This document discusses achieving a single view of critical business data through master data management (MDM). It outlines how MDM can consolidate data from various internal and external sources to provide a centralized, trusted view across different business domains. The key benefits of MDM include improved data quality, governance and compliance. It also enables contextual insights and more informed decision-making through cross-domain intelligence and analytics. Successful MDM requires flexible technologies, processes and organizational support to ensure data governance and deliver ongoing value.

1. How to achieve a single
view of critical business
data with MDM

2. Today’s speakers
David Vega
Strategy Principal,
Precisely
Sumit Nagpal
Director of Sales,
Precisely

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To compete and thrive in
today’s digital economy….

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right, compliant, and available everywhere it’s needed—faster
.
your core business data must be

5. DIGITAL
CORE
Critical business
data is more
dispersed than ever.
Customer
ecosystem
Product
ecosystem
Employee
ecosystem
Finance
ecosystem
Things
ecosystem
Vendor
ecosystem
API LAYER
BI, AI, DATA ANALYTICS

6. 47%
of newly created
data records have
at least one
critical error
68%
of organizations
say disparate data
negatively impacts
their organization
84%
of CEOs say that they
are concerned about the
integrity of the data they
are making decisions on
Data Trends Survey 2019 Forbes
HBR
A business imperative

7. A single source of truth for
common business data used
across systems.
Master Data
Management
Flexible data
model
Support for
multiple data
types
Open,
extensible
integration
framework
Configure
not code
approach
Workflow &
automation
Data
governance
quality &
stewardship

8. Sales
ERP/Business
Operations
Marketing
Operations
Customer
Services
Sales
Ops
Finance &
Accounting
Data Steward
Business Users
Get trusted data
to the systems that power
your business

9. Consolidate data
DATA TARGETS
Systems Data lakes
Reports Databases
Data pools Apps
DATA SOURCES
Internal & external systems
Spreadsheets & docs
Databases
Third-party data services
People
Ingest data from many sources and syndicate across data targets

10. Flexible integrations
INTEGRATION OPTIONS
APIs (RESTful, SOAP)
Database views
Files (Excel, CSV, XML, JSON)
Choose how and when you share data
SCHEDULING OPTIONS
On demand
Scheduled
Event driven

11. Find the
right MDM
solution
• Be extremely flexible
• Configure, not code
• Be open and extensible
• Handle enterprise complexity without being complex
• Be highly scalable and secure
• Enable granular control
• Ensure the highest level of data quality

12. People, processes, and
technology
Keys to MDM
success Flexible data
model
Support for
multiple data
types
Open,
extensible
integration
framework
Configure not
code
approach
Workflow &
automation
Data
governance
quality &
stewardship

13. People, processes, and
technology
Keys to MDM
success Flexible data
model
Support for
multiple data
types
Open,
extensible
integration
framework
Configure not
code
approach
Workflow &
automation
Data
governance
quality &
stewardship

14. A flexible
data hub
The foundation for success in
today’s digital economy.
BACK AND FRONT-
OFFICE ROLES
Administrators
Data Stewards
Business Contributors
Business Viewers
ORG.
STRUCTURES
Local
Centralized
Federated
USES
Operational
Analytical
DOMAINS
Product Asset
Customer Location
Supplier Material
DATA TYPES
Master Data
Reference Data
Metadata
Digital Assets
STYLES
Centralized
Consolidation
Coexistence
Registry
Hybrid
HIGHLY FLEXIBLE DATA MODEL
OPEN, EXTENSIBLE INTEGRATION FRAMEWORK
Data Syndicaton &
Synchronizaton Via
Standard Protocols
Platform Accessible
To Third-party Apps
via Open APIs
Able To Leverage
Peer Services
Using APIs
Data Accessible To
Third-party Apps
Via Sql Views
DEPLOYMENT OPTIONS
Cloud On-premise
LICENSING OPTIONS
Perpetual Subscription

15. MORE THAN JUST
TRUSTED DATA
Get cross-domain
intelligence to drive
better decision-making
PRODUCT
MANAGE
Master, application, reference, and
metadata across domains.
AGGREGATE & VIEW
Transactional, behavioral, and
unstructured data.
VENDOR
CUSTOMER
ASSET
LOCATION
MATERIAL

16. Contextual insights
• See products owned by customer
.
• Easily navigate between domains.
• See customers by product.
• See detailed customer analytics within the MDM platform.

17. Make informed decisions
PRODUCT DATA TARGETS
Systems Data lakes
Reports Databases
Data pools Apps
DATA SOURCES
Internal & external systems
Spreadsheets & docs
Databases
Third-party data services
People
MANAGE & VIEW
Master, application, reference, and
metadata across domains.
AGGREGATE & VIEW
Analytics on transactional,
behavioral, and unstructured data.
VENDOR
CUSTOMER
ASSET
LOCATION
MATERIAL
Handle multiple domains on a single instance

18. Core multi-domain MDM capabilities
Bring your data governance policies to life
Data stewardship
& quality
Access control &
ownership
Audit, rollback, &
lineage
Golden record
management
Data integration &
syndication
Hierarchy
management
Process
automation
Relationship
linking
Cross-domain
intelligence
Role-based UI and
dashboards

19. Right-size your MDM solution
PRODUCT
EnterWorks
VENDOR
CUSTOMER
LOCATION
MATERIAL
ASSET
Add capabilities and other domains when you’re ready
Sales &
services portal
+
Print
automation
+
Digital asset
mgmt. (DAM)
+
GDSN
synchronization
+
Managed
syndication templates
+
Vendor portal
- product data
+
Vendor portal
- vendor data
+
Customer domain
solution
+
Advanced
reporting
+
Smart
Template Pro
+

