The document discusses the importance of aligning master data management, master data governance, and business process management for effective enterprise information management and decision making. It states that bad data costs businesses 10-20% of annual revenue. The document provides a framework for assessing the maturity of these initiatives and advancing them in a synchronized manner from the initial configuration stage through facilitating, delivering, evaluating, and changing stages. It identifies key factors for evaluating solutions for master data management, governance, and business process management.

1. Enterprise Information Flow & Data
Management
MDM Stewardship, governance and alignment to Business
Processes
Kaye Homam
Dec 2015

2. Executive Summary
The quality of any decisions at any levels within an enterprise is directly
related to the quality and availability of the data within the enterprise.
According to recent studies by leading data governance and management
agencies, bad data cost businesses anywhere between 10% to 20% of yearly
revenue. For enterprises to gain competitive advantage in their industry, it is
critical to align their master data management solutions to business process
management solutions to enable agile, timely and effective decision
making.

3. Enterprise Data and Information Management
Any given business process in an enterprise either creates, changes, uses,
enhances or releases data
Most organizations, however, treat business process management, master data
management and master data governance as separate initiatives
To maximize value creation from data within an organization, it is critical to align
these processes
The synergistic outcome enables consistent and governed single version of the
“truth” for accurate and timely decision making

4. Enterprise information management strategy
maturity level check
Business
process
management
Configured
Yes/No
Facilitated
Yes/No
Delivered
Yes/No
Evaluated
Yes/No
Enhanced
Yes/No
Master Data
Management
Configured
Yes/No
Facilitated
Yes/No
Delivered
Yes/No
Evaluated
Yes/No
Enhanced
Yes/No
Master Data
Governance
Configured
Yes/No
Facilitated
Yes/No
Delivered
Yes/No
Evaluated
Yes/No
Enhanced
Yes/No

5. Choosing your starting point based on current
maturity stage
The identification of the current state within each process helps identify
the starting point
The starting point for any given process may be different and should not be
a cause for concern
For any given process, the starting point stakeholder alignment needs to
be in place to prior to proceeding to next step

6. Configuring
Agree on the
planning process
Carry out “as is”
health check
Identify key issues to
address
Define
organization’s ideal
state (shared vision)
Publish the shared
vision with all
stakeholders

7. Facilitating
Evaluate resource
needs
Identify key resources
Develop
implementation road
map (project plan)
Facilitate resource
skills development (if
needed)
Project kick-off

8. Delivering (multi-level approach)
First phase solution
(addresses urgent
issues)
Second phase solution
(addresses critical
business needs)
Third phase solution
(addresses important
but not critical needs)
Fourth phase solution
(addresses long term
strategic program)
Fifth phase solution
(data as competitive
advantage)

9. Evaluating (strategy and delivery effectiveness)
Compliance
to strategy
Training
effectiveness
Resource
effectiveness
Solution
effectiveness
Value creation
effectiveness

10. Changing
The changing stage is applicable if the any part
of the solution is deemed ineffective or no
longer relevant to the business needs. A
formalized change stage allows agility and
open mindedness in any strategic process.

11. Master Data Management
Key Critical Factors to evaluate
1. Is a technical solution in place
2. Does the technical solution fit well within the current enterprise architecture and
enterprise application management system
3. Is the solution design, process, in-puts and out-puts, upstream and downstream systems
documented
4. Is it inefficient (allows mass creation, and maintenance of MD)
5. Does it meet the current business need
6. Is it easy to adapt if a new business need is identified
7. Is the solution simple to navigate, are the current resources trained and able to navigate
the system with ease
8. Is there a business continuity plan in place (in cases of outages)

12. Master Data Governance
Key Critical Factors to evaluate
1. Is there organization awareness and business buy for data governance
2. Is there a formal governance charter and strategy in place
3. Has the current situation been investigated or evaluated (health check)
4. Has a value of the data been calculated
5. Are there outages and risks that have been identified that needs to be addressed
urgently
6. Are there established KPIs in place
7. Are there controls in place
8. How effective are the current controls

13. Business Process Management
Key Critical Factors to evaluate
1. Is a formal business process management in place
2. Does the process allow for lift and adapt across functions
3. Does the process allow agility and adaptability to new business needs
4. Does the process include risk and mitigation plans
5. Does the process limit creation of data and information to authorized personnel
6. Does the process follow a standard approach of data creation, validation and auditing
prior to publication to “source of truth” & peripheral systems
7. Does the process integrate naturally with MDM solution
8. Does the process enable minimum lag time between data creation and usage