DMM Case Study: Ally

January 27, 2015

2

Presenters

Melanie Mecca

Program Director, DMM Products & Services

• Development lead and primary author, Data

Management Maturity Model

• Led creation of DMM certification courses

and Assessment method

• 30+ years DM solutions, strategy, program

implementation

• Certified EDM Expert

Leslie Burgess

Senior Manager, Enterprise Data Governance

• Responsible for overseeing Ally Critical

Element engagements across enterprise

• Support development of Data Management

practices into Line of Business procedures

• Led establishment of Basel II Data Control

Framework

• 20+ years IT Project Management,

Strategic Planning and BP Reengineering

3

CMMI – Worldwide Process Improvement

CMMI Quick Stats:

• Over 10,000

organizations

• 94 Countries

• 12 National

governments

• 10 languages

• 500 Partners

• 1600+

Appraisals in

2014

4

Data Management Maturity (DMM)SM Model

The DMM was released on

August 7, 2014

• 3.5 years in development

• 4 sponsoring organizations

• 50+ contributing authors

• 70+ peer reviewers

• 80+ organizations involved

• 300+ practice statements

• 500+ functional work products

5

DMM Drivers

• Effective data management programs require a planned strategic effort • Data is the infrastructure foundation of the n-tier architecture• Integrate multi-discipline, multi-business line efforts• Inculcate a shared vision and understanding

• Not a Project, and more than a Program – a lifestyle.

• Organizations needed a comprehensive reference model to evaluate capabilities and measure improvements – benchmark and guidance

• DMM targeted to unify understanding and priorities of lines of business, IT, and data management. Aimed at the biggest challenges:• Achieving an organization-wide perspective • Alignment of IT/DM with the business• Clear communications with the business

• Sustaining a multi-year effort with energy and impact.

6

Foundation for advanced solutions

You can accomplish Advanced Data

Solutions without proficiency in

Basic Data Management Practices,

but solutions will:

• Take longer

• Cost more

• Not be extensible

• Deliver less

• Present

greater

risk

6Copyright 2013 by Data Blueprint

Fundamental Data Management Practices

Advanced

Data

Solutions

• MDM

• Analytics

• Big Data

• IOT

• Warehousing

• SOA

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Data Management Function

Data Management StrategyData Governance

Data Quality Program

Data Integration

Metadata Management

7

DMM Themes

• Architecture and technology neutral – applicable to legacy, DW, SOA, unstructured data environments, mainframe-to-Hadoop, etc.

• Industry independent – usable by every organization with data assets, applicable to every industry

• Emphasis on current state – organization is assessed on the implemented data layer and existing DM processes

• Launch collaborative and sustained process improvement – for the life of the DM program [aka, forever].

If you manage data, the DMM can benefit you

8

DMM Structure

9

DMM Capability Levels

Performed

Managed

Defined

Measured

Optimized

Level

1

Level

2

Level

3

Level

4

Level

5

Risk

Quality

Ad hoc

Reuse

10

DMM Assessment Summary

Sample Organization

11

2015 – Building the DMM Ecosystem

Results / Assets

Partner Program / Outreach

Certifications

Product Suite

DMM

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DMM Ecosystem - Product Suite

Results / Assets

Partner Program / Outreach

Certifications

Product Suite

DMM

• DMM Introduction – learn about DMM concepts

• DMM Intro eLearning – self-paced study

• DMM Advanced Concepts –learn how to interpret the DMM

• Enterprise Data Management Expert – learn to assess organizations with the DMM and implement programs

• DMM Lead Appraiser – learn to benchmark organizations against the DMM

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DMM Ecosystem - Certifications

Results / Assets

Partner Program / Outreach

Certifications

Product Suite

DMM

Certifications:Credentials and Credibility

• Enterprise Data Management Expert (EDME) – Assessing and Launching the DM Journey

• DMM Lead Appraiser (DMM LA) – Benchmarking and Monitoring Improvements

14

DMM Ecosystem – Partner Program

Results Reporting

Partner Program / Outreach

Certifications

Product Suite

DMM

15

DMM Ecosystem – Results and Assets

Results / Assets

Partner Program / Outreach

Certifications

Product Suite

DMM

Results

• Benchmarking• Web publication of approved

appraisals• Case studies• Best Practice Examples

DMM Assets

• White Papers• Seminars• Profiles• Academic Courses

16

When Should I Employ the DMM?

• Use Cases - assess current capabilities before:• Developing (or enhancing) your DM program / strategy

• Embarking on a major architecture transformation

• Establishing data governance

• An expansion of analytics – e.g. ambitious new program

• Implementing a data quality program

• Implementing a metadata repository

• Designing and implementing multi-LOB solutions:• Master Data Management

• Shared Data Services

• Enterprise Data Warehouse

• Conversion to an ERP

• Other major efforts, etc. Like an Energy audit!

17

Events – Feb through Jun 2015

• Series of white papers - DataVersity

• DMM Intro – Mar 25-27 DC – before DAMA EDW conference

• eLearning DMM Intro - Apr

• EDME – Apr 13-17 DC

• Enterprise Data World Mar 30 – Apr 2

• DMM Seminar with Peter Aiken

• DMM Case Studies – Freddie Mac and FRS Statistics

• DGIQ – Jun 8-11 – Data Quality with the DMM

• DMM Intro – May 13-15 Seattle – with CMMI Global

• DMM Intro – Jun 6-8 Dublin

• DMM Advanced – May / Jun

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The DMM Helps an Organization!

Gradated path -step-by-step

improvements

Unambiguous practice

statements for clear

understanding

Functional work products to aid implementation

Common language

Shared understanding of

progress

Acceleration