IBM MDM
True Data. True Insight.Composing a Successful MDM StrategyMaster data management (MDM) creates a complete, 360-degree view of the
customer and a trusted single version of the truth. By linking all operations to an
authoritative source of master data, business units have a comprehensive view of
the whole. This enables intelligent decision making while avoiding the inefficiency
and potential for errors associated with redundant entry of information.
83% 93%70%
70% of organizations are dissatisfied with accuracy
of business decisions1
83% of organizations believe incomplete
data effects revenue2
93% of organizations experience some
customer data errors3
IBM is a leader in master data management solutions, helping
organizations improve data-driven operational processes with a flexible
and proven MDM solution. As the MDM landscape has changed, IBM has
maintained its market leadership through a better understanding of client
requirements and the technological innovation of IBM InfoSphere MDM.
Four Essential Requirements
Why is Master Data Necessary?
IBM’s Industry Leading MDM SolutionIBM’s Industry Leading MDM Solution
For more information please visit:
http://www.ibm.com/analytics/us/en/technology/master-data-management/
1 Nathaniel Rowe, “Master Data Management in 2013: Bridging the Gap to Best-In-Class Performance,” Aberdeen Group, April 20132 Experian Data Quality, “Global Data Quality Research, Discussion Paper 2015,” 20153 Ibid4 Larry English, “Information Quality Applied,” Wiley, 2009 5 Steve Mackie, “How Fast is our Data Volume Growing,” 20096 Larry English, “Information Quality Applied,” Wiley, 20097 Experian Data Quality, “Global Data Quality Research, Discussion Paper 2015,” 2015
Generate true insights from
true data
15%–45%of operational expenses are wasted due to data quality
issues4
Accuracy in search and match
Reduce risk of errors
Single view of trusted data
Reveal hidden relationships and patterns
Deep 360-degree view of customer
Gained sales opportunities
1
Up to 50%of IT budgets go to data scrap and reworking6
Pre-built Services and Data Models
Unify disparate sources of data
Extensibility
Accelerate implementation
Rapid MDM integration with an increasing number of data repositories
Enable wider use of big data and analytics for speed and
innovation
3
50% ofcompanies say
main drivers for high
quality data: cost savings
andcapitalizing on
opportunity7
Deployment Flexibility
Support strategic initiatives
Move across implementation styles with a single solution
Accelerate implementation time
Increase time to value
Evolve your business over
time
4
Businesses report
data growth between
60%–120%per year5
Performance and Scalability
Real-time delivery of insights
Scalability over time
Less downtime
Improved user experience
Lower IT costs and expansion efforts
2Leverage
big data and analytics more fully
and reliably
