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CCGDG
Data Governance and MDM Workshop
Agenda
Housekeeping
Introductions
Data Governance (DG) Workshop
– Fundamentals of DG (Drivers &
Benefits)
– CCGDG Framework; Top 5
Components of An Effective
Data Governance Program
– Competency/Marker Level
Analysis and Scoring
– Prioritization
– Roadmap Creation
Profisee - Enable Your Master Data
Management (MDM) Journey
Q & A
Housekeeping
Send questions to Sami.
She will send to Natalie to
review during breaks.
Please mute your line!
We will not force mute.
Links: See chat window Worksheet: See handouts. This session will be
recorded.
If you do not want to be
recorded, please
disconnect at this time.
Please message Sami with any questions, concerns or if you need assistance during this workshop.
Ellen (Hubert) Hitchins,
Cloud Transformation
Specialist
Natalie Greenwood,
Director of Strategy
Accomplished multi-functional executive with a proven track record of
managing global/regional projects and programs across diverse IT and
business environments. Consistently deliver results and assume
responsibilities with increasing complexity. Recognized as a senior
advisor who utilizes knowledge and insight to create actionable
innovation strategies
Learn more by clicking on the links below:
• https://ccganalytics.com/solutions/data-governance-data-
management
• https://www.linkedin.com/in/nataliegreenwood/
• https://www.youtube.com/watch?v=1xrEiGCKeOc
• https://blog.ccganalytics.com/data-governance-challenges-9-ways-
overcome
CCG Analytics
We bring great People together to do extraordinary Things
DATA ANALYTICS STRATEGY
Working with CCG is like working with extended team members. Consultants become an
integral part of the work bringing expertise for cutting edge design and development.
- CIO, HCPS
CCGDG: A full spectrum of solutionsRapidDG Accelerator
Gain insight into your organizations need for
data governance and what you can do to
improve your success using this lightweight
framework that delivers an actionable
roadmap to guide your next year of data
governance.
Strategy & Enablement
CCG offers a range of solutions to support your data governance journey, starting with our RapidDG accelerator and
leading into a full spectrum of DG offerings to address your organizations unique challenges.
Data Governance
• Operating Model Definition and Enablement
• Business Case Development
• Communication Planning and Execution
• Budget Planning Support
• Training Material Development and Execution
• Policy Assessment and Gap Analysis
• P&P Authoring Support
• Metadata Tool Selection and Enablement
• Architectural Standards Development and Enablement
• Master Data Management Assessment and Enablement
• Data Integration Management
• Regulatory Compliance Support (GDPR/CCPA)
• Data Quality Program Development and Enablement
CCGDG
Virtual Introductions (A-Z by last name)
Name, Title, What do you hope to get out of today’s workshop?
2
Assess your organizations DG needs using the proven
CCGDG framework
Develop an actionable plan3
1
Describe what Data Governance is, key drivers, and
benefits1
Workshop
Learning
Objectives
Take one minute to write a
short definition of data
governance on your sticky
note.
Defining Data Governance
https://funretro.io/publicboard/XNYLqW3gcNR1B2Wl2Jfv5KpuHiz2/0ee1c93c-91d2-4983-9a6a-2bce1044da18
CCGDG Framework
Data Governance is the
organizational approach to
data and information
management, formalized as
policies and procedures
that encompass the full life
cycle of data, including
acquisition, development,
use, and disposal.
1 2 3Inactive
There are some aspects
of DG employed within
the organization, but
there are no enterprise
standards in place(e.g.
the IS team has
developed a data
dictionary).
Key Drivers for Data Governance:
Reactive
The enterprise is responding
to a specific issue or
problem (e.g. data breach or
audit).
The enterprise is facing a
major change or there is a
potential regulatory threat
to the organization (e.g.
GDPR, acquisitions, or
preparing for a public
offering)
Proactive
The enterprise recognizes
the value of data and has
decided to treat data as a
corporate asset (e.g.
recruitment of a CDO,
budgeted DG program,
etc.).
What are your organizational drivers?
Please post in comments section
1 2 3
Benefits of Data Governance
Increase Revenue
– Improve profitability
with better analytics
for improved decision
making
– Increase opportunity
through availability of
information for
business insights and
competitive advantage
Reduce Cost through
Operational
Efficiencies
– Standardized and high
quality information
– Reduce IT costs by
reducing duplicate
work effort or re-work
Minimize Risk
– Reduce regulatory
compliance risk and
improve confidence in
operational and
management decisions
– Provide better insights
into fraud with
improved analytics;
Improve reporting to
regulators and
authorities through
defined data processes
and data management
What benefits will your organization realize?
Please post in comments section
CCGDG
Data Use | Data Controls | Data Lifecycle Management
“All models are wrong, some are useful” - George Box
We needed to assess faster, deriving actionable insights that could be quickly
implemented with minimal disruption. To achieve this, we needed to develop a
simplified, more targeted framework and methodology.
