Data-Ed Online: MDM: Quality is not an Option but a Requirement

Welcome!
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MDM: Quality is Not an Option
but a Requirement

Date: June 12, 2012
Time: 2:00 PM ET
Presenter: Dr. Peter Aiken
Twitter: #dataed

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DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 1
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Meet Your Presenter: Dr. Peter Aiken
• Internationally recognized thought-leader in
the data management field with more than 30
years of experience
• Recipient of the 2010 International Stevens
Award
• Founding Director of Data Blueprint
(http://datablueprint.com)
• Associate Professor of Information Systems
at Virginia Commonwealth University
(http://vcu.edu)

• President of DAMA International (http://dama.org)
• DoD Computer Scientist, Reverse Engineering Program Manager/
Office of the Chief Information Officer
• Visiting Scientist, Software Engineering Institute/Carnegie Mellon
University
• 7 books and dozens of articles
• Experienced w/ 500+ data management practices in 20 countries
#dataed

MDM:
Text

Integration with Quality and
Governance is not an
Option but a Requirement

Dr. Peter Aiken: Reference & Master Data Management Webinar
DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12

Outline
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1. Data Management Overview
2. What is Reference and MDM?
3. Why is Reference and MDM
important?
4. Reference & MDM Building
Blocks
5. Guiding Principles & Best
Practices
6. Take Aways, References & Tweeting now:
#dataed
Q&A

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The DAMA Guide to the Data Management Body of Knowledge

Data Management Functions

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Published by DAMA
International


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Published by DAMA
International
• The professional
association for Data
Managers (40
chapters worldwide)


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Published by DAMA
International
Managers (40
chapters worldwide)
DMBoK organized
around


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Published by DAMA
International
Managers (40
chapters worldwide)
DMBoK organized
around
• Primary data
management
functions focused
around data delivery
to the organization


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Published by DAMA
International
Managers (40
chapters worldwide)
DMBoK organized
around
• Primary data
management
functions focused
around data delivery
to the organization
• Organized around
several
environmental
elements


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Environmental Elements

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Amazon:
http://www.amazon.com/
DAMA-Guide-
Management-Knowledge-
DAMA-DMBOK/dp/
0977140083

Or enter the terms "dama
dm bok" at the Amazon
search engine

Environmental Elements

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What is the CDMP?

#dataed

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What is the CDMP?
• Certified Data Management
Professional

#dataed

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What is the CDMP?
Professional
• DAMA International and ICCP

#dataed

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What is the CDMP?
Professional
• Membership in a distinct group made
up of your fellow professionals

#dataed

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What is the CDMP?
Professional
• Recognition for your specialized
knowledge in a choice of 17 specialty
areas

#dataed

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What is the CDMP?
Professional
areas
• Series of 3 exams

#dataed

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What is the CDMP?
Professional
areas
• For more information, please visit:

#dataed

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What is the CDMP?
Professional
areas
– http://www.dama.org/i4a/pages/
index.cfm?pageid=3399

#dataed

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What is the CDMP?
Professional
areas
– http://www.dama.org/i4a/pages/
index.cfm?pageid=3399
– http://iccp.org/certification/
designations/cdmp
#dataed

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Data Management Basics


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Data Program
Coordination

Organizational
Data Integration

Data Stewardship Data Development

Data Support
Operations


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Manage data coherently.

Data Program
Coordination

Organizational
Data Integration


Data Support
Operations


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Data Program
Coordination
Share data across boundaries.
Organizational
Data Integration


Data Support
Operations


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Data Program
Coordination
Organizational
Data Integration


Assign responsibilities for data.

Data Support
Operations


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Data Program
Coordination
Organizational
Data Integration


Engineer data delivery systems.

Data Support
Operations


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Data Program
Coordination
Organizational
Data Integration


Engineer data delivery systems.

Data Support
Operations

Maintain data availability.


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Outline
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important?
Blocks
Practices
#dataed
Q&A

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Summary: Reference and MDM

from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International

MDM Definition
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MDM Definition
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• Gartner holds that MDM is a
discipline or strategy


MDM Definition
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– "… where the business and the IT organization work
together to ensure the uniformity, accuracy, semantic
persistence, stewardship and accountability of the
enterprise's official, shared master data."


MDM Definition
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– Master data is the enterprise's official, consistent set
of identifiers, extended attributes and hierarchies.


MDM Definition
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– Examples of core entities are:


MDM Definition
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• Parties (e.g., customers, prospects, people, citizens,
employees, vendors, suppliers and trading partners)


MDM Definition
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• Places (e.g., locations, offices, regional alignments and
geographies) and


MDM Definition
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• Places (e.g., locations, offices, regional alignments and
geographies) and
• Things (for example, accounts, assets, policies, products and
services).


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Wikipedia: Golden Version


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• In software development:
– The Golden Master is usually the RTM
(Released to Manufacturing) version, and
therefore the commercial version. It represents
the development stage of "RTM" (Released To
Manufacturing), often referred to as "going
gold", or "gone golden".


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– Often confused with "gold master" which refers
to a physical recording entity such as that sent
to a manufacturing plant.


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– Often confused with "gold master" which refers
to a physical recording entity such as that sent
to a manufacturing plant.
• In data management:
– It is the data value representing the "correct"
answer to the business question

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Reference/Master Data Management
• Definition
– Planning, implementation and control activities to ensure
consistency with a "golden version" of contextual data values.


