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Data Quality Lunch and Learn
Gabriel Sobrino
GSMP Spring Event 2008
Brussels, Belgium
Global Standards Management Process
©2007 GS1 US
Agenda
1. What is Data Quality?
2. What is the Data Quality Steering Committee?
3. What is the Data Quality Framework?
4. The Data Quality Challenge
5. How can I learn more?
1.- What is Data Quality?
Global Standards Management Process
©2007 GS1 US
Why Data Quality?
• To realise the full potential of the GDSN, Trading Partners must ensure the following:• Accurate product information is aligned across
internal manufacturer systems
• Good quality product information is synchronised through the GDSN
• Product information within retailer systems is aligned with product information received via the GDSN
The industry must be able to trust the quality of data flowing through the GDSN!
Global Standards Management Process
©2007 GS1 US
Las 5 dimensiones de la calidad de datos*:CompletenessCompleteness All the required values are electronically recordedAll the required values are electronically recorded
*Source: GCI/CapGemini Report: “Internal Data Alignment”, May 2004
Standards-basedStandards-based Data conforms to industry standardsData conforms to industry standards
ConsistencyConsistency Data values aligned across systemsData values aligned across systems
AccuracyAccuracy Data values are right, at the right timeData values are right, at the right time
Time-stampedTime-stamped Validity timeframe of data is clearValidity timeframe of data is clear
Data Quality Principles
Manufacturer
Retailer
GDSN
Pro
du
ct In
form
ati
on
Recipient Systems
Source Systems
PIM/Publication Process
PIM/Receiving Process
Global Standards Management Process
©2007 GS1 US
Why are internal processes important:The “Leaky Pipes” of Data Quality
2008 2009
Process
Constant data corrections and fixes
Internal
Internal processes
2.- What is the Data Quality Steering Committee?
Global Standards Management Process
©2007 GS1 US
What is the DQ Steering Committee?
• The Data Quality Steering Committee is a group established to function as an advisory body to the Board of Directors of GS1 GDSN Inc. under the stewardship of GS1 (management & funding). The steering committee is responsible to manage the Data Quality Framework.
Global Standards Management Process
©2007 GS1 US
Data Quality Steering Committee
(DQF)
GS1 Management Board
GS1 GDSN, Inc. Board of Directors
Data Quality Adoption Subgroup
Global Standards Management Process
©2007 GS1 US
Mission
The purpose of the Data Quality Steering Committee is to guide the industry toward improved data quality from source to consumer. We are committed to developing the Data Quality Framework, tools and education, complemented by best practices for all users, addressing the business needs and incorporating continuous improvement feedback from the industry. The ultimate objective of these deliverables is to positively affect data quality in the supply chain as used by trading partners across a variety of sectors and especially within GDSN, to reduce cost, increase efficiency and consumer satisfaction.
Global Standards Management Process
©2007 GS1 US
Tasks
1. Data Quality FrameworkThe Steering Committee will own, produce and maintain the GS1 Data Quality Framework to be used as a “best practice” guide collaboratively by trading partners.
2. Self-AssessmentThe Steering Committee will be responsible for the ongoing maintenance of the DQ Self-Assessment procedure. The Self-Assessment enables companies to assess their own internal processes for data management against the GS1 Data Quality Framework.
3. CertificationThe Steering Committee has the responsibility to evaluate the need and readiness for a data quality certification process and, if necessary, to create a definition and model.
Global Standards Management Process
©2007 GS1 US
Tasks
4. Continuous ImprovementThe Steering Committee recognises that our industries are dynamic and changing. As best practices and standards evolve, the Steering Committee will implement and maintain a feedback process for continuous improvement and relevance of the DQ Framework.
5. Industry BenchmarkingThe Data Quality Steering Committee is responsible to develop benchmark measurements for tracking the success of implementing the Data Quality Framework.
6. Marketing, Communication and EducationOne of the key value-added responsibilities of the Steering Committee is to support the adoption of the Data Quality Framework through: a) Marketing - Sharing compelling business cases and desired outcomes. b) Education - Enabling the necessary knowledge and tools. c) Communication - Continuously informing the extended industry community
and constituent groups on progress and timeline of Steering Committee activities to increase awareness.