I don’t trust my data
(data quality)
Data architecture is the
wild, wild west
(data architecture)
There is no single way
to request data/reports
(data architecture)
I don’t know how my
metrics are defined
(metadata
management)
I can’t tell you what
source system the data
came from (metadata
management)
I don’t know who has
access to the data (data
security and privacy)
I don’t know who is
responsible for the data
(program management)
We don’t classify or
manage sensitive
(data security and
privacy)
I’m not sure what our
policies and procedures
are for approving data
access (data security
and privacy)
Most Common Challenges/Themes
What are your challenges?
Please post in comments section
CCGDG Framework
CCGDG establishes five proven
competencies that are the
backbone of our data
governance framework.
Architectural Standards
MDM / RDM
Data & Info Sharing
Analytics/Data Science
Retention & Disposition
Classification
Continuity & Recovery
Regulatory Reporting
Access Controls & Auditing
Data Dictionary
Business Glossary
Data Asset Catalog
Data Lineage
Data Standards
Tracking
Data Quality Rules
Assessing
Discovery
Resolving
Monitoring
Org Structure
Strategic Positioning Education & Training
Org Preparedness
Policies & Procedures
CCGDG Marker Level Analysis
Org Structure
Strategic Positioning Education & Training
Org Preparedness
Policies & Procedures
Define your
operating
model
https://funretro.io/publicboard/XNYLqW3gcNR1B2Wl2Jfv5KpuHiz2/896123de-d974-4ffe-a625-15da27b9b484
Enforced
The enterprise-wide DG
Program is well
established. Adherence is
mandatory for assigned
business units. Business
units rely on the
enterprise for direction.
Shared
Accountability
Governance is centrally
controlled. Adherence is
measured. Continuous
monitoring and program
improvement as the
organization scales.
Emerging
Enterprise-wide DG
Program planning &
requirements gathering
has begun. Business units
are primarily siloed and
making governance
decisions locally.
Sponsored
An enterprise-wide
sponsored DG Program
has been defined. Business
Units are encouraged to
adhere. Adoption in
critical business units
started.
Undisciplined
There is no Enterprise-
wide DG Program or
enterprise support. DG is
not considered a priority
and/or is managed locally
within individual business
units.
1
2
3
4
5
Program Management
Capability Maturity Model: Level 3
Maturity
Capability
Rate yourself!
Data Dictionary
Business Glossary
Data Asset Catalog
Data Lineage
Data Standards
What metadata
management
functions do you have
enabled? What are
the highest priority
functions needed
today?
https://funretro.io/publicboard/XNYLqW3gcNR1B2Wl2Jfv5KpuHiz2/896123de-d974-4ffe-a625-15da27b9b484
Rate yourself!
Data architecture is a broad term that refers to the set of
policies, standards, functions, methods, processes, procedures,
tools, and models that govern and define the type of data,
information, and content collected, and how it is used, stored,
managed and integrated within an organization and in and
between its data stores
Data Architecture
MDM / RDM
Data & Info Sharing
Analytics/Data Science
Architectural Standards
Rate your maturity
https://funretro.io/publicboard/XNYLqW3gcNR1B2Wl2Jfv5KpuHiz2/896123de-d974-4ffe-a625-15da27b9b484
Analytic Maturity
Rate yourself!
The practice of ensuring appropriate controls around data to
ensure only a minimally acceptable amount of risk.
Data Security and Privacy
Retention & Disposition
Classification
Continuity & Recovery
Regulatory Reporting
Access Controls & Auditing
What are some of
your security and
privacy requirements
or considerations?
https://funretro.io/publicboard/XNYLqW3gcNR1B2Wl2Jfv5KpuHiz2/896123de-d974-4ffe-a625-15da27b9b484
Rate yourself!
The management of data as an asset with attributes that
degrade and require maintenance, e.g. completeness, accuracy.
Data Quality
Tracking
Data Quality Rules
Assessing
Discovery
Resolving
Monitoring
Do you have a DQ
program? Is It
effective?
https://funretro.io/publicboard/XNYLqW3gcNR1B2Wl2Jfv5KpuHiz2/896123de-d974-4ffe-a625-15da27b9b484
Rate yourself!
Using your competency
scores, prioritize your action
items on your placemat
Action Plan
2
Assess your organizations DG needs using the proven
CCGDG framework
Develop an actionable plan3
1
Describe what Data Governance is, key drivers, and
benefits1
Recap on
Learning
Objectives
Q&A
www.ccganalytics.com
Virtual Break
Returning at x time?
PROFISEE
John Rossiter
John Rossiter is a 20+ year veteran consultant specializing in Master Data
Management and Data Governance. Starting his career with Ernst & Young,
LLP, John has garnered deep strategy and delivery experience. Joining
Profisee over 6 Years ago, John has been deployed as a Senior Consult
within Profisee’s professional services team and as a Senior Solutions
Engineer as a member of the direct sales team. John has personally been
involved in dozens of successful Profisee implementations.
