The DMM model is the chief data officer's best friend, as it helps helps organizations to become more proficient in their management of critical data and to provide a consistent and comparable benchmark for regulatory authorities in their efforts to control operational risk. This deck will provide an introduction to DMM and explain how institutions can benefit from it.

1. © 2017 - Element22, LLC.
STRATEGIC PLANNING FOR DATA MANAGEMENT
Introduction to DMM 𝑆𝑀
(Data Management Maturity Model)
June 2017

2. © 2017 - Element22, LLC.
1. Introduction - DMM 𝑆𝑀
2. Introduction - CMMI Institute
3. Benefits of DMM 𝑆𝑀
4. Element22 is major contributor to DMM 𝑆𝑀
5. Other Resources, Reference Information and Links
Contents
TABLE OF CONTENTS
2

3. © 2016 - Element22, LLC.
𝑫𝑴𝑴 𝑺𝑴
is a formal framework for data management in ANY industry developed by the CMMI Institute
3
 Released by the CMMI
Institute in August, 2014 after
3.5 years of development
 50+ contributing authors, 70+
peer reviewers, 80+ orgs
 Designed to cover all areas of
data management, from
strategy to architecture
 Scoring methodology is
derived from CMM, the
Capability Maturity Model
The Data Maturity Management (𝐷𝑀𝑀 𝑆𝑀
) Model is a process improvement and capability
maturity model for the management of an organization’s data assets and corresponding activities.
1: Performed 2: Managed 3: Defined 4: Measured 5: Optimized
Processes are performed ad
hoc, primarily at the project
level.
Processes are planned and
executed in accordance with
policy.
A set of standard processes
is employed and
consistently followed.
Process metrics have been
defined and are used for
data management.
Process performance is
optimized through applying
Level 4 analysis for target
identification of
improvement opportunities.
Categories (5)
Process Areas (20)
Supporting Areas (5)
Data Management
Strategy
1
Data Governance2
Data Quality3
Data Operations4
Platform &
Architecture
5
Introduction: What is DMM 𝑆𝑀
?
5 Categories:
Scoring Methodology:

4. © 2017 - Element22, LLC.
The DMM 𝑆𝑀
has been designed to cover all areas of data management, from strategy to
architecture
4
• The Data Management Strategy category encompasses process areas designed to focus on
development, strengthening, and enhancement of the overall enterprise data management
program.
Data Management
Strategy
• Encompasses process areas designed to help an organization achieve strong participation
across the organization for critical decisions affecting the data assets.Data Governance
• Defines the process areas designed to provide the means for an organization to fully
understand the nature and quality of the data under management, as well as mechanisms to
evaluate, prevent, and remediate defects, to assure that the quality of data meets business
purposes and the organization’s strategic objectives.
Data Quality
• Encompasses process areas designed to help an organization ensure that data requirements
are fully specified; data are traceable through all of the business processes that produce or
consume it; data changes and their processes are managed; and data sources are selected
based on requirements, well controlled, and verified as authoritative.
Data Operations
• Deals with process areas designed to help an organization design an optimal data layer to
meet present and future business objectives; establish and implement well-crafted,
enforceable standards; select a platform and supporting technologies that meet scope and
performance requirements; integrate disparate sources of data; and manage historical and
aged data effectively.
Platform
Architecture
Introduction: What is DMM 𝑆𝑀
?

5. © 2017 - Element22, LLC.5
The DMM 𝑆𝑀
has been organized into 5 categories with 20 process areas and 5 supporting processes.
Data
Management
Strategy
Data
Management
Strategy
Communications
Data
Management
Function
Business Case
Funding
Data
Governance
Governance
Management
Business
Glossary
Metadata
Management
Data Quality
Data Quality
Strategy
Data Profiling
Data Quality
Assessment
Data Cleansing
Data
Operations
Data
Requirements
Definition
Data Lifecycle
Management
Provider
Management
Platform &
Architecture
Architectural
Approach
Architectural
Standards
Data
Management
Platform
Data Integration
Historical Data,
Archiving and
Retention
Supporting
Processes
Measurement
and Analysis
Process
Management
Process Quality
Assurance
Risk
Management
Configuration
Management
Introduction: What is DMM 𝑆𝑀
?

6. © 2017 - Element22, LLC.
Introduction: CMMI Institute
• The CMMI Institute is the organization behind the Capability Maturity Model Integration (CMMI), the
globally-adopted capability improvement framework that guides organizations in their efforts to
achieve high maturity in their performance.
• The CMMI Institute’s products include:
o Industry leading reference models that provide benchmarks and guidelines for improvement for
Development, Acquisition, Services, People, and Data Management.
o A Training & Certification program as well as a Partner program.
o Dedicated trainings, partner, and certification teams to support organizations and professionals.
• The CMMI Institute is owned by ISACA; ISACA goes by it’s acronym only but it was formerly know as
the Information Systems Audit and Control Association.
o ISACA helps global professionals lead, adapt, and assure trust in an evolving digital world by
offering innovative and world-class knowledge, standards, networking, credentialing and career
development.
o Established in 1969, ISACA is a global nonprofit association of 140,000 professionals in 180
countries.
5
DMM 𝑆𝑀
is defined and managed by the Capability Maturity Model Integration (CMMI)
Institute, a subsidiary of ISACA

7. © 2017 - Element22, LLC.
CMMI Institute manages DMM 𝑆𝑀
with the same methodology developed for the Capability
Maturity Model (CMM)
5
Over 10,000 organizations, in 101 countries and 10 languages, are using CMM
DMM 𝑆𝑀
′s methodology, management and scoring is 100% aligned with CMM
Introduction: CMMI Institute

