GS1 Global Brand PPT Template

Data Excellence User Board & Global Data Model

How do we implement and govern the Global Data Model in Europe?

Jan Somers, Tomas Tluchor, Henk-Jan Timmerman, Markus Mueller, Mark van Eeghem,

Armand Schins, Christian Przybilla, Jean-Mark Klopfenstein, Laurent Seroux, Christian

Zaeske

3 July 2020

Anti-Trust

• GS1 operates under the GS1 anti-trust caution. Strict compliance with anti-

trust laws is an always has been the policy of GS1.

• The best way to avoid problems is to remember that the purpose of the

committee is to enhance the ability of all industry members to compete more

efficiently.

• This means:

- There shall be no discussion of prices, allocation of customers, or products,

etc.

- If any participant believes the group is drifting toward impermissible

discussion, the topic shall be tabled until the opinion of counsel can be

obtained.

• The full anti-trust caution is available at www.gs1.org

Agenda

• Introduction & ambition

• General update on the GS1 Global data model

• Implementation of GDM in European markets

BREAK – 5 MINUTES

• Governance in Europe (locally and regionally)

• Industry engagement in Europe

• Next steps and closing

Audience: 231 people (tentative) accepted

Attendees

Associations

Brand owner

GS1

Retailer

Solution provider

• And… - Multinationals

- United States

- South Africa

Meeting etiquettes

• Big audience => tight agenda

• Meeting will be recorded

• Please mute yourself

• Questions through chat

- After each section limited time

- All questions will also be answered afterwards

• Thank you in advance for participating

Jan Somers

CEO of GS1 Belgium & Luxembourg

Sponsor GS1 in Europe & Sponsor the GDM Worldwide

Introduction & Ambition

Introducing Jan Somers

• Jan Somers

• GS1 Belgium & Luxembourg

• CEO

• [email protected]

Introducing Henk-Jan Timmerman

• Henk-Jan Timmerman

• GS1 in Europe

• Project coordinator

• [email protected]g

No ambition, no plan, no progress

• We need to be ambitious to change the way we exchange data

• Why?

- Data exchange is difficult due to national data models and different usage of

attributes

- Every data recipient needs a data set or at national level

- Trade is no longer national, our way of data exchange is outdated

- We need a mind shift and another way of working

• What?

- GMD harmonises and simplifies the data we exchange, worldwide, regionally

• How?

- Get industry, and GS1 and CGF together and implement

The GS1 Global Data Model

One product. One experience. Every

channel.

The GS1 Global Data Model helps leverage

product content for a seamless shopping

experience across every channel.

By simplifying and harmonising the exchange of product data

around the world, the GS1 Global Data Model standard

increases operational efficiency for brand owners and retailers

and improves data accuracy and completeness for consumers.

The history of the Global Data Model

2018

2019

2020

Conception

Development

Implementation

Ambition of Europe

• Help and stimulate change and mindset

• Help the industry to implement the GDM

in 49 GS1 Member organisations,

in consultation with the industry

- Implement global and regional layer

- Review local layer

• Grow the community

- Adding countries

- Adding industry users

• Review adoption in Europe

with specific governance

“With the GS1 Global

Data Model, we hope

to provide consistent

information to

consumers across

retailers, online

players and markets”

General update on the GS1 Global Data Model

Introducing Markus Mueller

• Markus Mueller

• GS1 Global Office

• Programme director global data model

• [email protected]

Agenda General Update GS1 Global Data Model

• Introduction & ambition

• General update on the GS1 Global data model

- General update on the Global Data Model (Markus Mueller)

- GDM statistics & tooling (Mark van Eeghem)

- Nestlé pushing for Data Quality (Jean-Marc Klopfenstein)

- Questions

• Implementation of GDM in European markets

• Governance in Europe (locally and regionally)

• Industry engagement in Europe

• Next steps and closing

Markus Mueller (Global Office)