John Rossiter –
SR Solution Engineer
05_01_1205_01_12
OUTCOME-FOCUSED
MDM
Enable Your MDM Journey
37
Strictly Confidential © 2019 Profisee Group, Inc.
John Rossiter, Sr. Solutions Engineer
john.rossiter@profisee.com
05_01_18
DATA MANAGEMENT SOLUTION SPACE
38
Data Quality
Data Profiling
Deduplication
Data Governance
Data Glossary
Data Catalog
Policies
Master Data
Management
Modeling
Golden
Record
Management
Information
Stewardship
Workflow
Management
Data Quality
Rules
Data Verification/
Standardization
Strictly Confidential © 2019 Profisee Group, Inc.
Innovation
05_01_12
WE ALL KNOW THIS…
39
Digital Transformation
a
Revenues Costs Risk Agility
a
Data
volumes
System
Complexity
Digital TX
Initiatives
Strictly Confidential © 2019 Profisee Group, Inc.
05_01_12
WHO IS YOUR CUSTOMER? WHERE’S WALDO?
Strictly Confidential © 2019 Profisee Group, Inc.
05_01_12
BI/DW
SCMERP
CRM
Company: Creet Carrier Corp
Contact: Deborah Varchie
Email: deb@cretecarrier.com
Credit Rating: CCC
DUNS:
Address: 800 Piedmont Ave
Atlanta, GA 30308
Company: Creet Carrier Co
Contact: Deborah Varchie
Address: 12001 Buford Hwy
Doraville, GA 30340
Company: Crete Carrier Corp
Company: Creet Carrier Corp
Company: Crete Carrier Co.
Company: Crete Carrier
Company: Creet Carrier Co
Company: Creet Carrier Corp
Contact: Deb Varchie
Company: Crete Carrier Co.
Contact:: Deborah Varchie
Company: Crete Carrier
Contact: Deborah Varchy
HOW DOES MASTER DATA MANAGEMENT HELP?
Company: Creet Carrier Corp
Contact: Deborah Varchie
Company: Creet Carrier Corp
Contact: Deborah Varchie
Email: deb@crete.com
DUNS: 12-123-4567
Credit Rating: CCC
Address: 800 Piedmont Ave
Atlanta, GA 30308
Email: deb@crete.com
DUNS: 12-123-4567
ERP
CRM
SCM
BI/DWCRM
ERP SCM
Address: 800 Piedmont Ave
Atlanta, GA 30308
BI/DW
MDM
Correct Enhance Connect Unify| | |Strictly Confidential © 2019 Profisee Group, Inc.
05_01_20
HOW DOES MASTER DATA MANAGEMENT HELP?
Strictly Confidential © 2019 Profisee Group, Inc.
How does MDM enable
enhanced and new
business processes in
support of digital
business
transformation?
• Contains the trusted “golden record” of the customer’s master data,
and references to the customer’s data across all operational
systems.
• Can facilitate trusted access to all master and transactional data
about the customer in those systems.
• Allows business rules to be automated and executed with low
latency across boundaries that formerly required manual processes
to be executed during or after the current operation, or not at all.
MDM:
BI/D
W
SCMERP
CRM
ERP
CRM
SCM
BI/D
W
CRM
ERP SCM
BI/DW
MD
M
05_01_15
“Failure to use a structured framework that …fosters business
ratification on the financial benefits …often leads to program failure.”
>63% of MDM projects will fail to go beyond piloting and experimentation
Confusing the "what“ or “how” with the "why" :
• Common problem business cases:
• "Better data quality"
• "Better decisions"
• "Single version of the truth"
• "360-degree view"
BUSINESS CASE IS CRUCIAL
Following a structured framework improves success
#1
REASON
FOR MDM
FAILURE
- GARTNER
“
Strictly Confidential © 2019 Profisee Group, Inc.
05_01_16
WHY
You should build your business case
around the why
WHAT, HOW, WHY
• Reduce the Sales Cycle
• Increase Customer Retention
• Increase Market Share
• Improve Cross-Sell/Up-Sell
• Improve Vendor Terms
• Refine Low Inventory Model
• Reduce Regulatory Exposure
HOW
When you’re ready, evaluate technology based
on the how
WHAT
Most build a business case around the what
• Digital Transformation
• Better Marketing Data
• Consolidated Data
• Centralized information
• 360 degree view
• Customer Segmentation
• Improved Data Integration
• High Quality data
• Survivorship
• Cleansing
• Matching
• Business Rules
• Canonical Data Models
• Workflow Processes
• Integration
44Strictly Confidential © 2019 Profisee Group, Inc.
05_01_16
Strictly Confidential © 2019 Profisee Group, Inc. 45
MDM Fast
Start
Iterative Deployment
Business
Impact
Roadmap
ENGAGE & ENABLE THE MDM JOURNEY
Customer Journey
Realization of full business value
Solution Platform
Industrial strength with full flexibility
Engage EnableMulti-Domain,
Multi-Style
Single
Code Base
Cloud-Native
Architecture
05_01_20
Get It Clean
PROFISEE DEMONSTRATION AREAS
46Strictly Confidential © 2018 Profisee Group, Inc.
