1. Look Outside the Firewall to Get
a Complete Picture of Your Data
How Tapping into External Data Sources will take
Your Data Integration Strategy to the Next Generation
Ted Friedman
VP, Information Management, Gartner
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Data Integration For The Extended Enterprise
Ted Friedman
VP, Information Management
@ted_friedman
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2. Innovation-Enabling Information Assets
Often Reside Outside The Firewall
$
Location Predictive Disaster & Electronic Oil Product Supply chain
Real-time
emergency trading price
Vehicle
telematics
Sensor & remote
Other None
monitoring
Emerging "What new type of
markets information will be
Genetic & the most disruptive
health in your industry in
the next five years?" Don't know/
Energy source no reply
& cost
Social
Transparency
Digital media
Consumer Sustainability & Legal and Technology
metrics These respondents
behavior environmental regulatory named a technology, not
a type of information.
Gartner worldwide CEO and
senior business executive
survey, 2012., n = 381
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)
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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)
Limited integration with existing systems 36.5%
Instability in network 34.6%
Longer term in deployment than expected 34.6%
Difficulty of customization More than one-third cite 32.7%
Limited flexibility of customization issues with recent SaaS 31.7%
Lack of vendor support capability deployments 26.9%
Lack of functionality 26.0%
Limited expandability of vendor data… 24.0%
Concern about the future of vendors used 23.1%
Issues with data security 20.2%
Incidents in vendor data centers 18.3% By 2013, at least 20% of
Possibility of higher costs after long usage 15.4%
SaaS will be rolled back to
on-premises apps!
Limited ROI 9.6%
Others 1.9%
0 10 20 30 40
From "Predicts 2012: Software as a Service Prompts Return to On-Premises" (G00227302)
Your Problem Isn't “Data Integration" —
It's "Integrating Everything"
Your integration Cloud Provider 1 Cloud Provider 2 Cloud Provider 3 Cloud Provider 4
challenges include:
• Synchronizing master
data (e.g., customer) E.g., SaaS, E.g., SaaS, E.g., Contact E.g., SaaS
Sales Shared Verification Community
• Complex, multistep Automation VMI App Service Management
business processes Customers Suppliers
• Frequently adding new
applications What do you need
HERE
• Multienterprise
composite applications to be successful
at integration?
• Linking SaaS with on-
premises SOA services
• API governance across Division A Division B
cloud, on-premises apps ESB
(IT
Organization)
• Moving applications from
Apps
on-premises to cloud, (Line of Business)
and back again Headquarters
= Application or SaaS
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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: Potential Inhibitors:
• Organizations using cloud-based • Cloud services spur the need
services fail to focus on data- and enterprise commitment
oriented priorities and bypass for competencies and tools
issues surrounding access, to manage data in the cloud.
latency and reuse of enterprise
data. • Growing criticality for business
ability to leverage data in cloud
• Ungoverned use of information services to support present
management technologies and future information delivery
"as a service" to replace proven and analytics needs.
practices and technologies.
• Massive failures of cloud services
• Cautions for business exposures result in information risks
from high-value data and content and crises.
deployed to the cloud.
Among Data Integration Tools Use-Cases,
Inter-Enterprise Continues To Grow
n=392
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5. Data Integration Hubs: Increasingly
Popular Implementation Style
Mapping
Data Flow Data
Visibility/ Quality
Metadata Assurance
Canonical Data
Forms Persistence
Transformation
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 Structured Data Content Hybrid
Specialized Capabilities
Information
Information Semantic Styles
Capabilities
Framework Manage Metadata
Common Capabilities
Describe Organize Integrate Share Govern Implement
Information Social
Transactional
Data Image Text Mobile
sources Search
Documents IT/OT Audio Video Engine
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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
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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
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herein are subject to change without notice.
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