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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*: Completeness All the required values are electronically recorded *Source: GCI/CapGemini Report: Internal Data Alignment, May 2004 Standards-based Data conforms to industry standards Consistency Data values aligned across systems Accuracy Data values are right, at the right time Time-stamped Validity timeframe of data is clear Data Quality Principles Manufacturer Retailer GDSN Product Information 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 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 Framework The 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-Assessment The 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.Certification The 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 Improvement The 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 Benchmarking The Data Quality Steering Committee is responsible to develop benchmark measurements for tracking the success of implementing the Data Quality Framework. 6.Marketing, Communication and Education One 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:
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-off Results calculation Results calculation Publication of the results (phase 1) Publication of the results (phase 1) Self- assessment phase Self- assessment phase Feb 09 April 08May 08Aug 08Dec 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:
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 E
Data Quality Framework and Data Synchronisation. ©2008 GS1 2 Contents 1.Why Data Quality?Why Data Quality? 2.What is Data Quality?What is Data Quality?
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