Data Governance and MDM Workshop Agenda

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

Please message Sami with any questions, concerns or if you need
assistance during this workshop.
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 NOT
BE RECORDED.
WE WILL SHARE SLIDES
WITH YOU.
TO MAKE PRESENTATION
LARGER, DRAW THE
BOTTOM HALF OF SCREEN
‘UP’.

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
Name, Company, 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?

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?

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/fafffcec-4d39-4155-a228-81e2c9e87895

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?

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

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?

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?

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

Virtual Break
Returning at 11:25 Central

05_01_20
TARYN SIEMENS
SALES ENGINEER,
PROFISEE
Taryn Siemens is a Sales Engineer for Profisee. Prior to
joining Profisee, Taryn was the Master Data Program
Manager for one of the world’s largest outdoor sporting
goods companies. Taryn lives in Kansas City with his
wife Jennifer, his children Gabriel and Eva, and their two
dogs Maestro and Asher.

05_01_1205_01_12
OUTCOME-FOCUSED
MDM
Enable Your MDM Journey
36
Strictly Confidential © 2019 Profisee Group, Inc.
Taryn Siemens, Solutions Engineer
taryn.siemens@profisee.com

05_01_18
DATA MANAGEMENT SOLUTION SPACE
37
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
Innovation

05_01_12
WE ALL KNOW THIS…
38
Digital Transformation
a
Revenues Costs Risk Agility
a
Data
volumes
System
Complexity
Digital TX
Initiatives

05_01_12
WHO IS YOUR CUSTOMER? WHERE’S WALDO?

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
Address: 12001 Buford Hwy
Doraville, GA 30340
Company: Crete Carrier Corp
Company: Crete Carrier Co.
Company: Crete Carrier
Company: Creet Carrier Co
Contact: Deb Varchie
Company: Crete Carrier Co.
Contact:: Deborah Varchie
Company: Crete Carrier
Contact: Deborah Varchy
HOW DOES MASTER DATA MANAGEMENT HELP?
Email: deb@crete.com
DUNS: 12-123-4567
Credit Rating: CCC
Atlanta, GA 30308
Email: deb@crete.com
DUNS: 12-123-4567
ERP
CRM
SCM
BI/DWCRM
ERP SCM
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?
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
“

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
43Strictly Confidential © 2019 Profisee Group, Inc.

05_01_16
Strictly Confidential © 2019 Profisee Group, Inc. 44
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
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

05_01_16
Strictly Confidential © 2019 Profisee Group, Inc. 47
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.

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Data Governance and MDM Workshop Agenda