Keep It Clean
5. Workflow
1. Stewardship
2. Matching Configuration
3. Matching Configuration Adjustments
4. Operational Matching
05_01_20
1. Stewardship
• Approval
• Data Quality
2. Matching Configuration
• No Coding Required
• Deterministic and Probabilistic
3. Matching Configuration Adjustments
• Quick and Easy Updates
• Match your Way
4. Operational Matching
• Look Up Before Create
5. Workflow
• Control the Process
• Contribute / Approval Tasks
DEMONSTRATION REVIEW
47Strictly Confidential © 2019 Profisee Group, Inc.
05_01_16
Strictly Confidential © 2019 Profisee Group, Inc. 48
It cost’s LEGO approximately $250,000 to create a mold for a single brick.
Reuse of molds are key to LEGO design.
WHAT DO THESE ITEMS HAVE IN COMMON?
05_01_12
WHY CUSTOMERS TURN TO PROFISEE
Fast Track Data Management (FTDMTM)
Fast Track Data Management
Enables any company to get started now, and become strategic tomorrow.
things:3This requires a solution with these
Other vendors provide one or two of these | Profisee is the only solution with ALL three.
Fast
One platform, one technology.
Configuration, not coding.
Affordable
Simple Pricing Options
Self managed and owned.
Scalable
Manage 1B Records
Support 1K transaction/second.
Strictly Confidential © 2019 Profisee Group, Inc.
05_01_20
QUESTIONS?
50Strictly Confidential © 2019 Profisee Group, Inc.
Wrap-up

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Data Governance with Profisee, Microsoft & CCG

  • 2. Agenda Housekeeping Introductions Data Governance (DG) Workshop – Fundamentals of DG (Drivers & Benefits) – CCGDG Framework; Top 5 Components of An Effective Data Governance Program – Competency/Marker Level Analysis and Scoring – Prioritization – Roadmap Creation Profisee - Enable Your Master Data Management (MDM) Journey Q & A
  • 3. Housekeeping Send questions to Sami. She will send to Natalie to review during breaks. Please mute your line! We will not force mute. Links: See chat window Worksheet: See handouts. This session will be recorded. If you do not want to be recorded, please disconnect at this time. Please message Sami with any questions, concerns or if you need assistance during this workshop.
  • 4. Ellen (Hubert) Hitchins, Cloud Transformation Specialist
  • 5. Natalie Greenwood, Director of Strategy Accomplished multi-functional executive with a proven track record of managing global/regional projects and programs across diverse IT and business environments. Consistently deliver results and assume responsibilities with increasing complexity. Recognized as a senior advisor who utilizes knowledge and insight to create actionable innovation strategies Learn more by clicking on the links below: • https://ccganalytics.com/solutions/data-governance-data- management • https://www.linkedin.com/in/nataliegreenwood/ • https://www.youtube.com/watch?v=1xrEiGCKeOc • https://blog.ccganalytics.com/data-governance-challenges-9-ways- overcome
  • 6. CCG Analytics We bring great People together to do extraordinary Things DATA ANALYTICS STRATEGY Working with CCG is like working with extended team members. Consultants become an integral part of the work bringing expertise for cutting edge design and development. - CIO, HCPS
  • 7. CCGDG: A full spectrum of solutionsRapidDG Accelerator Gain insight into your organizations need for data governance and what you can do to improve your success using this lightweight framework that delivers an actionable roadmap to guide your next year of data governance. Strategy & Enablement CCG offers a range of solutions to support your data governance journey, starting with our RapidDG accelerator and leading into a full spectrum of DG offerings to address your organizations unique challenges. Data Governance • Operating Model Definition and Enablement • Business Case Development • Communication Planning and Execution • Budget Planning Support • Training Material Development and Execution • Policy Assessment and Gap Analysis • P&P Authoring Support • Metadata Tool Selection and Enablement • Architectural Standards Development and Enablement • Master Data Management Assessment and Enablement • Data Integration Management • Regulatory Compliance Support (GDPR/CCPA) • Data Quality Program Development and Enablement CCGDG
  • 8. Virtual Introductions (A-Z by last name) Name, Title, What do you hope to get out of today’s workshop?
  • 9. 2 Assess your organizations DG needs using the proven CCGDG framework Develop an actionable plan3 1 Describe what Data Governance is, key drivers, and benefits1 Workshop Learning Objectives
  • 10. Take one minute to write a short definition of data governance on your sticky note. Defining Data Governance https://funretro.io/publicboard/XNYLqW3gcNR1B2Wl2Jfv5KpuHiz2/0ee1c93c-91d2-4983-9a6a-2bce1044da18
  • 11. CCGDG Framework Data Governance is the organizational approach to data and information management, formalized as policies and procedures that encompass the full life cycle of data, including acquisition, development, use, and disposal.
