Could the whole organization be involved in the maintenance of the master data? Could de-centralizing be the key to agile & long lasting master data management? Customer cases & key info presented at the Breakfast Club seminar on the 18th May 2017.
Want to learn more? Download the 10 things to consider when choosing your master data governance tool -guide: http://go.bilot.fi/2017-05-SmartMDMDownload_LP-Download.html
Masterdata - why it matters and how SmartMDM™ can help?
1. WE STAND FOR MORE
150+
EXPERTS
11
YEARS
1000+
MAN YEARS OF
EXPERIENCE
100+
CUSTOMERS
2
COUNTRIES
100%
OWNED BY
EMPLOYEES
+30%
AVG GROWTH
15 M€
TURNOVER
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#1
DATA IS EVERYTHING
Top priorities of Chief Digital Officers*
1. Customer experience
2. Platform economy: market places and ecosystems
3. Data monetization
*) CDO Barometer 2017
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#2
DECENTRALIZED IS
THE NEW NORMAL
Trends
1. De-composition of the monolithic ERP
2. Best-of-breed multi vendor puzzle
3. Rapid PoCs & emergent design over IT-governed multi-year programs
6. Master data management, why?
Leveraging the full value of data as an
enterprise asset: measuring, analytics,
reporting
Master data plays a vital role
in business processes
Enabler to turn data into information
– to support decision making
Master data exists in all systems,
and the system landscapes are
becoming increasingly complex
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7. Typical challenges with master data
System landscape make data
maintenance complex
and costly
Data maintenance requires
system specific knowledge
Still: difficult to show
tangible benefits for investing in
master data management
• Duplication of data maintenance work
• Delay in data updates – inconsistency over time
• Differing formats for the same data
• No clear data ownership across landscape
• Deep knowledge is difficult to train, learned by
experience, and is unevenly distributed
• No single person can conduct end-to-end data
maintenance
• Most difficult data maintenance cases get
overloaded to most experienced individuals
• Tracing master data errors to their costs
• Assessing the probability and impact of risks
caused by master data errors
• Estimating ROI for improving master data
management to get investment approval
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8. MDM improvement viewpoints
Governance level improvements
• Connecting scattered data maintenance
work into consistent processes
• Unifying data gathering and verification
tasks
• Clarifying data maintenance roles
Systems level improvements
• Data consistency through automating
master data flow
• Common tools to reduce overlapping
data maintenance tasks
• Centralized master data repository to
act as the ”single truth” for master data
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Requires
Enables
9. With SmartMDM, governance meets
system integration
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360° online
view to
master data
Collaborative
processes
Business
rules
Automatic system-to-system
integration (EAI)
Business systems or master data
repositories
Direct access to business
application data
Access via ESB or other
interfaces
Create, retrieve, maintain master data
Human-to-machine integration
10. Why SmartMDM?
SmartMDM improves
data quality
SmartMDM makes
complex processes
simple
SmartMDM provides
single interface for
multiple backend
systems
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Master data management made easy, fast and better governed
11. We have been solving our customer’s master data related
challenges since 2008. We support our customers in both of the
mainstream MDM solution philosophies: centralized &
decentralized.
Our Bilot SmartMDM™ platform has been developed based on
our experience of what capabilities our customers typically need
in different scales of MDM implementations.
Background for SmartMDM
• Master data governance concepts
• Migrations, data quality improvement
• Master data architectures
• Tools:
• Bilot SmartMDM
• Microsoft SQL Server Master
Data Services
Key areas of MDM expertise
Smar tMD M
Material,
product
Customer Vendor Pricing
General
Ledger /
FICO
Functional
Locations
HR Project Other
12. Bilot SmartMDMTM
for
DISTRIBUTED
master data
management
SOCIAL
for the sake of
productivity
ANY
BACKEND
system
USABILITY
drives end-user
acceptation
RESPONSIVE
to support all
your devices
CONFIGURE
instead of coding
WORKFLOWS
make end-users follow
agreed processes
ANALYZE
process performance
and trace bottlenecks
CLOUD OR
ON-PREM?
you decide
SmartMDM™ boosts productivity, data governance and data quality by
providing users with intelligent, easy to use workflow-backed forms
tailored to customer’s processes and roles making master data
management a natural part of the business process.
13. Going forward with SmartMDM
Tool and
integrations
implementation
Tool
requirements
analysis and
condensation
Analyzing
master data
models
Planning
governance
improvement
phases
Designing
governance
target state
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Planning target state often part of the delivery
• Governance design facilitated by Bilot experts and
assisted with SmartMDM rapid prototyping
• Proto eventually finalized into ready solution
Typical SmartMDM delivery work areas
Technical tool is not the whole challenge!