General update on the Global Data Model

The GS1 Global Data Model

Standard is the set of

foundational data attributes

that are needed to list, order,

move, store and sell products

To improve the omnichannel consumer experience, brand owners and retailers

should consider what truly differentiates and what can be standardised

WEBSITE

▪ Product data is comprised of both foundational and

differentiated attributes

▪ Foundational attributes can be harmonised to

enable timely, accurate, and consistent data exchange

for brand owners and retailers

▪ Retailers and brand owners can shift focus to

designing differentiated consumer experiences

versus verifying data quality

▪ Harmonised data will also unlock new opportunities

through advanced analytics

Foundational data is non-competitive in the

digital and physical retail environment

Overall, the Global Data Model will enable improved consumer experience and

will reduce complexity by harmonising foundational data across the industry

Simplified and

Harmonised

Global Data Model

(GDM)

Increased

transparency and

seamless

omnichannel

experience

Faster, easier,

cheaper

management and

exchange of

foundational data

Improve consumer

experience

Increase business

partner efficiencies

GDM uses the concept of layers to identify product attributes required for data

exchange

Global core layer

▪ Comprised of attributes required across all product categories

Global category layer

▪ Comprised of attributes

required only for a specific product category

(i.e., FMCG Food, DIY…), applicable at a global level

Regional category layer

▪ Comprised of attributes

required only for a specific product

category, only for a specific region

Country layer

▪ Comprised of attributes

required for a specific product category, only

for a specific location within a region

1 These attributes are mandatory or optional depending on the product subcategory (e.g. “Storage temperature” is mandatory for “Meat” subcategory, while it’s not mandatory for “Canned shelf stable products” subcategory)

2 These attributes are mandatory or optional depending on region (e.g. “Allergen statement” is mandatory in North America region due to regulatory requirements, while it’s not mandatory in other regions)

3 These attributes are mandatory or optional depending on country (e.g. “Packaging Material Quantity” is mandatory in some countries, while it’s not mandatory in others)

Categories covered by the standard

Current release covers the following retail categories:

• FMCG Food & Near Food

• Alcoholic beverages

• Pet Food

• Tobacco

Planning horizon:

The GS1 Advisory Council has encouraged the GDM team to plan the GDM

development for Non-Food categories, e.g. Cosmetics or Apparel in alignment with

the new Marketplaces Advisory Team.

The term "near-food products" refers to

drugstore products (e.g. skin care

products), but also cleaning agents, etc.

So products that are not food, but are still

offered by supermarkets because they

represent everyday consumer goods.

Getting ready to implement the GS1 Global Data Model

More than 50% of CGF Data Coalition members are planning to

implement the Global Data Model across 10 countries in 2020/21!

Q3/Q4 2019

Pilots & business case

Creating the foundation

Q1/Q2 2020

GDM & ADB Standard

Fast ratification

Q2-Q4 2020

Implementation & adoption

Initiate & orchestrate GDM

implementation together

Mark van Eeghem (Global Office)

GDM statistics & tooling

Introducing Mark van Eeghem

• Mark van Eeghem

• GS1 Global Office

• Senior Manager Global Data Model

• Mark.v[email protected]g

GDM Statistics – Distinct Attributes

Global

NoAm

AU/NZ

Local*

Total

Food

86 48 51 11 17 175

Near

Food

67 43 45 6 13 141

Pet Food

61 43 41 6 51 170

Alcoholic

Beverages

76 34 38 9 33 160

Tobacco

56 21 22 4 58 143

* Local Attributes are currently not assigned to individual countries

Interim GDM navigator

• An INTERIM tool (until July 2021)

• For Manufacturers, Retailers, MOs, DP, … involved in

implementing Global Data Model.

• Allows user to get a global, regional and local view on the

GDM.

• Contains GDSN Information (Technical Properties - VRs –

Code Lists – Code Values) linked to GDM.

• Search for information on attributes, categories, sub-

categories, regions, countries, validation rules, code lists,

code values and GPC Bricks.

• It allows users to compare GDM Models, and manage (and

save) product profiles using all this combined information.

