Claim the power of accurate data. Sally works for your organisation. She recently got married and changed her name and address. How many systems do you need to update? What happens if you don't get them all changed? In a world that is becoming increasingly distributed and interdependent, a world where we are communicating more often and using more systems, the importance of having your data correct has never been higher. Learn how to identify your core data items and overcome the challenges of keeping them correct. Determine how to identify high risk areas, prioritise them, and implement a methodology that will allow you to reap the rewards of keeping those items accurate. Whether it is an employee, a customer, a contract or something else, making sure your systems accurately reflect the changes improves operational efficiency, customer satisfaction, reduces the risk of legal liability and increases the ease of regulatory compliance. Join us to learn how claim the power you can have through accurate data and be the master of your domain.

1. The Master of Your Domain
Claim the Power of Accurate Data
March 2013
Mark Worthen
BI Senior Consultant

2. Our Agenda
The State of Data Quality
Introduction to Master Data Management
Benefits of Master Data Management
Getting Started
Considerations for Success
Questions

3. Data Trust – Do you have it?
■ In a recent survey* 94% of businesses said there was data
inaccuracy in their systems – problems such as:
■ Incomplete or Missing Data
■ Outdated Information
■ Duplicate Information
■ In another survey** about trust in organisational data:
■ 68% said poor data impacts their organisation
■ 38% don’t trust the data for making strategic and
operational decisions
* Experian QAS - 2013
** Ventana Research - 2009
BI Think Event – Data Quality and MDM – March 2013

4. Data Quality – 2006 Survey*
8% 2%
Perfect
Pretty Good, But a
Few Problems
Some Data Sources a
38% Complete Mess
52%
Serious Problems
* Results from Scott Ambler’s September 2006 Data Quality
Survey posted at www.agilemodeling.com/surveys/
BI Think Event – Data Quality and MDM – March 2013

5. Data Quality – 2009 Survey*
* The Information Difference Company Ltd. 2009
BI Think Event – Data Quality and MDM – March 2013

6. Data Quality Costs – 2009 Survey*
* The Information Difference Company Ltd. 2009
BI Think Event – Data Quality and MDM – March 2013

7. Data Quality Program Barriers – 2009 Survey*
* The Information Difference Company Ltd. 2009
BI Think Event – Data Quality and MDM – March 2013

8. Finding the Gold
BI Think Event – Data Quality and MDM – March 2013

9. Finding the Gold
True Gold!
BI Think Event – Data Quality and MDM – March 2013

10. Balancing Data Quality
■ High Impact
■ People, Places, Things
■ Consistency, Accuracy,
Completeness
■ Lower Impact
■ Attributes of High Impact
Items
■ Ease-of-Use
BI Think Event – Data Quality and MDM – March 2013

11. The Scope of Accuracy
Joe Sally
Jones Smith
BI Think Event – Data Quality and MDM – March 2013

12. The Scope of Accuracy
Joe & Sally
Joe
Jones Smith
Jones
BI Think Event – Data Quality and MDM – March 2013

13. The Scope of Accuracy
HR
Store
Payroll
Security
Joe & Sally Active
Directory MDM ERP
Jones
Phone List CRM
Loyalty
BI Think Event – Data Quality and MDM – March 2013

14. The Scope of Accuracy
HR
Store
Payroll
Security
Joe & Sally Active
Directory MDM ERP
Jones
Phone List CRM
Loyalty
BI Think Event – Data Quality and MDM – March 2013

15. The Scope of Accuracy
HR
Store
Payroll
Security
Joe & Sally Active
Directory MDM ERP
Jones
Phone List CRM
Loyalty
BI Think Event – Data Quality and MDM – March 2013

16. BI Think Event – Data Quality and MDM – March 2013

17. BI Think Event – Data Quality and MDM – March 2013

18. Business Benefits of MDM
■ Remove Data Redundancy and Inconsistency
■ Improve Operational Efficiency
■ Improve Insight and Confident Decision Making
■ Improve Compliance
■ Reduce Process Errors
■ Better Support Business Change
■ Decouple Enterprise System Dependencies
BI Think Event – Data Quality and MDM – March 2013

19. Getting Buy-In to MDM
■ Question: How will MDM help provide better results?
■ Understand the approximate cost-benefit ratio
■ Document poor data quality “costs”
■ Inaccurate reporting & analysis
■ Time required to gather information
■ Inability to provide timely, accurate customer service
■ These items will help with Barriers to starting program
BI Think Event – Data Quality and MDM – March 2013

20. Data Quality Program Barriers – 2009 Survey*
* The Information Difference Company Ltd. 2009
BI Think Event – Data Quality and MDM – March 2013

21. Selecting an Initial Project
■ Three approaches:
■ Choose the area with the most poor-data ‘pain’ (big win)
■ Select an area that is relatively easy to solve (quick win)
■ Use a Project Selection Scorecard (objective selection)
■ Alignment to Business Strategy & Goals
■ Clarity of Processes
■ Clarity of Success Factors
■ Ease of Project Execution (do you have a willing partner?)
■ Projects with higher scores are either more valuable to the
organisation or have less risk of failure
BI Think Event – Data Quality and MDM – March 2013

22. MDM Success Barriers
BI Think Event – Data Quality and MDM – March 2013

23. Getting Started – Basic Steps
■Determine ALL data sources and destinations
■Perform a Data Quality Assessment – Knowledge is Power
■ Hard Aspects (Completeness, Accuracy, Consistency)
■ Soft Aspects (Trust, Ease-of-Use)
■ Determine “Master” data items
■Determine Poor Quality Root Causes
■Appoint Data Stewards
■Create and Implement an Improvement Plan
BI Think Event – Data Quality and MDM – March 2013

24. Considerations for Successful MDM
■Implement a Data Governance Board
■Set Realistic Objectives
■Limit Project Scope – don’t try to do everything at once
■Get Commitment early from Stakeholders
■Set Clear Responsibilities
■Use a Process focused approach
■ Bad data is not random – often can be addressed through process
change
■Use Change Management
BI Think Event – Data Quality and MDM – March 2013

25. Summary
■One person said that “MDM is the new bookkeeping”
■He could learn more about how an organisation was
managed from looking at the state of their data than by
looking at the state of their financials
■Successful MDM requires the entire business – not just IT
■High Data Quality improves business function which can
lead to greater efficiency, reduced costs and increased
revenue
■Don’t be a prisoner to the effects of poor data quality; be
the Master of your Domain and claim the power and
benefits of good data quality
BI Think Event – Data Quality and MDM – March 2013

26. Are there any
questions?

27. Thank you
mark.worthen@intergen.co.nz