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Data Quality Facilitation GS1 Roles Local Data Quality Processes (LDQP)

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Presentation on theme: "Data Quality Facilitation GS1 Roles Local Data Quality Processes (LDQP)"— Presentation transcript:

1 Data Quality Facilitation GS1 Roles Local Data Quality Processes (LDQP)

2 © 2012 GS1 Local Data Quality Process (LDQP) Role of GS1 GS1 relies on the work of Member Organisations and the collaboration between them and GO to serve the different communities and regions across the world To ensure improvements in DQ, circumstances need to be considered for a successful collaboration: Mix of different standards need to be implemented Huge influence of local needs and practices Different deployment capacities and drivers exist for different MO’s

3 © 2012 GS1 Local Data Quality Process (LDQP) Role of Global Office GS1 Global Office can help by: Training MO’s on DQ best practices and utilisation of DQ tools Providing DQ definitions and guiding principles Maintaining and facilitating revisions of all global and source documentation of global standards Promoting knowledge transfer and collaboration among MO’s Supporting MO’s and their DQ initiatives Facilitating and supporting execution of global DQ pilots (as needed)

4 © 2012 GS1 Local Data Quality Process (LDQP) Role of Global Office 4 Training & Modules on DQ & DQF Online Self-Paced (updated) Hands on sessions – as requested by MOs, As demand dictates we may schedule sessions in conjunction with I&S or regional forum events. Detailed Implementation training on DQF Self assessment Product inspection KPIs Monitor & continuous improvement

5 © 2012 GS1 Local Data Quality Process (LDQP) Role of Global Office 5 GS1 Program/ Projects OverviewOwnerStatusUser Base Data Quality Framework (DQF) Comprehensive platform of Industry DQ Guidelines (B2B) GS1 GOAvailable / Implemented Local MO’s Data Sources Data Recipients 3 rd Parties GS1 MO Programs Various local support programs with many different capabilities and features Local Country MO Available / In Progress Local MO’s Data Sources Data Recipients Data Quality 2020Expansion of DQF for B2B2CGS1 GOIn ProgressLocal MO’s Data Sources Data Recipients 3 rd Parties

6 © 2012 GS1 Local Data Quality Process (LDQP) Role of Member Organisations (MOs) The roles of GS1 Member Organisations are to: Monitor and identify the specific needs of each region Develop and deploy new solutions and services based on market environment Deliver training and facilitate knowledge transfer to their membership Develop a platform for collaboration in the region Enforce the use of best practices and GS1 standards in their community Facilitate improving DQ among their membership

7 © 2012 GS1 Local Data Quality Process (LDQP) Role of User/Client Data owner Create, maintain, and correct master data for their products Communicate or Synchronize data to trading partners

8 © 2012 GS1 Local Data Quality Process (LDQP) Why should GS1 get involved? We operate in multiple sectors & industries We are a fully integrated global organisation We are a platform for collaborative agreements between trading partners Our mission is to be the neutral leader enabling communities to develop and implement global standards providing the tools, trust and confidence.

9 © 2012 GS1 Local Data Quality Process (LDQP) Know your Audience 9 Need to understand your client/audience before you can help them What are there concerns? What are they confused about What do they need to know?

10 © 2012 GS1 Local Data Quality Process (LDQP) Data Quality Insight - UK 2012 10 A comparison of the 2010 and 2012 survey results show a lack of progress towards improved data management and quality initiatives. Organisations are increasingly recognising the importance of data quality and the role that upper management should be playing in ensuring this. At the same time financial stresses and weak trading conditions are forcing companies to look inward and not provide the means, processes or systems required to allow data quality initiatives to be successful. There is a continuing gulf between perceptions and actions. Contact information collected by organisations is, in many cases, still not checked or validated, and data is not measured or financially valued enough at a strategic level. Organisations do not truly understand the benefits of data quality management (DQM) and its ability to help them provide better customer service, achieve a single customer view, or improve strategic marketing. For most organisations DQM remains an issue of operational improvement and not something of true strategic relevance. The gap between the organisations stating that they had a data quality management strategy and realising it is still too large. Graham Rhind, GRC Database Information, Capscan Ltd (Aug 2012)

11 © 2012 GS1 Local Data Quality Process (LDQP) What is it? 11 An DQ initiative or programme offered to trading partners within a country or a specific geographical region It is adapted to the specific needs of the market/region where they are offered Goal: to improve data quality processes and capabilities for the supply chain (locally and globally) GS1 MOs, industry associations and GDSN-certified data pools are strongly encouraged to collaborate within a region in order to align LDQPs and avoid redundant processes for trading partners.