• Webinar to follow (link will be posted)

Interim GDM navigator

Jean-Marc Klopfenstein, Nestlé

Nestlé pushing for Data Quality

09/07/2020 Nestlé Corporate Presentation

Jean-Marc

Klopfenstein

Master Data Lead

Active within GS1 since 2015

Nestlé at a glance

▪ CHF 92.6 Bio in sales in 2019

▪ 291 000 employees in over 187

countries

▪ Over 2 000 brands

Over 1 billion Nestlé products sold every day

Data Quality is considered as high when it fits intended usage in Business Flows

• Complete - Available

• Accurate - Right First Time

• Conforming - Aligned to business rules, e.g.

industry Standards

• Consistent – Aligned automatically across Flows &

IT platforms, internally and externally

• Timely - Valid for defined time period, not obsolete

• Not Duplicated - Reliable

Root causes of Data Quality Issues include:

• Knowledge (e.g. Measure of physical product

incorrect or not aligned with external standards)

• Lack of definitions result in inconsistent, non-

conforming and/or inaccurate data

• Incorrect usage of Master Data within Flows/

Transactional data

• Industry has recognized the criticality of data

quality, using common standards, among others:

• Verified-By-GS1

• Global Data Model

• Digitalization Journey requests solid and accurate

data

Impact of non-quality

• Direct Costs (e.g. Fines from retailers)

• Indirect costs (e.g. rework, wrong decisions)

• TRUST

High Data Quality means data is… Why we have an opportunity NOW…

1. Define &

Measure

2. First-Time-Right

Data Entry

3. Automate

The virtuous circle to improve data quality

9 July, 202036

1. Measure

Monitor through business validation rules

2. First-Time-Right

when needed/possible, update

data entry screens to enforce

data quality at source

3. Automation

Automate data input leveraging business

validation rules

• Pre-population and validation

• Automatic creation

With the support of GS1, we can make a difference… TOGETHER

• Complete - Available

• Accurate - Right First Time

• Conforming - Aligned to business rules, e.g.

industry Standards

• Consistent – Aligned automatically across Flows &

IT platforms, internally and externally

• Timely - Valid for defined time period, not obsolete

• Not Duplicated - Reliable

Root causes of Data Quality Issues include:

• Knowledge (e.g. Measure of physical product

incorrect or not aligned with external standards)

• Lack of definitions result in inconsistent, non-

conforming and/or inaccurate data

• Incorrect usage of Master Data within Flows/

Transactional data

• Industry has recognized the criticality of data

quality, using common standards,

among others:

• Verified-By-GS1

• Global Data Model

• Digitalization Journey requests solid and accurate

data

Impact of non-quality

• Direct Costs (e.g. Fines from retailers)

• Indirect costs (e.g. rework, wrong decisions)

• TRUST

High Data Quality means data is… Why we have an opportunity NOW…

Implementation of GDM in European markets

Agenda Implementation of GDM in EU markets

• Introduction & ambition

• General update on the GS1 Global data model

• Implementation of GDM in European markets

- How to implement (Tomáš Tlučhoř)

- An example of an implementation plan (Jan Somers)

- Update on European markets (Henk-Jan Timmerman)

- Questions

• Governance in Europe (locally and regionally)

• Industry engagement in Europe

• Next steps and closing

Tomáš Tlučhoř, GS1 Czech republic / GS1 in Europe / GS1 Global Office

How to implement the Global Data Model

Introducing Tomáš Tlučhoř

• Tomáš Tlučhoř

• GS1 Czech republic

• Data Services Director

• [email protected]

GDSN already

implemented

Different strategies for different markets

• Get ambassadors – e.g. CGF Data Coalition Companies

• Introduce GDM at your GDSN working group

• Start with the attribute gap analysis

Starting with GDSN

• Get ambassadors – e.g. CGF Data Coalition Companies

• Establish GDSN working group

• Use GDM as your data model

No GDSN implementation

• Do a research – is there demand in your market? Are

there any potential ambassadors?

• What about tooling?

• Is it feasible for my market to be an early adopter?

Implementing GDM attributes

Core

Include all core attributes in

your data model

Include all global attributes

in data model for your categories

Include all European

attributes in data model for

your categories

Try to limit number of local attributes in your data model

to a minimum

No demand for some

Global and Regional

attributes in your

market?

