1. September 2013 Introduction to Lean Data Quality
services
2. Data to Value Nigel Higgs Experienced Information Management
Consultant who has led practices within Financial Services,
Insurance & Government. James Phare Former Head of Data
Architecture & Information Management at Man Group plc. Data to
Value is a newly formed consultancy specialising in all aspects of
Information Management Specialists at bridging technology &
business understanding gap within Financial Services We offer a
fresh approach compared to other large consulting firms Our
principles are founded on lean & agile approaches with our
clients requirements & priorities at the forefront of our
work
3. Traditional approaches to DQ Management Do nothing / ignore
(not recommended!) Enterprise data quality programmes Ad hoc using
traditional tools (Excel etc) Outsource responsibility to third
party
4. Lean Approach to DQ Management Focused on minimising the
allocation of resources to any activity not linked to creating
value for the customer Key features: Early adopters, prototyping
& Minimum Viable Products (MVPs). Wide IM skillsets & cross
functional teams. Smaller batch sizes / more frequent iterations.
Hypotheses, metrics & validated learnings. Build-Measure-Learn
cycle & Pivots.
5. The Process Data loaded & profiled, discovery process
begins DQ Rules used to test hypotheses, capture metrics &
quantify defects Results presented for review Defects prioritised,
managed & resolved Results inform both recurring & ad hoc
responses to DQ issues by Business data owners Discover
MeasureManage
6. Scorecards with dimensions 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 Tailored presentation of results
7. Demonstration of X88 Pandora for Lean Data Quality
Management
8. Lean Information Management Specialists. Data to Value Ltd
42-44 Bishopsgate London EC2N 4AH T +44 (0)208 278 7351
www.datatovalue.co.uk Nigel Higgs [email protected]
James Phare [email protected]