12 © 2012 GS1 Local Data Quality Process (LDQP) What is it? 12 LDQPs are devised, developed and operated by local organisations Local organisations own and have rights over any specific publications, tools, methodologies, etc. they develop as part of a LDQP except for any piece taken from copyrighted GS1 materials Local organisations have full liberty to define the characteristics of a LDQP in order to respond to local business needs Local organisations have full liberty to define the terms of agreement under which the LDQP will be offered Local organisations have full liberty to define the business/funding model of a LDQP GS1 retains ownership of all source documentation produced by GS1 Global office posted on www.gs1.org at all timeswww.gs1.org GS1 (Global Office) will provide support on the use of its documentation to its members in good standing

13 © 2012 GS1 Local Data Quality Process (LDQP) Conditions? Prior to developing a LDQP, the following conditions are assumed. That: Trading partners are engaged in dynamic supply chain processes where synchronised master data is used GS1 Standards are implemented locally and are in use by trading partners Local GS1 organisations are able to deliver services to support the trading partners There is common understanding and agreement on the needs and areas that need to be addressed through a LDQP There is solid trading partner endorsement for the LDQP that will be established within a region GS1 MOs and GDSN-certified data pools that manage trading partners will act as LDQP facilitators and promote regional collaboration

14 © 2012 GS1 Local Data Quality Process (LDQP) Benefits? When collaboration across local programs exists, important benefits are realised: Local support for DQ implementation Elimination of redundant DQ processes Consistent application of GS1 Systems and business rules Leverage global standards to resolve local supply chain challenges Improved collaboration with local trading partners and industry Harmonised DQ practices across regions Successful DQ programmes breed success across regions Consistent approach to DQ reduces barriers for adoption Improved DQ in the supply chain

15 © 2012 GS1 Local Data Quality Process (LDQP) Why Develop DQ Services? Neutral third party that can be trusted by both retailers and suppliers Closeness to standard management and implementation Reinforce, add value to other product lines (GDSN, eCom, Barcodes) Expand to new sectors Added-value services Positioning on the industry Additional revenue opportunities 15

16 © 2012 GS1 Local Data Quality Process (LDQP) Potential DQ Service Offerings Training and education Measurement services Product inspections Collaborative platform Data capture Consulting services Implementation services Self-assessment support Data quality ranking Data comparisons 16

17 © 2012 GS1 2011 GS1 MO DQ Programmes Inventory Summary results reflecting current and future activities Training & Education Data Quality Awareness & Communication Community Management Product Inspection s Validations & Integrity Checks Accreditation & Authentication On- boarding ToolsConsulting GS1 MO Australia Brazil Canada China Colombia Croatia France Germany Hong Kong Hungary India Italy Japan Mexico Netherlands New Zealand Poland Russia South Africa Spain Sweden UK US Table key Active; actions or services of this sort have been rolled-out and/or implemented. Under development; activities of this type are not yet fully operational but they are being developed and are expected to be released in the short term. Tentative; actions may tentatively occur in the short- term future but no work has been started. Plans may be not fully approved or may be still dependant on other factors. None; No plans or deployed activities exist in this area. by Category and MO Local Data Quality Process (LDQP) Potential DQ Service Offerings – MO Inventory

18 © 2012 GS1 Who can help me? Users - Your local GS1 MO Local DQ Programmes serving local needs. There is no interoperability between MO programmes but a common thread is the Data Quality Framework (DQF) From the GS1 MO Survey existing or planned DQ Programmes: 86% have Awareness & Communication activities 74% perform Community Management activities 70% offer Training & Education activities 52% with Consulting activities 56% perform Validations & Integrity Checks 43% have Product Inspections. 30% have Accreditation & Authentication activities 39% provide On-boarding tools Full survey detail is on the GS1 DQ website

19 © 2012 GS1 Local Data Quality Process (LDQP) Training and education What is it? Providing data quality education through documentation and courses. MOs can develop also workshops to facilitate the work of their members. What do I need for this? Create training manuals or information resources where all the knowledge is stored. From there you can easily extract the information and shape it into different means of delivery. Participate at GSMP and make sure that you can keep up with all changes in standards so your services remain always well sync’d. Important considerations Good education courses can be positioned as a very valuable offering in our members’ minds. 19

20 © 2012 GS1 Local Data Quality Process (LDQP) Training and education – DQF workshop Information may be difficult to communicate in a training session; organisations need to work on practical/real issues to understand the applicability of the Framework for their business. A workshop is therefore a very ‘hands-on’ approach to familiarise users with the application of the Framework. Each GS1 MO can define of course how to best include this in their service portfolio.

21 © 2012 GS1 Local Data Quality Process (LDQP) Training and education – DQF workshop A workshop might cover: Basic introduction to GS1/GDSN/Supply chain Introduction to data quality principles Technical information about the DQ Framework, tools and its use Activities for participants so they get to use the Framework. These can also be based on real issues that exist in the participants’ organisation Materials for the sections may be extracted from the DQF Introduction or Implementation training course.