• Explore why

• Report back to

GDM

Compare GDM attributes with attributes from your model

Attribute Gap Analysis

Analyse

• Use BMS IDs

• Tool available

• MO should do

the work

Present

• Missing

attributes

• Local attributes

• Group it (e.g.

B2C, taxes …)

Change

• Get inspired

• Clean it up

• Migrate

• Report back

Attribute analysis tool

• Excel tool will be provided soon

• Answers 2 main questions:

- What attributes are missing?

- What attributes are local, out of

scope or even proposed for

removal?

• All you need is list of your BMS IDs

Step 1: make your selection

Attribute analysis tool – local data model

Attribute analysis tool – list of gaps

There is more than attributes

Attribute definitions

• Make sure your local validation

rules are not in conflict with Global

Data Model.

• Some conditions of conditionally

mandatory attributes might be

different from current local data

models.

• Work in progress

• Dividing codes into Global, Regional

and Local layers to „highlight“

important codes.

• Better names and definitions where

Global/Regional codes are not clear.

• Attribute Definitions for Business

- use these business friendly names

and definitions for GDM attributes.

• There might be some changes – e.g.

startAvailabilityDateTime:

- GDSN Definition: The date (CCYY-

MM-DDTHH:MM:SS) from which

the trade item becomes available

from the supplier, including

seasonal or temporary trade item

and services.

- ADB definition: The date/time the

product is first available to ship

from the seller or the service is

available.

Code lists

Conditions and Validation

rules

Implement and maintain

Implement

• Agree on changes to your data model

• Provide documentation and training to

your community

• Agree on the timeline

• Include necessary changes to your

release schedule in an efficient way

• Learn from others – see an example

from BENELUX

Maintain

• Connect your local working group to the

Regional GDM governance.

• Report any issues you encounter when

implementing and using GDM.

• Follow and implement changes in the

GDM.

• Share your local layer.

Jan Somers, GS1 Belgium & Luxembourg

Implementation in the Benelux, an update

Global Data Model – Gap analysis

• Result of gap analysis ➔ Global Data Model vs. BENELUX data model = 106 differences

• Type of differences :

o New attributes that are not in the Benelux data model

o Attributes that will be removed and will no longer exist/are not included in GDM

o Difference between local fields and mandatory/conditional fields

o Different conditions for making an attribute mandatory

o Difference between optional, conditional or mandatory fields

o Change in definitions (broadening the conditions for the use of an attribute)

o Difference between BELU, NL and GDM

• Local stakeholders impact analysis

meeting for BELUX : 8

of July

Global Data Model – Implementation & timing

Timing Planning

April – May 2020

Gap

analysis on the attributes

July 2020

First

draft version of Benelux data model

July – September 2020

Impact analysis based on first draft version

→

Done by GS1 + members of Maintenance Group, Data Committee and

Onderhoudsgroep

June – September 2020

Defining the code lists by GDM team GS1

October 2020

Definitive data model (incl. code lists) will be established, based on the results

of the impact analysis

October 2020

Defining timing of implementation, with three options:

1. Full introduction in February 2021

2. Partial introduction in February 2021

3. GDM introduction later than February 2021

February 2021

Implementation (full or partial) release of data model

→

Data will be mapped as much as possible

After February 2021

Data will be completed by suppliers where necessary, timing needed still needs

to be determined

Henk-Jan Timmerman, GS1 in Europe

An update on implementation in Europe

Implementation in Europe – a prediction

Implementation started

(gap analysis):

• GS1 Belgium &

Luxembourg

• GS1 Czech Republic

• GS1 France

• GS1 Germany

• GS1 Netherlands

Implementation in Europe – a prediction

Intention to implement

(through industry or

MO):

• GS1 Austria

• GS1 Denmark

• GS1 Sweden

• GS1 Switzerland

Implementation in Europe – a prediction

Target markets prioritised

by industry or first

signals of interest for

implementation:

• GS1 Spain

• GS1 UK

• GS1 Poland

• GS1 Romania

• GS1 Turkey

Governance in Europe (locally and regionally)

Agenda Governance Global Data Model

• Introduction & ambition

• General update on the GS1 Global data model

• Implementation of GDM in European markets

• Governance in Europe (locally and regionally)

- Ahold Delhaize & Governance (Armand Schins)

- How is GS1 Germany organised on data? (Christian Przybilla)

- Setup of regional governance (Henk-Jan Timmerman)

• Industry engagement in Europe

• Next steps and closing

Armand Schins, Ahold Delhaize

Introduction on Governance

Introducing Armand Schins

• Armand Schins

• Ahold Delhaize

• Sr. Manager Data Quality &

Governance, AH Group (Albert Heijn,

Etos & Gall&Gall)

• Active within GS1 groups since 2004

One of the world’s largest food retail groups

Governance and GS1 representations

Global

Regio

nal

National

Ahold Delhaize & GDM

Why we support GDM?

• Data Quality

• Data Efficiency

How we manage GDM?

• Jeffrey Cree (USA) & Armand

Schins (EU) participate &

coordinate on global & regional

level

• GS1 facilitates on all levels

• Implementation planning: 2021

IT Tools

• GDSN datapool:

- 1WorldSync (USA&BE)

- GS1DAS (NL)

- n.a. -> Excel (CR)

• PIM:

- Stibo-STEP (USA&NL)

- SRC-PIM (NL)

- SAP (BE)

- ERP Gold (CR)

European business drives maintenance

• Data exchange is between business partners

- Business is in lead. Also for governance

• Active participation from all!

• Business should chair the maintenance team

- GS1 and solution providers are facilitating

• Need for speed!

- Connect on local level:

• Start gap analysis + Reduce local layers

- On regional level:

• Insight in local layers => Reduce or upgrade attributes

Henk-Jan Timmerman, GS1 in Europe

The three layers of European governance

Regional maintenance – GS1 in Europe

• Responsible: ongoing

maintenance of the Global

Layer

• Focus: business need of the

overall global model

• Responsible: ongoing

maintenance of the Regional

Layer

• Focus: business need of a

specific region, ex: Europe

• Responsible: ongoing

maintenance of the Local

Layer of a specific target

market

• Focus: business need of a

specific country, ex: Germany

Strategic level Steering committee

Mission

Tasks

Participants

Industry:

• Select members

GS1 in Europe:

• Jan Somers: Sponsor

• Henk-Jan Timmerman

• Tomáš Tlučhoř

• Deciding on projects and scope per year

• Managing overall strategy and workplan

• Monitoring the implementation of GDM

Guide the data community within Europe on several

topics, such as data exchange and data quality.

Tactical level Maintenance team

Maintenance of the regional layer of the GDM (all

components) and ensure the availability of harmonised

guidelines through active stakeholders managament

Mission

Tasks

Participants

Industry: Call for participation

• GS1 in Europe:

• Jan Schimmel (GS1 Netherlands)

• GS1 MO participants

• Maintaining regional layer, challenging local layer

• Monitoring the implementation of the GDM

• Reviewing of EU Regulations

• Finalise and approve harmonised guidelines

• Voting through GSMP process

Tactical level Maintenance team

GSMP

Active in

Europe

Inclusive

4 releases

All target

markets

Code of

conduct

Operational level B2B2C Working Group

Solve and harmonise technical questions that are raised

within countries

Mission

Tasks

Participants

GS1 only:

• Coordinator: Tomáš Tlučhoř

• GS1 MO participants

• Work on meeting EU Regulations requirements

• Technical proposals on migrations, validation rules

• Updates in the guidelines

• MO planned projects updates, any MO updates

• Quarterly reporting on regional layer to global office

Christian Przybilla, GS1 Germany

How is Germany currently organised?

Introducing Christian Przybilla

• Christian Przybilla

• GS1 Germany

• Lead Master Data + Data Exchange

• christian.przybilla@gs1.de

GS1 Germany - Who is doing what and how?

