Many large companies with complex IT landscapes are consolidating ERP/ EAM platforms to deliver improved operational visibility and decision velocity to business. While such roll out projects focus on aligning business requirements with ERP/EAM functionalities and configurations, many teams overlook one of the most business-critical factors - Strategic data quality. View this 40 minute webinar, to learn : Tactical v/s Strategic approaches to data quality in ERP roll-outs Case studies of large ERP roll outs - winners and losers Pitfalls to avoid in ERP/ EAM material data quality projects

1. Cutting-edge Technology to drive ERP
Rollout success
Welcome to our September Webinar
Strategically manage Data Quality in an ERP rollout
Over a decade of strategic data quality
experience in supporting ERP/EAM rollouts
distilled into a 40 minute webinar

2. Today’s Speaker
Arthur Raguette - Executive Vice President, Verdantis Inc.
Arthur is very passionate about the application of innovative technologies to solve real-world
business problems with a strong emphasis on large enterprise solutions. He has more than a decade
of experience of working with Software for Master Data Management and Data Governance for
multiple domains and across industries. Arthur’s prior technology passions included high
performance B2B middleware and hybridized SaaS applications for HR, Employee and Education
related domains.
© 2015 Verdantis Inc. All Rights Reserved.
Arthur Raguette
Executive Vice President
Verdantis, Inc.
Arthur@Verdantis.com
+1 609 799 5665 x225 (o)

3. • Organizational mergers or ERP rollouts – Seeing the bigger picture
• The changing constant – Master Data
• Material Data Excellence – A stitch in time saves nine
• Customer success stories, and critical mistakes to avoid
• Unlock ROI – See for yourselves with a free Proof of Value
Agenda

4. Resolving ERP Project Challenges is dependent on Master Data
Organizations are consolidating ERP/EAM systems to drive
global business performance…
Drive
standardization
across
enterprise
Higher business and
operational
efficiencies
Cost reduction and
consistent growth
Faster time-to-
market and
significant bottom-
line savings
Value Chain Factors
 Common suppliers
 Common materials
 Common customers
 Multiple manufacturing locations
 Multiple Distribution locations & methods for
same products
Corporate Factors
 History of or Frequent acquisitions
 Changing from country-based to global lines of
business organization
 Disparate accounting practices globally
 Lack of visibility
 IT Operations Costs
 Limited or no shared services
 Need for global best practices

5. Challenges ERP Implementation ERP Consolidation
Resistance to Change  
Inadequate Training and Education  
Multiple business functions  
Different processes and standards  
Change management  
Software business process incompatibility  
Integration of multiple systems and applications  
Legacy system features loss  
Multiple ERP instances 
ERP systems optimized for different functions 
Lack of communication among the systems 
Inaccurate, duplicated and corrupt master data  
Inadequate master data definition  
Different standardized data formats, data conversion 
Different governance processes 
Enterprise-wide Master Data inconsistency 
PROCESS
PEOPLE
SYSTEMS
DATA
Resolving ERP Project Challenges is dependent on Master Data
ERP implementations are essentially business
transformations with 360° challenges…
© 2015 Verdantis Inc. All Rights Reserved.

6. © 2015 Verdantis Inc. All Rights Reserved.
Program
Preparation
Setup for Local
Program
Organization
Adaptation for
Strategic
Framework
Early Adoption of
Best Business
Practice
Processes
Data
Management
Standards
Implementation
Data Cleansing
and Data
Preparation
Business
Blueprint
General Program
Management
Local Business
Blueprint
Documentation
System
Operation
Strategy
Data Cleansing
and Data
Preparation
Realization
General Program
Management
Data Preparation
& Data Migration
Simulation
Cutover Planning
& Preparation
Final
Preparation
End user Training
Business
Simulation
Data Migration to
Production
Pre-Go-Live
Operations
Go Live and
Support
Business support
Project closing
… Tackling these 360° challenges requires strategic
planning at each stage

7. • Organizational mergers or ERP rollouts – Seeing the bigger picture
• The changing constant – Master Data
• Material Data Excellence – A stitch in time saves nine
• Customer success stories, and critical mistakes to avoid
• Unlock ROI – See for yourselves with a free Proof of Value
Agenda

8. © 2015 Verdantis Inc. All Rights Reserved.
Program
Preparation
Setup for Local
Program
Organization
Adaptation for
Strategic
Framework
Early Adoption of
Best Business
Practice Processes
Data Management
Standards
Implementation
Data Cleansing and
Data Preparation
- Inventory and
Scope
Business
Blueprint
General Program
Management
Local Business
Blueprint
Documentation
System Operation
Strategy
Data Cleansing and
Data Preparation
Processing
Realization
General Program
Management
Data Preparation
Complete
& Data Migration
Simulation
Cutover Planning &
Preparation
Final
Preparation
End user Training
Business
Simulation
Data Migration to
Production
Pre-Go-Live
Operations
Go Live and
Support
Business support
Project closing
For Data Change Management – this means
incorporating Strategic Data Quality in the ERP Blueprint