• Business value is created by governance
improvements - enabled by SmartMDM
• Tool requirements tracked from governance
needs, not vice versa
14. Real life master data
management stories
Ismo Piispa & Mathias Hjelt
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SmartMDM case:
Employee life cycle
Key objectives
1. Shorter lead times
2. Less manual data entry
3. Increased data quality
4. Better control and follow up
5. Lower cost of ownership
Data & Processes Setup
SmartMDM
SAP HR
• Start of employment
• New internal position
• Change of organizational unit
• Long term leave
• End of employment
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SmartMDM case:
Uniform governance
Key objectives
1. Coherent data quality
2. Better MDM process efficiency
• Corporate-wide governance
• Unified tool
3. Hiding data complexity from
business users
Data & Processes Setup
SmartMDM
SAP PS 1C NAV
• Project master data
• Roadmap to extend into other
data areas
Microsoft SQL Server MDS
ESB
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SmartMDM case:
Finance master data
Key objectives
1. Common process and tool to
manage Finance master data
2. Configurability, automation
3. Creation and maintenance in
all defined SAP environments
4. Auditing, reporting
Data & Processes Setup
SmartMDM
SAP
• Create & maintain:
• Profit centers
• Cost centers
• Internal orders
• GL accounts
• Profit & cost center
hierarchies
ESB
SAP HR SAP SC
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SmartMDM case:
Unified architecture
Key objectives
1. Increased and more coherent
data quality
2. Harmonized corporate-wide data
governance
3. Unified architecture for data
maintenance
4. Supporting legacy system data
cleansing and migrations
Data & Processes Setup
SmartMDM
SAP CRM etc
• Create and maintain
• Customers
• Vendors
• Raw materials
• Products
MS SQL MDSLegacy
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SmartMDM case:
Common MDM end user tool
Key objectives
1. Faster time to market
2. Better governance of
sensitive data
3. Smooth transition to new
ERP (from the end user
perspective)
4. To get rid of current InfoPath
/ SharePoint solution
Data & Processes Setup
SmartMDM
• First phase
• Product data
• Next phases
• Customer & supplier data
ESB
Future ERP
IFS
Current ERP
IBS
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SmartMDM case:
Marketing activity management
Key objectives
1. Common tool for internal
and external users to
maintain marketing
campaign planning and
execution data
2. Configurable UI, business
rules and workflows (even
by the customer)
3. Cloud deployment
Data & Processes Setup
SmartMDM
Azure
Data
Lake
• Customized campaign
planning view
• Marketing activity
• Creation
• Change
Custom
backend
Sales &
marketing
analytics
MDM
database
22. SmartMDM - demo time
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END USER
PERSPECTIVE1 2
Creating a Product
with collaborative
editing
CONFIGURATION
PERSPECTIVE
Rapid configuration
with the help of
SmartMDM Wizard
23. End user demo: Collaborative master data editing
Create Product
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Desired Outcome Steps
1. Enter basic product
information
2. Enter plant information
3. Enter rich product info
for publishing to web
site
• Product manager Joe wants to
create a new product
”Printing paper A4”
• Marketing manager Ville should
contribute with marketing
details
• The product should be created
in the company’s ERP and E-
commerce platforms
ERP
Web
shop
SmartMDM workflow
Basic Plant Enrich
Demo highlights
1. Simple user interface
2. Visualized workflow
3. Integrated Wiki
4. Request level commenting
5. Field comments
6. Collaborative filling
7. Field locking
24. End user demo: Collaborative master data editing
Demo highlights
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Integrated Wiki
Request level commenting
Field comments
Collaborative filling
Field locking
• Knowledge sharing from users to users
• Possibility for participants to discuss the request
• Highlighting problematic fields
• Provide reasoning and audit data
• Multiple users can work on the same request
simultaneously
• Prevents two users from editing the same field
• Manual locking can be used by editor to ”reserve”
a section for himself
25. SmartMDM - demo time
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END USER
PERSPECTIVE1 2
Creating a Product
with collaborative
editing
CONFIGURATION
PERSPECTIVE
Rapid configuration
with the help of
SmartMDM Wizard
26. Configuration demo
‘Add new field using Wizard
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Desired Outcome Steps
1. Ensure field exists in
backend system
2. Configure SmartMDM
to include the field in
forms
• MDM owner wants to add a
new field ”Color” to the
Product creation process
• The field should be
mandatory for all new
requests
• The field should prompt the
user to select valid values as
governed by the backend
system
Demo highlights
1. Wizard for importing field
definitions from backend
system
27. Configuration demo
Demo highlights
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Backend wizard
Rapid configuration
Workflow editing
• Quickly add new fields to user interface
• Utilize data definition from backend system
• No coding needed
• Changes immediately applied
• Create workflows
• Visualize workflows
28. For more info please contact:
Ismo Piispa
Senior Manager
Microsoft P-Seller
+358 50 301 2514
ismo.piispa@bilot.fi