GS1 Germany Handbook

for all governance + working groups:

- General rules for the decision making process

• Prerequisits for membership

• Voting rights and rules

- Description for every group

• Objective

• Scope

• Tasks

• Composition (50% supplier / 50% retail)

How is GS1 Germany organised in general?

How is GS1 Germany organised on data?

*intended positioning of national / local GDM group in Germany

From the German perspective to be worked in the

near future

• GS1 Germany Data Excellence Board officially endorsed GDM in May 2020

• General committment to support work on:

- Build up the required governance (national/European/global)

- Document use of GDM attributes in national GDSN profile

- Learn and exchange experiences from pilots in real practice

- Start appropriate harmonisation efforts

(based on existing attribute differences in local/regional layers)

Implementation of GDM in European markets

Agenda Industry engagement Global Data Model

• Introduction & ambition

• General update on the GS1 Global data model

• Implementation of GDM in European markets

• Governance in Europe (locally and regionally)

• Industry engagement in Europe

- How will P&G drive implementation? (Laurent Seroux)

- Metro & local implementations? (Christian Zaeske)

• Next steps and closing

Laurent Seroux, P&G

How will P&G drive implementation?

Introducing Laurent Seroux

• Laurent Seroux

• Procter and Gamble

• Global Master Data Director

• Active with GS1 groups since 2016,

DE board member.

Serving

Consumer with

100% Accurate

Product

Information

SKIN &

PERSONAL CARE

ORAL CARE

FAMILY CARE

PERSONAL

HEALTH CARE

HAIR CARE

FEMININE CARE

BABY CARE

FABRIC CARE

GROOMING

HOME CARE

A Strong Portfolio in 10 Categories

Countries

of Operations

~70

Countries

Where Our

Brands are Sold

180+

Fiscal

2019 Net Sales

$67.7

Billion

Organisations will need to invest in the right people,

processes, and technology

PROCESSES

GDM will require…

PEOPLETECH

Gap analysis to identify

missing or different

attributes to support new

model

Changes in current systems:

external interfaces, product

data systems, and operational

systems

Data cleansing and

adaptation for existing

GTINs

Training for changes due to

GDM across business

processes (e.g., for new

product data processes)

1 Any product data related transformations (broader than GDM scope) will need to align with GDM to ensure full impact

2 Not a one-time activity, therefore captured in calculator under changes to operational efficiencies (pink section)

Changes to business process

to capture new required

attributes

How will P&G drive adoption in Europe

• Internal

• Primary focus on GDSN countries and retailers

• Depth analysis of current P&G publication models and identification of gaps vs

the GDM attribute by attribute (DE completed).

- Technical and Functional assessment of gaps

- Inclusion of the GDM standard in new PIM

• Deploy the concept to Country leadership and Sales teams to create

awareness and be ready for Retailers demand to engage

• External

• P&G representatives in GS1 MO’s to influence MO’s and Data Pools

endorsement.

Christian Zaeske, Metro

Metro & local implementations

Introducing Christian Zaeske

• Christian Zaeske

•

• Global Head of Master Data

Management

• Member of GS1 Data Excellence Board

• Retail Co-Chair of Global Data Model

• Active within GS1 groups since 2006

• Photo

AT A GLANCE

OUR PORTFOLIO

678

locations

In 34

countries

97,606

employees

AT A GLANCE

Group sales

€27,082 million

EBITDA

€1,021 million

EBITDA excluding earnings contributions from real estate transactions.

Headcount as of closing date 30 September 2019. As of: 30 September 2019.

678

locations

In 34

countries

97,606

employees

Group sales

€27,082 million

EBITDA

€1,021 million

EBITDA excluding earnings contributions from real estate transactions.

Headcount as of closing date 30 September 2019. As of: 30 September 2019.

METROs GS1 in Europe presence in 21 countries

EUROPEAN METRO COUNTRIES

Austria

Belgium

France

Germany

Italy

Netherlands

Portugal

Spain

Bulgaria

Croatia

Czech Rep.

Hungary

Kazakhstan

Moldova

Poland

Romania

Russia

Serbia

Slovakia

Turkey

Ukraine

As of 30 September 2017.

