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1 0 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

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Page 1: Look outside firewall_for_complete_picture_of_data_wbr_slides_15_jan2013

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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

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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)

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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:

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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

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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

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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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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.