9. •Standardized, enriched and accurate master data
•High data reliability for improved decision making
•Ongoing data maintenance
Improve data quality,
reliability and governance
•Better procurement and sourcing strategies
•MRO supply chain optimization
•Streamlined operations and greater process compliance
Minimize costs and maximize
process efficiencies
•Lower inventory carrying costs
•Reduced plant downtimes and increased productivityGain enterprise wide visibility
•Enhanced cross-functional collaboration and performance
•Maximized benefits from M&A activities
Optimize the ROI from ERP
implementations
MDM Accelerates the ROI from ERP Projects
•Reduced inventory, Better reuse, Easier searchMaterial Master ROI
•Less payment errors, de-duplicated repository
•Standardized payment terms, Better Spend AnalysisSupplier Master ROI
•Reduces invoice errors, Better reconciliation,
•Reduced incorrect transactions and Improved overall efficiencyCustomer Master ROI
•Better sourcing strategies, Faster time-to-market
•Enhanced product visibilityProduct Master ROI
Enhanced Business Efficiencies after Go-Live
Strategic Data Quality enhances returns from the ERP
rollout

10. • Organizational mergers or ERP rollouts – Seeing the bigger picture
• The changing constant – Master Data
• Material Data Excellence – A stitch in time saves nine
• Customer success stories, and critical mistakes to avoid
• Unlock ROI – See for yourselves with a free Proof of Value
Agenda

11. Strategic vs. Tactical approach to Material Data Quality
Focus of Data Governance tools for Keeping it Clean
Technology reinforced new master record creation
prevents duplicates at source
Rudimentary tools like E-mail result in non-
standardized creation of master records with little
or no control on duplicate-check
Specificity of Data Quality tools for Getting it Clean
Material Focused Data Quality tools, with in-built
data templates
Generic DQ or ETL tools
Approach to Material Data Quality
Proactive approach - planned within ERP rollout
blueprint
Reactive approach – If at all, might budget post
ERP go-live
© 2015 Verdantis Inc. All Rights Reserved.

12. Demonstrable ROI in
• Greater and quicker ROI realization form ERP Investments
• Reduction of Inventory Carrying costs
• Global Inventory optimization
• Increased Plant Uptime
• Increased Worker productivity
• Reduced Mean-Time to Delivery of Products
• Increased Contract Compliance
• Spend Leverage through supplier consolidation
Data Aggregation
Classification /
Categorization
Attribute
Extraction
Attribute
Enrichment
Duplicate Record
Identification
Building the right
business Case for
Master Data
Rationalization
© 2015 Verdantis Inc. All Rights Reserved.
Material Master Data Rationalization – Getting it Clean

13. Search Define Authorize Create Update
Systems
Legacy User
Oracle User
SAP User
Tools/Master
Data
Repository
Record:
Definition
Classification
Local
Authorizer
Record:
Definition
Classification
Control No.
Potential
Match?
Approve?
Auto-
Approve?
Approve?
MDM
Master
Data
Repository
SYS
Legacy (s)
NO
YES
YES
NO
NO
NO
YES
YES
SAP
ORACLE
Material Master Data Governance – Keeping it Clean
© 2015 Verdantis Inc. All Rights Reserved.

14. • Organizational mergers or ERP rollouts – Seeing the bigger picture
• The changing constant – Master Data
• Material Data Excellence – A stitch in time saves nine
• Customer success stories, and critical mistakes to avoid
• Locked value – See for yourselves with a free Proof of Value
Agenda

15. • Collaboration/ownership risks
– Inconsistency in project leadership
– Scope is loosely defined/ Requirement gathering is arbitrary
– Definition of success not clearly understood by stakeholders
– Global mandate lacks execution in specific zones
• Quality Risks
– Missed opportunity for stakeholder perception alignment during various stages
– Big bang approach
– Unrealistic expectations from non-source enrichment
• Schedule Risks
– Stretching of timelines due to delay in sign-off for key stages
– Rework due to incompatible requirements in different regions
© 2015 Verdantis Inc. All Rights Reserved.
Mistakes to Avoid – From over 12 years of delivering Global
Material Data Quality Projects

16. Key factors to look for in a Material Data Quality partner:
• Industry expertise
• Intellectual Property
• Speed
• Accuracy
• Automation
• Business model
• Access to top management
• Corporate focus on material data quality
© 2015 Verdantis Inc. All Rights Reserved.
Selecting a Material Data Quality improvement partner

17. • Organizational mergers or ERP rollouts – Seeing the bigger picture
• The changing constant – Master Data
• Material Data Excellence – A stitch in time saves nine
• Customer success stories, and critical mistakes to avoid
• Unlock ROI – See for yourselves with a free Proof of Value
Agenda

18. • Determine POV Objectives and Scope
• # of Item Masters and Source Systems
• Select Data Sample
• Select Taxonomy & Attribute Templates
• Verdantis Processes Data
• Fully Classify POV data set
• Fully Cleanse a subset of data
• Non Source Enrich a subset of data
• Flag duplicates for processed Items
• On-site Review of Deliverables
• Data Analysis and Output
• Draft Budget Proposal
• Business Case Recommendations
Learn:
• Quality of Data
• Compatibility to automated
approach
• Potential duplicate levels
• Estimated budget
• Recommended Scope &
Resources
We can help: Verdantis Free Proof of Value

19. Please share your questions in the chat panel
© 2015 Verdantis Inc. All Rights Reserved.

20. www.verdantis.com
info@Verdantis.com
Toll Free +1 866 987 4463
Get access to many more research papers and case studies in our
Knowledge hub!
© 2015 Verdantis Inc. All Rights Reserved.
Master Data Management Solutions
Arthur Raguette
Executive Vice President
Verdantis, Inc.
Arthur@Verdantis.com
+1 609 799 5665 x225 (o)