  • 12. 1 2 3Inactive There are some aspects of DG employed within the organization, but there are no enterprise standards in place(e.g. the IS team has developed a data dictionary). Key Drivers for Data Governance: Reactive The enterprise is responding to a specific issue or problem (e.g. data breach or audit). The enterprise is facing a major change or there is a potential regulatory threat to the organization (e.g. GDPR, acquisitions, or preparing for a public offering) Proactive The enterprise recognizes the value of data and has decided to treat data as a corporate asset (e.g. recruitment of a CDO, budgeted DG program, etc.). What are your organizational drivers? Please post in comments section
  • 13. 1 2 3 Benefits of Data Governance Increase Revenue – Improve profitability with better analytics for improved decision making – Increase opportunity through availability of information for business insights and competitive advantage Reduce Cost through Operational Efficiencies – Standardized and high quality information – Reduce IT costs by reducing duplicate work effort or re-work Minimize Risk – Reduce regulatory compliance risk and improve confidence in operational and management decisions – Provide better insights into fraud with improved analytics; Improve reporting to regulators and authorities through defined data processes and data management What benefits will your organization realize? Please post in comments section
  • 14. CCGDG Data Use | Data Controls | Data Lifecycle Management
  • 15. “All models are wrong, some are useful” - George Box
  • 16. We needed to assess faster, deriving actionable insights that could be quickly implemented with minimal disruption. To achieve this, we needed to develop a simplified, more targeted framework and methodology.
  • 17. I don’t trust my data (data quality) Data architecture is the wild, wild west (data architecture) There is no single way to request data/reports (data architecture) I don’t know how my metrics are defined (metadata management) I can’t tell you what source system the data came from (metadata management) I don’t know who has access to the data (data security and privacy) I don’t know who is responsible for the data (program management) We don’t classify or manage sensitive (data security and privacy) I’m not sure what our policies and procedures are for approving data access (data security and privacy) Most Common Challenges/Themes What are your challenges? Please post in comments section
  • 18. CCGDG Framework CCGDG establishes five proven competencies that are the backbone of our data governance framework.
  • 19. Architectural Standards MDM / RDM Data & Info Sharing Analytics/Data Science Retention & Disposition Classification Continuity & Recovery Regulatory Reporting Access Controls & Auditing Data Dictionary Business Glossary Data Asset Catalog Data Lineage Data Standards Tracking Data Quality Rules Assessing Discovery Resolving Monitoring Org Structure Strategic Positioning Education & Training Org Preparedness Policies & Procedures CCGDG Marker Level Analysis
  • 20. Org Structure Strategic Positioning Education & Training Org Preparedness Policies & Procedures Define your operating model https://funretro.io/publicboard/XNYLqW3gcNR1B2Wl2Jfv5KpuHiz2/896123de-d974-4ffe-a625-15da27b9b484
  • 21. Enforced The enterprise-wide DG Program is well established. Adherence is mandatory for assigned business units. Business units rely on the enterprise for direction. Shared Accountability Governance is centrally controlled. Adherence is measured. Continuous monitoring and program improvement as the organization scales. Emerging Enterprise-wide DG Program planning & requirements gathering has begun. Business units are primarily siloed and making governance decisions locally. Sponsored An enterprise-wide sponsored DG Program has been defined. Business Units are encouraged to adhere. Adoption in critical business units started. Undisciplined There is no Enterprise- wide DG Program or enterprise support. DG is not considered a priority and/or is managed locally within individual business units. 1 2 3 4 5 Program Management Capability Maturity Model: Level 3 Maturity Capability Rate yourself!
