern....?
Data toValue Ltd, 42-44 Bishopsgate, London EC2N 4AH
www.datatovalue.co.uk
Aren't we supposed to be moving responsibility for Data out of the
basement?!
Data toValue Ltd, 42-44 Bishopsgate, London EC2N 4AH
www.datatovalue.co.uk
Progression to selecting Pandora
- Extremely intuitive for non technical users.
- Performance & Flexibility.
- Easy to measure, quantify & analyse results.
- Powerful presentation capabilities.
- Suited our Lean approach to Information Management.
Data toValue Ltd, 42-44 Bishopsgate, London EC2N 4AH
www.datatovalue.co.uk
The implementation plan
Focus on financial Master Data sets:
– Products (Investment Funds).
– Investors.
– Counterparties.
– Suppliers.
– Securities.
Data governance plans
– Pandora 'power users' working closely with data stewards
in respective business areas.
Desire for a competency centre in DQ Management.
Data toValue Ltd, 42-44 Bishopsgate, London EC2N 4AH
www.datatovalue.co.uk
The Pilot project – Product Data
A baptism of fire!
- Remodelling & documenting.
- Data Migrations & Integration.
- Matching, de-duping, Standardising &
Cleansing.
- DQ Scorecards & KPIs.
The Challenges:
- Triaging root cause issues.
- Communicating progress to senior stakeholders.
- Managing expectations & 'public relations'.
The results?
- Huge step change in investor experience – website, reports etc.
- Improved decision making.
- Reductions in operational, regulatory & reputational risk.
- 60% reduction in data maintenance requirement.
- Other reductions in cost & complexity.
Simultaneously!
Data toValue Ltd, 42-44 Bishopsgate, London EC2N 4AH
www.datatovalue.co.uk
Tailored presentation of results:
Monthly Scorecards with
dimensions
Daily Key Performance
Indicators (KPIs)
80%
85%
90%
95%
100%
Integrity
Completeness
UniquenessConsistency
Conformity
75%
80%
85%
90%
95%
100%
May June July August
Overall Quality Completeness Consistency
Conformity Uniqueness Integrity
-
10,000
20,000
30,000
40,000
50,000
60,000
70,000
80,000
90,000
100,000
May June July August Dept A Dept B Dept C Dept 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
Aimed at:
- Sponsors.
- Decision Makers.
Aimed at:
- Data Practitioners.
- Highly dependent stakeholders.
Data toValue Ltd, 42-44 Bishopsgate, London EC2N 4AH
www.datatovalue.co.uk
Wider outcomes
- Significantly changed attitudes towards Data Quality
Management.
- Creation of a DQ Competency centre through delivery,
not drafting business cases.
- Human Capital development.
- Pandora became viewed as an essential tool for
Enterprise Data Quality Management & 'data' aspects of
projects.
Data toValue Ltd, 42-44 Bishopsgate, London EC2N 4AH
www.datatovalue.co.uk
How can I start? + Product demonstration
Product Demonstration
Tips:
- No better time to start tackling DQ than now if you
possess the right tools.
- Start with smaller, high priority issues & progress
towards enterprise view.
- Think & Act LEAN – Iterations, small batches, well
defined components of work...
Interested in more?
- Download the free tool....
- Data to Value offer a range of Lean IM services....
Data toValue Ltd, 42-44 Bishopsgate, London EC2N 4AH
www.datatovalue.co.uk
Questions?

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The Great Data Debate (4) Implementing a lean approach to Data Quality Management using X88 Pandora

  • 1. The Great Data Debate – Do data quality dimensions have a place in assessing data quality? DAMA UK/ BCS Data Management Specialist Group – 20th June 2013
  • 2. Implementing a lean approach to Data Quality Management using X88 Pandora 04 James Phare, Data to Value Ltd
  • 3. James Phare Managing Director – Data toValue Ltd. James.phare@datatovalue.co.uk www.datatovalue.co.uk Mark Hodson Director – X88 Software Ltd. mark@x88.com www.x88.com Implementing a lean approach to Data Quality Management using X88 Pandora.
