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Look Outside the Firewall to Get
a Complete Picture of Your Data
Ted Friedman VP, Information Management, Gartner
How Tapping into External Data Sources will take
Your Data Integration Strategy to the Next Generation
Data Integration For The Extended Enterprise
Ted Friedman
VP, Information Management
@ted_friedman
2
Innovation-Enabling Information Assets
Often Reside Outside The Firewall
Gartner worldwide CEO and
senior business executive survey, 2012., n = 381
Technology Legal and regulatory
Sustainability & environmental
Consumer behavior
Digital media metrics
Transparency
Social
Energy source & cost
Genetic & health
Emerging markets
Sensor & remote monitoring
Vehicle telematics
Location Predictive Real-time Disaster & emergency
Electronic trading
Oil
price Product Supply chain
Other None
Don't know/ no reply
"What new type of
information will be
the most disruptive
in your industry in
the next five years?"
These respondents
named a technology, not
a type of information.
$
Integration Projects Complexity and
Scope
“By 2016, 50% of new integration projects will involve on-premises applications, e-commerce
trading partners and cloud services.” (Gartner, Predicts 2012: Application Integration Will Increase in Scope and Complexity,
Nov. 2012)
3
And SaaS Adoption Also Forces Extending
of Integration Infrastructure
Survey Question: Which of the following issues did your organization experience
during its most recent SaaS deployment? (N = 104)
36.5%
34.6%
34.6%
32.7%
31.7%
26.9%
26.0%
24.0%
23.1%
20.2%
18.3%
15.4%
9.6%
1.9%
0 10 20 30 40
Limited integration with existing systems
Instability in network
Longer term in deployment than expected
Difficulty of customization
Limited flexibility of customization
Lack of vendor support capability
Lack of functionality
Limited expandability of vendor data …
Concern about the future of vendors used
Issues with data security
Incidents in vendor data centers
Possibility of higher costs after long usage
Limited ROI
Others
More than one-third cite
issues with recent SaaS
deployments
By 2013, at least 20% of
SaaS will be rolled back to
on-premises apps!
From "Predicts 2012: Software as a Service Prompts Return to On-Premises" (G00227302)
Your Problem Isn't “Data Integration" —
It's "Integrating Everything"
Headquarters
Apps
(Line of Business)
ESB
(IT Organization)
Division A Division B
Cloud Provider 1 Cloud Provider 2 Cloud Provider 3
Customers Suppliers
What do you need
HERE
to be successful
at integration?
E.g., SaaS,
Sales Automation
E.g., SaaS,
Shared VMI App
E.g., Contact
Verification Service
Cloud Provider 4
E.g., SaaS
Community Management
• Synchronizing master data (e.g., customer)
• Complex, multistep business processes
• Frequently adding new applications
• Multienterprise composite applications
• Linking SaaS with on-premises SOA services
• API governance across cloud, on-premises apps
• Moving applications from on-premises to cloud, and back again
= Application or SaaS
Your integration
challenges include:
4
Challenges of Data In The Cloud
Through 2016, only 30% of enterprises will include data
governance and integration among top criteria before putting
their data in the cloud.
What Makes This Happen:
• Organizations using cloud-based services fail to focus on data-oriented priorities and bypass issues surrounding access, latency and reuse of enterprise data.
• Ungoverned use of information management technologies "as a service" to replace proven practices and technologies.
• Cautions for business exposures from high-value data and content deployed to the cloud.
Potential Inhibitors:
• Cloud services spur the need and enterprise commitment for competencies and tools to manage data in the cloud.
• Growing criticality for business ability to leverage data in cloud services to support present and future information delivery and analytics needs.
• Massive failures of cloud services result in information risks and crises.
Among Data Integration Tools Use-Cases,
Inter-Enterprise Continues To Grow
n=392
5
Data
Persistence
Data
Quality
Assurance
Canonical
Forms
Mapping
Transformation
Data Flow
Visibility/
Metadata
Data Integration Hubs: Increasingly
Popular Implementation Style
Goal: agile delivery and sharing of data across
applications & DBs, both internal and external
Data Integration Is Critical To The Infrastructure
of The Contemporary Extended Enterprise
Information
consumption
use cases
Information
sources
Information Semantic Styles
Specialized Capabilities
Information
Capabilities
Framework Manage Metadata
Text Image Mobile Transactional
Data Social
Audio Video IT/OT Search Engine Documents
Describe Organize Integrate Share Govern Implement
Common Capabilities
Structured Data Content Hybrid
6
Data Integration For The Extended Enterprise
Ted Friedman
VP, Information Management
@ted_friedman
Questions
Ted Friedman
VP, Information Management, Gartner
Ronen Schwartz
VP, Products, B2B, Informatica
7
Thank you for joining us!
To learn more, please visit:
www.informatica.com/B2B
Program Note
This webcast is sponsored by Informatica. Any editorial supplied by Informatica is
independent of Gartner analysis. All Gartner research is © 2013 by Gartner, Inc. and/or
its Affiliates. All rights reserved.
All Gartner materials are used by Informatica with Gartner’s permission and in no way
does the use or publication of Gartner research indicate Gartner’s endorsement of
Informatica products and/or strategies. Any other reproduction of this webcast in any
form without prior written permission is forbidden. The information contained herein has
been obtained from sources believed to be reliable.
Gartner disclaims all warranties as to the accuracy, completeness or adequacy of such
information. Gartner shall have no liability for errors, omissions or inadequacies in the
information contained herein or for interpretations thereof. The opinions expressed
herein are subject to change without notice.