  • 22. Data Dictionary Business Glossary Data Asset Catalog Data Lineage Data Standards What metadata management functions do you have enabled? What are the highest priority functions needed today? https://funretro.io/publicboard/XNYLqW3gcNR1B2Wl2Jfv5KpuHiz2/896123de-d974-4ffe-a625-15da27b9b484
  • 24. Data architecture is a broad term that refers to the set of policies, standards, functions, methods, processes, procedures, tools, and models that govern and define the type of data, information, and content collected, and how it is used, stored, managed and integrated within an organization and in and between its data stores Data Architecture MDM / RDM Data & Info Sharing Analytics/Data Science Architectural Standards Rate your maturity https://funretro.io/publicboard/XNYLqW3gcNR1B2Wl2Jfv5KpuHiz2/896123de-d974-4ffe-a625-15da27b9b484
  • 27. The practice of ensuring appropriate controls around data to ensure only a minimally acceptable amount of risk. Data Security and Privacy Retention & Disposition Classification Continuity & Recovery Regulatory Reporting Access Controls & Auditing What are some of your security and privacy requirements or considerations? https://funretro.io/publicboard/XNYLqW3gcNR1B2Wl2Jfv5KpuHiz2/896123de-d974-4ffe-a625-15da27b9b484
  • 29. The management of data as an asset with attributes that degrade and require maintenance, e.g. completeness, accuracy. Data Quality Tracking Data Quality Rules Assessing Discovery Resolving Monitoring Do you have a DQ program? Is It effective? https://funretro.io/publicboard/XNYLqW3gcNR1B2Wl2Jfv5KpuHiz2/896123de-d974-4ffe-a625-15da27b9b484
  • 31. Using your competency scores, prioritize your action items on your placemat Action Plan
  • 32. 2 Assess your organizations DG needs using the proven CCGDG framework Develop an actionable plan3 1 Describe what Data Governance is, key drivers, and benefits1 Recap on Learning Objectives
  • 36. John Rossiter is a 20+ year veteran consultant specializing in Master Data Management and Data Governance. Starting his career with Ernst & Young, LLP, John has garnered deep strategy and delivery experience. Joining Profisee over 6 Years ago, John has been deployed as a Senior Consult within Profisee’s professional services team and as a Senior Solutions Engineer as a member of the direct sales team. John has personally been involved in dozens of successful Profisee implementations. John Rossiter – SR Solution Engineer
  • 37. 05_01_1205_01_12 OUTCOME-FOCUSED MDM Enable Your MDM Journey 37 Strictly Confidential © 2019 Profisee Group, Inc. John Rossiter, Sr. Solutions Engineer john.rossiter@profisee.com
  • 38. 05_01_18 DATA MANAGEMENT SOLUTION SPACE 38 Data Quality Data Profiling Deduplication Data Governance Data Glossary Data Catalog Policies Master Data Management Modeling Golden Record Management Information Stewardship Workflow Management Data Quality Rules Data Verification/ Standardization Strictly Confidential © 2019 Profisee Group, Inc. Innovation
  • 39. 05_01_12 WE ALL KNOW THIS… 39 Digital Transformation a Revenues Costs Risk Agility a Data volumes System Complexity Digital TX Initiatives Strictly Confidential © 2019 Profisee Group, Inc.
  • 40. 05_01_12 WHO IS YOUR CUSTOMER? WHERE’S WALDO? Strictly Confidential © 2019 Profisee Group, Inc.
  • 41. 05_01_12 BI/DW SCMERP CRM Company: Creet Carrier Corp Contact: Deborah Varchie Email: deb@cretecarrier.com Credit Rating: CCC DUNS: Address: 800 Piedmont Ave Atlanta, GA 30308 Company: Creet Carrier Co Contact: Deborah Varchie Address: 12001 Buford Hwy Doraville, GA 30340 Company: Crete Carrier Corp Company: Creet Carrier Corp Company: Crete Carrier Co. Company: Crete Carrier Company: Creet Carrier Co Company: Creet Carrier Corp Contact: Deb Varchie Company: Crete Carrier Co. Contact:: Deborah Varchie Company: Crete Carrier Contact: Deborah Varchy HOW DOES MASTER DATA MANAGEMENT HELP? Company: Creet Carrier Corp Contact: Deborah Varchie Company: Creet Carrier Corp Contact: Deborah Varchie Email: deb@crete.com DUNS: 12-123-4567 Credit Rating: CCC Address: 800 Piedmont Ave Atlanta, GA 30308 Email: deb@crete.com DUNS: 12-123-4567 ERP CRM SCM BI/DWCRM ERP SCM Address: 800 Piedmont Ave Atlanta, GA 30308 BI/DW MDM Correct Enhance Connect Unify| | |Strictly Confidential © 2019 Profisee Group, Inc.
  • 42. 05_01_20 HOW DOES MASTER DATA MANAGEMENT HELP? Strictly Confidential © 2019 Profisee Group, Inc. How does MDM enable enhanced and new business processes in support of digital business transformation? • Contains the trusted “golden record” of the customer’s master data, and references to the customer’s data across all operational systems. • Can facilitate trusted access to all master and transactional data about the customer in those systems. • Allows business rules to be automated and executed with low latency across boundaries that formerly required manual processes to be executed during or after the current operation, or not at all. MDM: BI/D W SCMERP CRM ERP CRM SCM BI/D W CRM ERP SCM BI/DW MD M
  • 43. 05_01_15 “Failure to use a structured framework that …fosters business ratification on the financial benefits …often leads to program failure.” >63% of MDM projects will fail to go beyond piloting and experimentation Confusing the "what“ or “how” with the "why" : • Common problem business cases: • "Better data quality" • "Better decisions" • "Single version of the truth" • "360-degree view" BUSINESS CASE IS CRUCIAL Following a structured framework improves success #1 REASON FOR MDM FAILURE - GARTNER “ Strictly Confidential © 2019 Profisee Group, Inc.
  • 44. 05_01_16 WHY You should build your business case around the why WHAT, HOW, WHY • Reduce the Sales Cycle • Increase Customer Retention • Increase Market Share • Improve Cross-Sell/Up-Sell • Improve Vendor Terms • Refine Low Inventory Model • Reduce Regulatory Exposure HOW When you’re ready, evaluate technology based on the how WHAT Most build a business case around the what • Digital Transformation • Better Marketing Data • Consolidated Data • Centralized information • 360 degree view • Customer Segmentation • Improved Data Integration • High Quality data • Survivorship • Cleansing • Matching • Business Rules • Canonical Data Models • Workflow Processes • Integration 44Strictly Confidential © 2019 Profisee Group, Inc.