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Definition: Reference Data Management


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Control over defined domain values (also known as
vocabularies), including:


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• Control over standardized terms, code values and other
unique identifiers;


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unique identifiers;
• Business definitions for each value, business
relationships within and across domain value lists, and
the;


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unique identifiers;
• Business definitions for each value, business
relationships within and across domain value lists, and
the;
• Consistent, shared use of
accurate, timely and
relevant reference data
values to classify and
categorize data.


Definition: Master Data Management
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Control over master data
values to enable
consistent, shared,
contextual use across
systems, of the most
accurate, timely and
relevant version of truth
about essential business
entities.

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Reference Data
• Reference Data:
– Data used to classify or categorize other data, the
value domain
– Order status: new, in progress, closed, cancelled
– Two-letter USPS state code abbreviations (VA)

• Reference Data Sets

US United States
GB (not UK) United Kingdom


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Master Data


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Master Data
• Data about business entities providing context
for transactions but not limited to pre-defined
values


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Master Data
values

• Business rules dictate format and allowable
ranges


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Master Data
values

ranges
– Parties (individuals, organizations, customers,
citizens, patients, vendors, supplies, business
partners, competitors, employees, students)


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Master Data
values

ranges
– Locations, products, financial structures


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Master Data
values

ranges
– Locations, products, financial structures

• From the term Master File

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Reference Data versus Master Data


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• Reference Data:
– Control over defined
domain values
(vocabularies) for
standardized terms,
code values, and
other unique
identifiers
– The fact that we
maintain 9 possible
gender codes


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• Reference Data:
domain values
(vocabularies) for
standardized terms,
code values, and
other unique
identifiers
maintain 9 possible
gender codes
• Master Data:
– Control over master
data values to enable
consistent, shared,
systems
– The "golden" source
of the gender of your
customer "Pat" from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International

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• Reference Data:
domain values
(vocabularies) for
standardized terms,
code values, and
other unique
identifiers
maintain 9 possible
gender codes
• Master Data:
– Control over master
data values to enable
consistent, shared,
systems
Both provide the context
– The "golden" source
of the gender of your for transaction data
customer "Pat" from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International

Outline
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important?
Blocks
Practices
#dataed
Q&A

Reference Data Facts 2012
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Source: http://www.igate.com/22926.aspx

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• Global industry-wide survey
of reference data
professionals
• Results show: Poor quality of
reference data continues to
create major problems for
financial institutions.


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• Global industry-wide survey
of reference data
professionals
• Results show: Poor quality of
reference data continues to
create major problems for
financial institutions.
• Home-grown reference data solutions
predominate, putting institutions at risk for meeting
regulatory constraints
• Risk management is seen as a more important
business driver for improving data quality than
cost

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Reference Data Facts 2012, cont’d


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• Despite recommended practices of centralizing
reference data operations, 31% of the firms
surveyed still manage data locally


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• Despite recommended practices of centralizing
reference data operations, 31% of the firms
surveyed still manage data locally
• New and changing regulatory requirements have
prompted many financial service companies to re-
evaluate their reference data strategies. To prepare
for new regulations,
nearly 62% of survey
respondents are planning
to extend or customize
their reference data
systems during 2012 and
2013.

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Polling Question #1
What percentage of firms still manage data locally?

1. 75%
2. 31%
3. 55%
4. 24%


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Interdependencies

Data Governance

Data Quality Master Data


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Inextricably intertwined

Organized Knowledge 'Data' Knowledge
Management
Practices
Routine Data Scans Data Organization Practices
Metadata(Prac8ces((dashed lines not in existence)
( (

Metadata( Metadata( Metadata(
Engineering( Storage( Delivery(
Sources( ( Uses(
Metadata(Governance(

Data that might benefit from
Suspected/ Master Management
Identified
Master Data Catalogs
Data
Quality Master Data
Management
Problems Data Quality Practices
Engineering

Routine Data Scans
Improved Quality Data
Operational Data


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Interactions
Data
Harvesting

Governance Master
Violations Data
Monitoring Data Monitoring
Quality
Routine Monitoring
Data
Scans Governance
Rules
Monitoring
Monitoring Results:
Master
Monitoring Results: Suspected/ Data
Rules Suspected/ Master
Catalogs
Identified Data &
Data Characteristics
Data Quality
Governance Problems Data
Practices Quality
Rules
Quality Focused
Rules Data Quality Master Data Data
Engineering Management Scans
Routine Practices Practices
Data
Scans

Improved Quality Data

Operational Data

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Multiple Sources of (for example) Customer Data
Finance Application
(3rd GL, batch
Payroll Data system, no source)
(database)
Payroll Application Finance
(3rd GL) Data
(indexed)

Marketing Data Marketing Application
(external database) (4rd GL, query facilities,
no reporting, very large)

Personnel Data
(database)

Personnel App.
(20 years old,
un-normalized data) Mfg. Data
R&D
Data (home grown
(raw) database) Mfg. Applications
(contractor supported)
R& D Applications
(researcher supported, no documentation)

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Reference/Master Data: Tank, Tanks, Tankers, Tanked


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Reference Data Architecture



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Master Data Architecture


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Combined R/M Data Architecture


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"180% Failure Rate" Fred Cohen, Patni

PRODUCED BY http://www.igatepatni.com/bfs/solutions/payments.aspx
CLASSIFICATION DATE SLIDE

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MDM Failure Root-Causes


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• 30% of MDM programs are regarded as failures


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• 30% of MDM programs are regarded as failures
• 70% of SOA projects in complex, heterogeneous environments had
failed to yield the expected business benefits unless MDM is
included


Data-Ed Online: MDM: Quality is not an Option but a Requirement

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