8. © 2017 - Element22, LLC.
Firms use , a cloud-based platform, to streamline the DMM 𝑆𝑀
−based
assessment and analytics, review progress over time, and benchmark.
Introduction: Pellustro
8
AnalyzeBenchmark
Define Assess1 2
34
pellustro.com

9. © 2017 - Element22, LLC.9
Benefits
TO UNDERSTAND CURRENT
STATE OF DM CAPABILITIES
 Firms use data management assessments based on industry standard models like the DMM 𝑆𝑀
to
clearly understand the current state of data management.
 Firms leverage the project to clearly communicate strengths and priorities to stakeholders
(board members, CEOs, management, employees and regulators).
 Firms leverage the DMM 𝑆𝑀
framework to establish common terminology for discussing data
management within the organization and to help educate non data management professionals
about data management capabilities.
TO HAVE A STRATEGIC PLAN
TO IMPROVE DATA QUALITY
 Firms undertake strategic planning based on 𝑫𝑴𝑴 𝑺𝑴
to quickly build an actionable strategic
plan that is grounded in a holistic understanding of strengths, weaknesses, best practices and
enterprise priorities.
TO KNOW WHICH DM
INVESTMENTS ARE MOST
IMPORTANT
 Firms perform assessments based on DMM 𝑆𝑀
to prioritize investments to improve data
management with greater clarity on which investments will have the greatest impact on
targeted capabilities and business goals and support the business case for funding.
TO BASELINE, MEASURE,
ANALYZE AND REPORT
PROGRESS
 Firms conduct regular assessments based on DMM 𝑆𝑀
so they can monitor and report data
management improvements to stakeholders, data consumers and regulators in a manner that is
consistent and aligned to industry standards.
 Ongoing assessments are also used to objectively measure and demonstrate the impact of data
management practices and programs.
TO BENCHMARK AGAINST
PEERS AND WITHIN THE FIRM
 Firms can utilize assessments based on the DMM 𝑆𝑀
to benchmark specific capabilities,
locations, and organizational units against each other to understand internal leading and lagging
practices.
 As the industry completes more assessments, firms will be able to leverage DMM 𝑆𝑀
assessments
to benchmark capabilities against peer organizations.
ExamplesCommon Reasons
There are several compelling reasons to leverage DMM 𝑆𝑀

10. © 2017 - Element22, LLC.
Experienced leadership
Predrag Dizdarevic Edward Hawthorne Methea Tep Rohit Mathur Thomas Bodenski
• CEO of GoldenSource
• President of Capco
Reference Data Services
• CTO and CIO at Capco
• External partner in
Leading Fintech Private
Equity Fund
• Founder and Lead of
Capco Investment &
Wealth Management
Practice
• Operating Model
Transformation and
Strategy Consulting
Partner at Capco
• EVP of Managed Data
Services and Data Utility
at SmartStream
• COO of Capco Reference
Data Services
• COO of Iverson
• Global Lead of Enterprise
Data Practice at
Headstrong
• Architect of KYC utility
platform
• Owner - Architect for
Genpact’s 'Remediation
as a Service'
• CEO/Founder of Foxeye
(consultancy focused on
trading, asset
management and
treasury)
• Global Head of Front
Office Services at State
Street IFS
Leader of industry initiatives
• Major contributor to the formulation of the CMMI Institute’s Data Management Maturity (DMMSM) Model 1.0 and to the EDM Council’s
next generation data management model – the Data Management Capability Assessment Model (DCAM).
• Leading participant in the design, execution and analysis of financial services industry benchmarks and surveys on data management
capabilities with the EDM Council.
• Leader of Data Quality industry survey, addressing all aspects of data quality from strategy to architecture.
• Leading industry initiative to create a standard approach to quantify and monitor data quality.
• One of the EDM Council’s first DCAM Authorized Partners and creator of the first cloud-based platform for DCAM assessments.
• Organizer and sponsor of industry Chief Data Officer forums and events to promote executive discourse on industry issues and solutions.
Element22 overview
• We are the leading data management technology and advisory firm focused on the financial services industry.
• We empower institutions to achieve more with data by measuring data capabilities and delivering quantifiable improvements.
• We offer an array of specialized products and expert consulting services to help firm’s advance information management.
• We are the leading provider of data management assessments (DMM 𝑆𝑀
and DCAM)
• Our founders and team offer deep domain expertise as recognized industry practitioners and executives.
About Element22
13
Element22 – Unlocking the power of data

11. © 2017 - Element22, LLC.
Further Reading Material about the importance of Data Management, the DMM 𝑆𝑀
Model,
and the CMMI Institute.
11
Reference Information
Reference Information
Qualitative assessments enable just-in-time policy adherence measurement and
early issue detection
http://www.element-22.com/qualitative-assessments-enable-just-in-time-policy-adherence-measurement-and-early-issue-detection/
Embracing Continual Improvement in Enterprise Data Management
http://www.element-22.com/embracing-continual-improvement-in-enterprise-data-management/
About 𝑫𝑴𝑴 𝑺𝑴 Official Web Site of DMM 𝑆𝑀
from the CMMI Institute
http://cmmiinstitute.com/data-management-maturity-resources
About CMMI Institute Official Web Site of the CMMI Institute
http://cmmiinstitute.com/
About ISACA
Official Web Site of ISACA
https://www.isaca.org
About Pellustro Official Web Site of Pellustro
https://pellustro.com/

12. © 2017 - Element22, LLC.
+1 (212) 353 9616
frontdesk@element-22.com
www.element-22.com
www.pellustro.com
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