  • 45. 05_01_16 Strictly Confidential © 2019 Profisee Group, Inc. 45 MDM Fast Start Iterative Deployment Business Impact Roadmap ENGAGE & ENABLE THE MDM JOURNEY Customer Journey Realization of full business value Solution Platform Industrial strength with full flexibility Engage EnableMulti-Domain, Multi-Style Single Code Base Cloud-Native Architecture
  • 46. 05_01_20 Get It Clean PROFISEE DEMONSTRATION AREAS 46Strictly Confidential © 2018 Profisee Group, Inc. Keep It Clean 5. Workflow 1. Stewardship 2. Matching Configuration 3. Matching Configuration Adjustments 4. Operational Matching
  • 47. 05_01_20 1. Stewardship • Approval • Data Quality 2. Matching Configuration • No Coding Required • Deterministic and Probabilistic 3. Matching Configuration Adjustments • Quick and Easy Updates • Match your Way 4. Operational Matching • Look Up Before Create 5. Workflow • Control the Process • Contribute / Approval Tasks DEMONSTRATION REVIEW 47Strictly Confidential © 2019 Profisee Group, Inc.
  • 48. 05_01_16 Strictly Confidential © 2019 Profisee Group, Inc. 48 It cost’s LEGO approximately $250,000 to create a mold for a single brick. Reuse of molds are key to LEGO design. WHAT DO THESE ITEMS HAVE IN COMMON?
  • 49. 05_01_12 WHY CUSTOMERS TURN TO PROFISEE Fast Track Data Management (FTDMTM) Fast Track Data Management Enables any company to get started now, and become strategic tomorrow. things:3This requires a solution with these Other vendors provide one or two of these | Profisee is the only solution with ALL three. Fast One platform, one technology. Configuration, not coding. Affordable Simple Pricing Options Self managed and owned. Scalable Manage 1B Records Support 1K transaction/second. Strictly Confidential © 2019 Profisee Group, Inc.

Notas do Editor

  1. Ask the audience to put their sticky notes on the board. Arrange sticky notes by DG competency.
  2. Rate yourself.
  3. For CCG internal purposes only: Data dictionary Business glossary Data asset catalog Data lineage Data standards
  4. Rate yourself The CMM rating system for the optimizing functions are on a 3 point scale: Planning: In discussions, reviewing PM methodology, beginning to understand the ‘need’ for a formal program Executing: Beginning to roll out standards, etc. according to the published PM methodology Delivering: The enterprise is following the PM methodology, auditing and measurement are incorporated to ensure compliance and rate effectiveness of the program.
  5. For CCG internal purposes only: Analytics & data science (maturity of the overall analytic program) Architectural standards Enterprise data/information sharing MDM/RDM
  6. Rate yourself The CMM rating system for the optimizing functions are on a 3 point scale: Planning: In discussions, reviewing PM methodology, beginning to understand the ‘need’ for a formal program Executing: Beginning to roll out standards, etc. according to the published PM methodology Delivering: The enterprise is following the PM methodology, auditing and measurement are incorporated to ensure compliance and rate effectiveness of the program.
  7. For CCG internal purposes only: Regulatory data considerations Data retention and disposition Policies and procedures Data usage / disposition / sharing Adherence / measurement / enforcement Business continuity Classification
  8. Rate yourself The CMM rating system for the optimizing functions are on a 3 point scale: Planning: In discussions, reviewing PM methodology, beginning to understand the ‘need’ for a formal program Executing: Beginning to roll out standards, etc. according to the published PM methodology Delivering: The enterprise is following the PM methodology, auditing and measurement are incorporated to ensure compliance and rate effectiveness of the program.
  9. For CCG internal purposes only: Assessing Discovery Tracking Resolving Monitoring
  10. Rate yourself The CMM rating system for the optimizing functions are on a 3 point scale: Planning: In discussions, reviewing PM methodology, beginning to understand the ‘need’ for a formal program Executing: Beginning to roll out standards, etc. according to the published PM methodology Delivering: The enterprise is following the PM methodology, auditing and measurement are incorporated to ensure compliance and rate effectiveness of the program.
  11. Why ‘Outcome-focused’? – because we recognize that as important a technology as it is, MDM is only a means to an end. We’re not interested in technology for its own sake, we’re interested in helping our customers drive a business outcome. Getting there will be a journey, but we’re been on this journey before and can help guide the way.