22 © 2012 GS1 Local Data Quality Process (LDQP) Measurement service What is it? A process to measure and inspect products, comparing the information to that which had been previously obtained/prepared by customers. What do I need for this? Definition of a clear scope for the service: what is vital for your members to control and most importantly, to what extent? Appropriate measurement instruments, technology and facilities Availability of clear documentation over measurement rules and attribute definitions Important considerations Measurement services can take multiple forms and variants. A critical point is to have a clear process that supports the business requirements critical for your members. Do not over-reach on what this is meant to do: a measurment service should always be coupled with other measures to achieve sustainability. 22

23 © 2012 GS1 Local Data Quality Process (LDQP) Data Capture What is it? Generate the master data that is entered into the data pool or system that a company uses. What do I need for this? Flawless data generation procedures and rigorous validation and verification processes. Important considerations MOs interested on this type of service should be aware of the responsibility inherited by being the ones producing the data. Additionally there is the complexity of gathering all relevant item data to consider. There should be a clear definition of what data can GS1 create and which has to be provided by the company itself. Process can become a little complex. 23

24 © 2012 GS1 Local Data Quality Process (LDQP) Consulting Services What is it? Offering consulting to members who are unsure what needs to be improved in their organisations in order to have a better data quality output. What do I need for this? Suggested to have a solid methodology for project management and consulting (e.g. PRINCE2, PMI). Solid knowledge of the application of standards on different business processes and their impact on the supply chain output Important considerations Consulting services are some of the highest-valued type of service offerings and offering result in (or require!) a strong positioning of the organisation offering them Increased value if GS1 is able to follow up on the implementation of recommendations. 24

25 © 2012 GS1 Local Data Quality Process (LDQP) Implementation Services What is it? Offering services to implement standard-based solutions that help improve the efficiency of the processes of user companies. What do I need for this? Particular requirements extremely variable. Clarity over the implications of implementing a solution. Important considerations Maybe GS1 is not able to provide implementation for all types of solutions (for instance, developing software). Yet it can be in a position to ‘join the dots’ and connect solution providers with the market in a more efficient way. Clear policies over the liability for the implementation of a given solution. 25

26 © 2012 GS1 Local Data Quality Process (LDQP) Data Quality Ranking What is it? Creating a benchmark that can track different KPIs of the various companies active in a market in order to compare progress in achieving superior data quality. What do I need for this? Defined data quality KPIs based on the KPI model from the Data Quality Framework The ability to keep data quality KPIs up to date and constantly published to the community. Important considerations This technique, even if not done with all the members, has a lot of value to help keep track of the progress of companies. It can also be organised in the context of a specific collaboration between a retailer and some of its selected suppliers, for instance. 26

27 © 2012 GS1 Local Data Quality Process (LDQP) Data Comparisons What is it? Making comparisons for customers between two versions of the data they may have in order to identify inconsistencies. What do I need for this? Have means to make automatic comparisons of the data Tools to follow up on the origin and nature of the discrepancies identified during the analysis. Important considerations Having access to the areas of opportunity in the data itself can be an important trigger for organisations wishing to track down and resolve the causes for bad data. As a stand-alone service value is limited, but paired with additional measures can help to identify some root causes for bad data. 27

28 © 2012 GS1 Local Data Quality Process (LDQP) Harmonising Services Regardless of the services and actions established for data quality, all GS1 MO’s should try to remain aligned with standards at all times. That will reduce potential barriers for trading partners and will boost the value of the services. A series of principles has been developed to ensure all MO’s services are developed according to best practices: http://online.gs1.org/secure/docs/gdsn/Guidelines_for_L ocal_Data_Quality_Processes.pdf http://online.gs1.org/secure/docs/gdsn/Guidelines_for_L ocal_Data_Quality_Processes.pdf

29 © 2012 GS1 Local Data Quality Process (LDQP) How to set up data quality services The GDSN MO Toolkit provides a comprehensive approach to enable GDS in your country. Within this Toolkit, a chapter to enable good data management practices. Make sure that you leverage and follow the recommendations from the GDSN MO Toolkit when defining the best service combination and approach for your market.

30 © 2012 GS1 Local Data Quality Process (LDQP) Summary – Elevator Pitch GS1 has a privileged position in the market that make it uniquely qualified to engage in data quality activities. GS1 GO and the GS1 MO’s need to collaborate closely to ensure data quality goals are met on the most effective way. There are several type of services that can be developed around data quality. The choice of combination of services depends on the local needs and the strategy of each GS1 MO.

31 © 2012 GS1 Local Data Quality Process (LDQP) Summary – Elevator Pitch Data quality is to be taken one step at a time ; avoid overreaching as that can hamper an organisation’s ability to reach its goals Prioritise and focus on those things that make the biggest difference for you and your trading partners Monitor your plans and verify that your work is always within the defined scope

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