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