  • 4. Data toValue Ltd, 42-44 Bishopsgate, London EC2N 4AH www.datatovalue.co.uk Introduction Background: - The role. - The company. - The Information Management Strategy & Vision. Motivation for looking at DQ tools: - Infrastructure implemented – where's the insight? - Difficulty knowing scale of DQ problems. - Regulatory, reputational & legal drivers. - Siloed tools & approaches. - Cost & complexity.
  • 5. Data toValue Ltd, 42-44 Bishopsgate, London EC2N 4AH www.datatovalue.co.uk Introduction – cont. Data Quality Tools market growth – what's all the fuss about? Due diligence process. Common features across tools: - Industrial strength DQ features. - Some tailored for key requirements (AML, CDI etc). - Specialised rather than commodity tools. Principal Concern....?
  • 6. Data toValue Ltd, 42-44 Bishopsgate, London EC2N 4AH www.datatovalue.co.uk Aren't we supposed to be moving responsibility for Data out of the basement?!
  • 7. Data toValue Ltd, 42-44 Bishopsgate, London EC2N 4AH www.datatovalue.co.uk Progression to selecting Pandora - Extremely intuitive for non technical users. - Performance & Flexibility. - Easy to measure, quantify & analyse results. - Powerful presentation capabilities. - Suited our Lean approach to Information Management.
  • 8. Data toValue Ltd, 42-44 Bishopsgate, London EC2N 4AH www.datatovalue.co.uk The implementation plan Focus on financial Master Data sets: – Products (Investment Funds). – Investors. – Counterparties. – Suppliers. – Securities. Data governance plans – Pandora 'power users' working closely with data stewards in respective business areas. Desire for a competency centre in DQ Management.
  • 9. Data toValue Ltd, 42-44 Bishopsgate, London EC2N 4AH www.datatovalue.co.uk The Pilot project – Product Data A baptism of fire! - Remodelling & documenting. - Data Migrations & Integration. - Matching, de-duping, Standardising & Cleansing. - DQ Scorecards & KPIs. The Challenges: - Triaging root cause issues. - Communicating progress to senior stakeholders. - Managing expectations & 'public relations'. The results? - Huge step change in investor experience – website, reports etc. - Improved decision making. - Reductions in operational, regulatory & reputational risk. - 60% reduction in data maintenance requirement. - Other reductions in cost & complexity. Simultaneously!
  • 10. Data toValue Ltd, 42-44 Bishopsgate, London EC2N 4AH www.datatovalue.co.uk Tailored presentation of results: Monthly Scorecards with dimensions Daily Key Performance Indicators (KPIs) 80% 85% 90% 95% 100% Integrity Completeness UniquenessConsistency Conformity 75% 80% 85% 90% 95% 100% May June July August Overall Quality Completeness Consistency Conformity Uniqueness Integrity - 10,000 20,000 30,000 40,000 50,000 60,000 70,000 80,000 90,000 100,000 May June July August Dept A Dept B Dept C Dept 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 Aimed at: - Sponsors. - Decision Makers. Aimed at: - Data Practitioners. - Highly dependent stakeholders.
  • 11. Data toValue Ltd, 42-44 Bishopsgate, London EC2N 4AH www.datatovalue.co.uk Wider outcomes - Significantly changed attitudes towards Data Quality Management. - Creation of a DQ Competency centre through delivery, not drafting business cases. - Human Capital development. - Pandora became viewed as an essential tool for Enterprise Data Quality Management & 'data' aspects of projects.
  • 12. Data toValue Ltd, 42-44 Bishopsgate, London EC2N 4AH www.datatovalue.co.uk How can I start? + Product demonstration Product Demonstration Tips: - No better time to start tackling DQ than now if you possess the right tools. - Start with smaller, high priority issues & progress towards enterprise view. - Think & Act LEAN – Iterations, small batches, well defined components of work... Interested in more? - Download the free tool.... - Data to Value offer a range of Lean IM services....
  • 13. Data toValue Ltd, 42-44 Bishopsgate, London EC2N 4AH www.datatovalue.co.uk Questions?