  12. So let’s start with a high level view of why MDM is important We all know that Data volumes are exploding! System complexity is growing exponentially – best of breed applications for each line of business, some in the cloud, some on premises, different regions, division, languages – when you add a new application, it’s incredibly hard to completely retire the old one – lots of complexity and growing fast Digital Transformation initiatives are growing as fast as the data – everyone knows that data is becoming an asset of the business and should be used to increase revenues, decrease costs, reduce risk, and increase agility So at the macro level we can all agree where things are going, but it’s when we look at the micro-level that the problems become more apparent…
  13. Let’s look at one small example of what’s really happening: Note that this example is in B2B customer data BUT DON’T BE DISTRACTED BY THAT – we’re looking at this to understand the interaction between systems – how they can (or should) share data and conduct what you might think of as ‘CONTINIOUS HARMONIZATION’. You should be watching for which system has which pieces of information, how can they share them, and how are changes managed. This is not just about customer data – this is about governance, stewardship, reference data, master data and how the whole complex system interacts to achieve a business outcome. So let’s jump in! Here is a picture of a typical enterprise. Let's look at Crete Carrier, one of their top customers.  1. Let's start with CRM. Here we find not one, but three different records for Crete Carrier. With MDM we can identify and Correct these duplicates, merging them together.    2. In our ERP, we're missing the DUNS number, and the address only has a 4 digit zip. With MDM, we can enrich this data, filling in the blank DUNS, and verifying the Address.  3. Next, in our Supply Chain system, the address is different from our ERP and incorrect. With MDM, we can Connect these systems, updating our SCM application with the new address from the ERP.  Lastly, our BI/Data Warehouse. Since we are consolidating data across applications, it's a real mess, with all versions of Creet Carrier represented. With MDM now connecting these applications together, we can create a complete view of Crete Carrier, enabling more accurate and trusted analytics.    With MDM, we are able to Correct, Enhance, and Connect data to support information driven initiatives.   So why does this matter today? It seems obvious. Now we just went to a fairly detailed level in this example, and you might be forgiven for thinking this is about address verification, or de-duping the customer list, but that’s NOT what this is really about! As I said at the beginning, this is really about where is my trusted data? How do I share that between systems? And what happens when there are updates? This isn’t a customer list problem, it’s a data management problem, and Master Data Management is the toolset you can use to implement whatever business rules you choose and achieve what we earlier called ‘continuous harmonization’! There’s a lot more to this whole problem than we just described, but we’ll come back to that a little later. For now, let’s look at the benefits of solving some of these problems…
  14. 63% of projects don’t get past the funding approval – Profisee experience https://www.forbes.com/sites/baininsights/2015/04/20/to-benefit-from-big-data-resist-the-three-false-promises/#79e63a947d81 80% of project management executives don’t know how their projects align with their company’s business strategy. (Source: Changepoint)
  15. At Profisee, we think of our job in 2 parts: Delivering the best and most flexible MDM platform to ENABLE our customers to solve any MDM problem – or as is usually the case, many MDM problems simultaneously To ENGAGE the customer – irrespective of their prior knowledge, experience or sophistication – and help them along their MDM journey – and it is a journey, as you’ll see when we get a little deeper into it It’s worth noting here that we’re not going to get into a lot of feature detail in this discussion. Most MDM platforms have most of the required features. At this point in the MDM market most vendors can do DQ or Matching (although, incredibly not all!) – the real difference that you have to watch for is HOW they do it, and that what we’re going to talk about. We have designed out system to be industrial strength, but highly flexible as you will see. [Many other MDM vendors, specially the larger ones, will also describe themselves as ‘industrial strength’, but often that just means they are ‘overweight’ and bulky. They have all the features, but they are put together from multiple acquisitions and ultimately the whole thing is just too inflexible to support the natural evolution that will happen as the customer progresses through their journey – more on that later] Let’s take a look at some or the key aspects of the Profisee Platform…
  16. This is a standard content slide with a callout at the bottom.
  17. Why DO companies turn to Profisee?  Instead of Massive Data Management, Profisee focuses on helping an organization Fast Track its Data Management apporach, which enables any company to , regardless of size or where they consider themselves on their data management journey, to get started quickly and then to scale that capability across any Strategic Business Initative..  To do this, companies need a solution with (3) three things:  First, they need a solution that is Fast to implement and deploy. It can't take months or years to get the first solution in production.  Second, they need something that is affordable. Not just affordable to buy, but more importantly, affordable to own.  Lastly, the solution must scale with them over time as they grow and manage more data.  There are a lot of vendors that provide one, or even two of these things. Profisee is the only solution with all three. Let's see why.   (THIS IS ALSO AN OPPORTUNTY TO POSITION COMMPETITORS IF YOU KNOW WHO YOU ARE UP AGAINST.) (IE...ORCHESTRA AND RELTIO CAN'T SCALE...INFORMATICA IS NOT FAST OR AFFORDABLE)...SAID NOT SO DIRECTLY/OR WITHOUT NAMES.  Let's take a look at each of these three areas.
  18. This is an impact slide. Use this to exclaim a fundamental, overarching idea that you want to really drive home. Put a big image in the back of the slide for even more impact.
  19. Sami to conclude workshop. Thank everyone for attending. Note pdf will be sent Offer 1:1 workshop with individuals interested