20. Data
Standardization
Data
Enriched
Data Hierarchies and
Dimensional Structures
Data Exchange
Data
Sources
Data
Unification
Dimensional-ized Data
Hierarchies, Relationships, Enriched Attributes
Enriched Data Value Pole
Enriched Data
IDs, Enriched Attributes
De-Duplicated Data
IDs, Names, Address, Contact, etc.
Standardized Data
Names, Address, Contact, etc.
Client-Side
Data
Products
5
6
4
3
2
1

21. Connected Data Made
Simple
Simple method to build highly
connected data
• Multi-domain cross-functional capabilities
• Enabling system integration after the data context
solution has been populated
• Powering analytics in new ways because of the
connectedness of the data
• Faster pathway to AI/ML modeling
• Technology evolving with the business

22. Match & merge
Create a trusted golden record for use
across the enterprise
• Easily identify and manage duplicate records.
• Configure rules to facilitate record matching
and survivorship.
• Quickly select attribute values from duplicate
records to create a master record.
• Maintain lineage of records used to create a
master record.

23. Flexible, configurable
data model
Be more agile and reduce TCO
• Create unlimited entities, data attributes,
metadata fields, and business rules.
• Manage the data model via a web-based UI
without needing coding skills.
• Get multi-lingual attribute and data support.
• Create dynamic relationships between attributes,
entities, and domains.
• Create data models from scratch or leverage out-
of-the-box domain-specific data models.

24. Data quality and
standardization
Create and maintain high-quality data
• Easily see data quality issues via dashboards
and reports.
• Profile data and constantly perform data quality
health checks.
• Standardize data automatically according to
your rules.
• Match, merge and de-duplicate data.
• Monitor and report workflow execution.
• Integrate with third-party enrichment, cleansing,
and verification services including Melissa Data,
Dun & Bradstreet, and USPS.

25. Versioning, audit,
rollback, & lineage
Keep track of all your data
• Maintain audit history down to the attribute
level—know what changed, when, and
by whom.
• Display audit history for any record and
easily compare multiple versions.
• Rollback an object or attribute value to
a previous version.
• Maintain and trace data lineage for
reconciled data.

26. Process automation
Get trusted data where it needs to go,
faster
• Build new workflows quickly and easily
with drag-and-drop visual designer
.
• Create parallel and sequential tasks, and
workflow loops.
• Set up task, approval, and past due,
reminder, and escalation email
notifications.
• Get full visibility into process status via
dashboard reports.
• Collaborate with internal and external
participants (human and system).

27. Sophisticated
hierarchy
management
Handle unlimited, complex hierarchies
with ease
• Create unlimited, multi-level hierarchies.
• Link a data object to multiple nodes and
hierarchies simultaneously.
• Audit and rollback changes to hierarchies.
• Auto-classify items.
• Visualize and easily manage hierarchies
within the platform UI.

28. Taxonomy
management
Streamline and simplify product data
classification
• Classify and structure product data based
on your specific standards or an industry-
standard classification system.
• Enable business users to maintain
classification structure and category-specific
attribute assignments via the UI.
• Use inheritance to reduce time-to-market
and simplify editorial processes—maintain
data one time in one place.
• Easily maintain taxonomy node/category
ownership and responsibilities.

29. Drive success in the front and back office
Empower business teams to drive
incremental revenue.
• Test and scale new business models and
channels, fast
• Create tailored offers and content
• Use cross-domain intelligence to make better
decisions
• Use enriched, accurate data across domains
Empower data and IT teams to drive
business results through timely,
trusted data.
• Syndicate and synchronize trusted data across
the systems that power your business
• Meet your data quality and compliance goals
• Configure not code and keep pace with your
dynamic business
• Get granular control over who can modify
your data model and business rules

30. People, processes, and
technology
Keys to MDM
success Flexible data
model
Support for
multiple data
types
Open,
extensible
integration
framework
Configure not
code
approach
Workflow &
automation
Data
governance
quality &
stewardship

31. Core Components Complementing Technology
Business accountability for data with ‘fit
for purpose’ operating models/processes
and a complementary org construct to
provide a structured and repeatable
process for sustained data integrity and
value creation
Data Harmonization to ensure that data
governance actions are always based on
organizational value drivers, follow a
structured, repeatable and scalable
governance model and deliver data
ontology and architecture capabilities
Data Governance Framework that
ensures the availability, usability,
integrity, and sustainability of your most
critical data in support of analytics,
operations and compliance
Data Metrics Model that organizes
critical data governance and quality
metrics to better inform business
performance and dimensionalizes
them for proper analysis and action

32. Proven Data Harmonization Approach
Why should we
harmonize data?
(define repeatable
decisioning criteria)
What data should
we harmonize and
prioritize?
What dimensions
(levels) should we
harmonization our
data across?
What does our data
harmonization need
to support and how
do we sustain it?
Leveraging a leading practice Data Harmonization Framework ensures a value-based approach to determine
the critical data and what level of harmonization delivers incremental benefits as a part of a scalable and
sustainable delivery model.

33. Context Drives Data Harmonization Value
Data Harmonization strategies that don’t consider ‘context’ always fail to deliver value and never gain meaningful
followership from the organization

34. Change
management
Mobilizing cross-
functional teams
Operating
model
Alignment Outcome focused
measurement
Ownership &
Account ability
Empowerment
(Rules & Tools)
Mobilizing the Organization for Change

35. Questions

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