3.- What is the Data Quality Framework?
Global Standards Management Process
©2007 GS1 US
The Data Quality Framework
• The Data Quality Framework (DQF) brings together a comprehensive set of best practices that organisations can follow to set up internal processes for data quality. The DQF provided the basic elements for a sustainable, long term solution for data quality.
Global Standards Management Process
©2007 GS1 US
Data Quality Framework Guiding Principles
• Based on user needs• Strongly encouraged, yet voluntary• Can adapt to the needs and requirements of specific
trading partner relationship• Comprehensive, yet flexible
• Can be included in any kind of quality management system
• Minimises implementation costs – enabling benefits• Complementary to GS1 System standards• Open to several ways to show compliance
Global Standards Management Process
©2007 GS1 US
Data Quality Framework
• Main sections:1. Data Quality Management Systems (DQMS) Requirements,
including chapters on:• Self-declaration• Certification• A management system like ISO 9000, aimed at the proper
management of data
2. Self-assessment procedure• Procedure to execute a self-assessment • Questionnaire to assess conformity to DQMS requirements• KPI Model to validate actual accuracy of the data
3. Data Inspection Procedure• A procedure for the physical inspection of products and data
• Stand alone, or• Part of a Data Quality Management Systems audit
Global Standards Management Process
©2007 GS1 US
The Industry “DQ Framework” Elevator Pitch
• What is it? A process for improving data quality within your business
• Who manages it? GS1 (GDSN) manages the Framework for the industry
• Why do I need to use it? Because inaccurate, unreliable data is costing you and your trading partners money
• What is the role of the GS1 Member Organisation?Educate and support the trading partners
Rationale & Benefits:
Without good, accurate data, Global Data
Synchronisation will only enable the rapid, seamless transfer of
bad data!
Data Quality is achievable & many
companies are reaping benefits now
Rationale & Benefits:
Without good, accurate data, Global Data
Synchronisation will only enable the rapid, seamless transfer of
bad data!
Data Quality is achievable & many
companies are reaping benefits now
For more information visit the link below: http://www.gs1.org/dataquality
4.- The Data Quality Challenge
Global Standards Management Process
©2007 GS1 US
How to get started
Step 1 Acknowledge you are not where you would like to be on data quality
Step 2 Decide to take on the Data Quality Challenge
Step 3 Familiarise yourself with the DQF
Step 4 Do a self-assessment using the DQF
Global Standards Management Process
©2007 GS1 US
Closing the cycle
• Step 5 Evaluate results of the assessment and plan changes
• Step 6 Implement changes
• Step 7 Re-assess your organisation
• Step 8 Enjoy the benefits from good quality data
20
Global Standards Management Process
©2007 GS1 US
Timeline
Education
and
preparation
Education
and
preparation
Project
kick-off
Project
kick-offResults
calculation
Results
calculation
Publication
of the results
(phase 1)
Publication
of the results
(phase 1)
Self-
assessment
phase
Self-
assessment
phase
Feb 09April 08 May 08 Aug 08 Dec 08
5.- How can I learn more?
Global Standards Management Process
©2007 GS1 US
Data Quality Resources
• Global Data Quality Helpdesk:
• New and improved Data Quality Website:
http://www.gs1.org/gdsn
Global Standards Management Process
©2007 GS1 US
GDSN Data Quality Web Site Resources
• Data Quality Framework and support documentation
• Frequently Asked Questions (FAQs)
• Data Quality Implementation Guide
• Data Quality Program Internal Implementation Example
• DQ Framework Background Presentation
• Data Quality Videos
• Links to Related Technical Documents • Measurement Tolerances Standard• Package Measurement Rules for Data Alignment• GDSN Standards Documents
Contact Details
Gabriel Sobrino
Programme Manager, Data Quality
GS1 GDSN, Inc.
T + 31 20 5113898
