Product master data consolidationNatalja Kopeykin

9.12.2015

Introduction to Vaasan

Founded 1849 1762

Key products

Popular and well-known brands in the Baltic countries

1882 19521965

9.12.2015Product master data consolidation, Natalja Kopeykin

Finland1. Kiiminki

2. Seinäjoki

3. Kuopio

4. Tampere

5. Vammala

6. Joutseno

7. Kuusankoski

8. Kotka

9. Vantaa

Head office Helsinki

Sweden10. Stockholm

Estonia11. Tallinn

12. Saue

Latvia13. Riga

Lithuania14. Panevėžys

15. Vilnius

1.

2.3.

4.5.

6.7.

8.9.

11.

10.

12.

13.

14.

15.

Production in Finland and the Baltics

14production facilities

Exports to almost

40 countriesPersonnel

2,500Net sales 2014

394MEURHead office in

HelsinkiVaasan is owned by Lantmännen

9.12.2015Product master data consolidation, Natalja Kopeykin

Vaasan per Country 2014

49

21

17

53 5

Finland

Sweden

Baltics

Norway

Denmark

Other

49

17

14

1631

Finland

Estonia

Latvia

Lithuania

Sweden

Norway

Net Sales (%) Employees (%)

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Several tools used in Item and Product data management in all stages of

lifecycle, as result:

o Product Data is scattered between those sources -> Product Data Safety

risk due to data maintenance decentralization

o Existing Product data tool designed 20 years ago for 1-2 users - does not

answer business needs & does not support processes

o Not all data is currently maintained in tools

o Data creation process is not optimal

o Product Master data quality not at the right level

o Simple data customer inquiries take long time to answer

Background

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Pre-study and tool selection

Final selection Teamdemo

RFP 3

tools

RFI 10

tools

Desktop search > 20 tools

Partner

ToolVAASAN

fitTCO

User friendli-

ness

Aspects evaluated

• VAASAN requirements

• Future use and extension

• TCO

• User friendliness

• IT Architecture – fit to IT environment

• Consultants with experience

• References in F&B industry

As result we selected EBX5 –

Master data platform, e.g

What you model is what you get9.12.2015Product master data consolidation, Natalja Kopeykin

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Strategic fit

Gate

Feasibility

Gate

Viability

Gate

Industrializat

ion GateProduction Post launch

activities

Regulatory

Gate

CONCEPTCREATION /DESIGN

PLANNING/DEVELOPMENT

OPPORTUNITY / IDEA GATHERING

PREPARINGFOR MASSPRODUCTION

LAUNCH/PRODUCTION

END OF LIFE /AFTERSALES

REGISTRY/ CERTIFICATION

P O R T F O L I O M A N A G E M E N T

Burningplatform

Product

Launch

decision

NEW PRODUCT DEVELOPMENT

M A N U F A C T U R I N G

D E L I S T I N GP R O D U C T R E N O V A T I O N

M A S T E R D A T A M A N A G E M E N TINNOVATION

Tool coverage area

Product Lifecycle: Governed data and related processes

9.12.2015Product master data consolidation, Natalja Kopeykin

Prioritization

Idea filtering

Go-NoGo decision

Product Brief

Feasibility

Testing

Package definition

Process definition

Recipe definition

Ingredients and specs

Sourcing

Concept Brief

Timetable

Resources

Budget

Production plan

Launching plan

Final specifications

Demand Planning

Sales Planning

QA Review

GS1

Other Product

Data registries

Feedback

Claims

Product delisting

Supplier

auditing

9

• Initiative started: December 2012 (project frozen for 1 year)

• Tool selection: December 2013

• Data cleaning started: September 2014

• First pilot: March 2015

• Rollout: May 2015

• Single Products:

o Before/after cleansing 4500/1500

o Information fields: about 300

• Sales Products:

o Before/after cleansing 4500/2500

o Information fields: about 350

Product Master Data - some figures and dates

9.12.2015Product master data consolidation, Natalja Kopeykin

Master data tool philosophy

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10

• VAASAN has selected tool to manage Master data and currently implemented

for Product data management

• Master data is created in one place and distributed it to all systems that use it

• Global solution for all countries all Bus including

o Process – one set of rules, global processes

o Tool - enables one policy implementation and follow-up

o Governance: Ownership & accountability

o New information consolidation and structuring principles

o Data security model

• Main idea: Single Source of Truth!

Product master data consolidation, Natalja Kopeykin

Master Data Architecture

M3s

(ERP)

Production

applications

Data WH

Maestro

Synkka (FI GS1)

CRMEDI to

Customers

External

websites

9.12.2015

Labelling

systems

Integration planned/in progress

Demand

Planning

TM1

Picture

banks

TCPOS (CASH

SYSTEM)

StreamServ

e (PRINTING)

Integration done

Internal

websites

Product master data consolidation, Natalja Kopeykin

Master data projects - lessons learned

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• Management commitment is a must – Master data is strategic activity

• Get business to approve and sign all important decisions

• This is not IT project as we change processes & break routines -> Strong Business

Owner required

• Careful tool selection with business involvement identified possible difficulties in the

implementation and showed best available tool for us

• RFP & Use Cases - as detailed as possible. If requirement not found very likely will

not be in your tool

• In VAASAN case project full outsourcing would not be possible – for that you must

have clear processes and clear vision of what you need, then consultants will be able

to implement it!

• Data cleansing and Architecture definition takes much longer time compared to

expected. Risk mitigation: Data cleaning must start in parallel with tool selection