• 2.000-5.000 suppliers per country

• 30.000 – 250.000 SKUs per country

• Cash & Carry, FSD, Franchise, Retail

+ Product Online Visibility

+ Web Shops & Long Tail

+ Marketplace

+ Digital Services

Driving GDM market adoption by

community enablement

• Inform

• Initialize national GDM project

• Onboard industry

• Setup local GDM maintenance group

• Educate & Train

• Integrate national layer – local attributes to GDM

• Setup KPIs and reporting

• Start operational use of common data model based on GDM

• Announce local GDM maintenance group members representing

market within regional GDM maintenance group

• Collect feedback and identify improvement needs

GDM 1st. country community implementation

GDM

Global

Layers

+ GDM

Regional

Layer

Europe

+GDM

Local

Layer

National

METRO

Bilateral

Attributes

Total

86 92 286 0 464

The German community decided to go live with the

Global Data Model in August 2020 for the German market

• GDM in Europe METRO country implementations

1 2 3 4

GDM Global

layers

+ GDM

Regional

layer

+GDM local layer national

+GDM

local

layer

bilateral

Attributes

sum

DE x EU national datamodel integrated to GDM - =1+2+3

BE x EU national datamodel to be integrated to GDM - =1+2+3

CZ x EU national datamodel to be integrated to GDM - =1+2+3

FR x EU national datamodel to be integrated to GDM - =1+2+3

IT x EU national datamodel to be integrated to GDM - =1+2+3

NL x EU national datamodel to be integrated to GDM - =1+2+3

TR x EU national datamodel to be integrated to GDM - =1+2+3

AT x EU national datamodel to be integrated to GDM - =1+2+3

ES x EU national datamodel to be integrated to GDM - =1+2+3

PL x EU national datamodel to be integrated to GDM - =1+2+3

PT x EU no national datamodel* X** =1+2+4

HU x EU no national datamodel* X** =1+2+4

HR x EU no national datamodel* x** =1+2+4

RO x EU no national datamodel* x** =1+2+4

RS x EU no national datamodel* x** =1+2+4

RU x EU no national datamodel* x** =1+2+4

SK x EU no national datamodel* x** =1+2+4

UA x EU no national datamodel* x** =1+2+4

BG x EU no national datamodel* x** =1+2+4

KZ x EU no national datamodel* x** =1+2+4

MD x EU no national datamodel* x** =1+2+4

* to be confirmed by national GS1 MO ** to be defined if after * is confired

• clarification

local layer

• METRO bilateral

local layer in case

of missing national

community layer

• Question to the

European user

community:

Are you interested

to define a common

default local layer ?

(for all markets not having a

national model)

Driving market adoption by

community enablement

• Inform

• Initialize national GDM project

• Onboard industry

• Setup local GDM maintenance group

• Educate & Train

• Integrate national layer – local attributes to GDM

• Start operational use of common data model based on GDM

• Announce local GDM maintenance group members representing

market within regional GDM maintenance group

• Collect feedback and identify improvement needs

Global Data Model

COMMON STANDARD for

in EVERY markt

globaldata[email protected]

One product.

One experience.

Every channel.

Every country.

Next steps & Closing

Recap for Implementing the Global Data Model

Get organised and

connect with GS1

and ambassadors

Do the attribute gap

analysis and present

results

Implement global

and regional layers,

minimise local layer

Share local layer and

other findings with

global office

Recap for Governance of the Global Data Model

Connect with GS1

and industry peers

Have a local

governance process

in place

Work on change

requests (add

/change/ remove)

Intention to submit

the local layer as a

standard

Next steps

Survey on implementation of the Global Data Model in Europe

Connect with Industry Peers and GS1 => in local user groups

Work on the gap analysis of the global data model (industry & GS1)

Submit the local layers to the Interim GDM Navigator

Help to grow the community in the region: new industry & new target markets

Actively participate in regional governance

Next meeting

END of AUGUST

Gap analysis results

Appoint co-chairs

First steps on further

harmonisation