1. Feet on the Ground, Head in the Cloud Presentation for the Gartner Master Data Management Summit, April 4, 2014
John Parker

2. Classic MDM – Focused on Enterprise Data Inside the Firewall
With limited integration into external data sources
Website
SaaS Applications
in the Cloud

3. Today’s MDM – Requires Interaction with External Data
…with the critical new requirement of Big Data
Offline Customer Data
Web
Social Collaboration
Social Media
Streams
Big Data Stores
Big Data Analytics
Mobile
Company Website
Partners
SaaS Applications
in the Cloud

4. Data is Outgrowing Technology – for now
Gartner says:
Through 2015, 85% of Fortune 500 organizations will be unable to exploit big data for competitive advantage.

5. MDM Plays a Key Role in both on-premise and cloud processes
In Store
Contact Center
Social
Field Service
SmartPhone
Direct Sales
Channel Sales
CLOUD-BASED
ON PREMISE
Online and Cloud-Driven Experiences
Operational Processes
Master Data Management

6. Consolidated and Distributed Architectures
OLTP systems are moving to bigger hardware, more consolidated, engineered systems (e.g. Oracle Exadata)
“Exadata Storage Servers provide up to 75 GB per second of raw I/O bandwidth and up to 1,500,000 database I/O operations per second (IOPS).”
While analytical systems are moving toward distributed filesystems (e.g. Hadoop) and distributed processing (e.g. MapReduce).

7. To bridge the gap between these two different architectures,
MDM is a requirement.

8. Getting It Right Is Critical
With public cloud spending set to surpass $100bn this year … much of what happens next in the cloud sector will depend on the deepening integration of mobile, cloud, big data and traditional IT technologies.
Jonathan Bradon
BusinessCloud News
Roundup: The industry’s top cloud predictions for 2014
January 6, 2014

9. What does “fit for purpose” mean?
Defined by business use cases which set thresholds for:
Timeliness
Consistency
Accuracy
Availability
Confidentiality
Validity
Completeness
…and other use-case-specific parameters

10. The Problem Isn’t Information Overload
The Problem is Organizational Underload

11. MDM Powers the Unified Information Architecture
CAPTURE
MANAGE
ANALYZE
Reporting Dashboarding Forecasting
Relational
Transaction Processing
Data Warehousing
Streaming of Both
Caching
Event Processing
Machine-Learning Predictive Modeling
On-Device Capture
Low-Cost Storage
Processing
Non-Relational
Interaction Processing
Discovery

12. MDM Roles in the Unified Architecture
Outbound, Inbound and Execution
Real-Time Decisions
Machine Learning Algorithms
Potential New Data
MDM
Technical Services and Sales
Correspondence
Social Media

13. MDM Roles in the Unified Architecture
Outbound, Inbound and Execution
Warranty Strategies Run the Business
MDM
340K
Warranty Analysis Change the Business
Active data points in millions of vehicles spread across multiple databases

14. MDM Roles in the Unified Architecture
Outbound, Inbound and Execution
Relational
BUY NOW
Data Filter
Processed Data
MDM
Interest Profile
Non-Relational

15. MDM Helps Determine Which Correlations Have Value
And Which are Actionable

16. MDM Needs to Act as the Integration Nexus

17. Important Considerations in MDM Planning
What do your use cases dictate for the data to be “fit for purpose”?
How do you plan to – or need to – integrate on-premise data with cloud based systems and cloud-based data?
What does your target, “to be” architecture look like?

18. Oracle MDM Hubs: Deployment Flexibility
On-Premise
Private Cloud
Public Cloud
Hybrid

19. Exadata + Oracle Database Big Data Appliance + Hadoop
Oracle Experience
Big Data, Big Hardware, Big Solutions
2014
BlueKai
Corente
2013
BigMachines
Nimbula
Compendium
2012
Eloqua
Involver
DataRaker
Collective Intellect
Instantis
Vitrue
SelectMinds
ClearTrial
Xsigo Systems
Taleo
2011
RightNow Technologies
InQuira
Endeca
FatWire Software
GoAhead Software
Datanomic
2010
Art Technology Group
Silver Creek Systems
Market2Lead
Exadata + Oracle Database
Big Data Appliance + Hadoop