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Feet on the Ground,
Head in the Cloud
John Parker Senior Director, Enterprise Data Management Oracle
Classic MDM – Focused on Enterprise Data Inside the Firewall With limited integration into external data sources
Website
SaaS Applications
in the Cloud
Today’s MDM – Requires Interaction with External Data
Company
Website
SaaS Applications
in the Cloud
Social Media
Streams
Offline
Customer Data
Big Data Stores Big Data Analytics
Social Collaboration Web
Mobile
Partners
…with the critical new requirement of Big Data
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.
http://www.gartner.com/technology/topics/big-data.jsp
CL
OU
D-B
AS
ED
Online and Cloud-Driven Experiences
Operational Processes
ON
PR
EM
ISE
SmartPhone
Social
In Store Contact Center
Field Service
Direct Sales Channel Sales
MDM Plays a Key Role
Master Data Management
in both on-premise and cloud processes
Consolidated and Distributed Architectures
OLTP systems are moving to bigger hardware, more consolidated, engineered systems (e.g. Oracle Exadata)
While analytical systems are moving toward distributed filesystems (e.g. Hadoop) and distributed processing (e.g. MapReduce).
“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).”
To bridge the gap between these two different architectures,
MDM is a requirement.
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.
Getting It Right Is Critical
Jonathan Bradon BusinessCloud News Roundup: The industry’s top cloud predictions for 2014 January 6, 2014
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
The Problem Isn’t Information Overload
The Problem is Organizational Underload
Copyright © 2013, Oracle and/or its affiliates. All rights reserved. 11
Relational
Streaming of Both
Non-Relational
CAPTURE
Transaction Processing
On-Device Capture
Interaction Processing
MANAGE
Data Warehousing
Caching
Event Processing
Low-Cost Storage
Processing
ANALYZE
Reporting
Dashboarding
Forecasting
Machine-Learning
Predictive Modeling
Discovery
MDM Powers the Unified Information Architecture
MDM Roles in the Unified Architecture
Outbound, Inbound and Execution
Email Correspondence
Social Media
Technical Services and Sales
Real-Time Decisions Machine Learning Algorithms
Potential New Data
MDM
MDM Roles in the Unified Architecture
Outbound, Inbound and Execution
340K Active data points in millions of vehicles
spread across multiple databases Warranty Analysis
Change the Business
Warranty Strategies Run the Business
MDM
MDM Roles in the Unified Architecture
Outbound, Inbound and Execution
BUY
NOW
Relational
Non-Relational
Data Filter Processed Data
MDM Interest Profile
MDM Helps Determine Which Correlations Have Value
And Which are Actionable
MDM Needs to Act as the Integration Nexus
MDM
Important Considerations in MDM Planning
1. What do your use cases dictate for
the data to be “fit for purpose”?
2. How do you plan to – or need to –
integrate on-premise data with cloud
based systems and cloud-based data?
3. What does your target, “to be”
architecture look like?
Oracle Experience
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
Big Data, Big Hardware, Big Solutions
Big Data Appliance
+
Hadoop
Exadata +
Oracle Database
On-Premise Private Cloud Public Cloud Hybrid
Oracle MDM Hubs: Deployment Flexibility