WEBINAR Enterprise Data Virtualization The NextGeneration Data Integration

WEBINAR Enterprise Data Virtualization: The Next-Generation Data Integration Technology Noel Yuhanna, Principal Analyst March 26, 2015. Call in at 12: 55 p. m. Eastern time

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Agenda › Changing business needs requires a new data architecture. › What is data virtualization? How can it help? › New use cases › The Forrester Wave™: Enterprise Data Virtualization, Q 1 2015 › Recommendations © 2015 Forrester Research, Inc. Reproduction Prohibited 4

Traditional data integration approaches are falling short when it comes to meeting new business requirements!

Email News Banking Social network e. Commerce Flight booking Stock market SMS/text It’s all about the data. . .

Data is the new. . . It is now critical for business success.

Data volume has grown — but it’s actually not about volume, variety, nor velocity — it’s about making sense of it.

Finding hidden patterns that are meaningful to your business, delivering new insights and possibilities

22% Today, only a small portion of available data is used. Currently utilized data All data Available data

78% What if we can flip the iceberg and tackle the problem? Currently utilized data All data Available data

Data is spread across data centers — often in various repositories and formats.

What businesses need is connected and integrated data to make better and faster decisions.

The age of the customer is driving the need for integrated data © 2015

Loyalty How can you prevent members from churning? Look for patterns. . .

Recommend How can you provide a perfect and individualized product recommendation? Integrated data from multiple sources Source: www. netflix. com

Data requirements have changed › More data. . . even more than we can handle › Tougher compliance requirements › Security concerns › Demand for real time › Growth of external sources › Need for trusted data © 2015 Forrester Research, Inc. Reproduction Prohibited 17

Agenda › Changing business needs requires a new data architecture. › What is data virtualization? How can it help? › New uses cases › The Forrester Wave™: Enterprise Data Virtualization, Q 1 2015 › Recommendation © 2015 Forrester Research, Inc. Reproduction Prohibited 18

What is data virtualization? Forrester’s definition: An integration platform that orchestrates data in real time or near real time from disparate data sources, whether onpremises or cloud, into coherent self-service data services to support various use cases and workloads including extreme transactions, analytics, and predictive analytics © 2015 Forrester Research, Inc. Reproduction Prohibited 19

Information fabric 3. 0 reference architecture Source: August 8, 2013, “Information Fabric 3. 0”

A logical view of information fabric 3. 0 Source: August 8, 2013, “Information Fabric

Building the global information fabric Source: August 8, 2013, “Information Fabric 3. 0” Forrester

How is data virtualization different from traditional data integration approaches? 1. Delivers real-time data platform 2. Supports both analytics and transactions 3. Integrations with external sources, including cloud 4. Integrates with all types of data, including unstructured 5. Supports distributed in-memory data fabric © 2015 Forrester Research, Inc. Reproduction Prohibited 23

How is data virtualization different from traditional data integration approaches? 6. Supports a canonical model to govern information delivery 7. Delivers data governance — lineage and access control 8. Integrates with big data, e. g. , Hadoop, No. SQL 9. Delivers dynamic profiling, transformation, and quality 10. Uses standard and common protocols © 2015 Forrester Research, Inc. Reproduction Prohibited 24

Agenda › Changing business needs requires a new data architecture › What is data virtualization? How does it help? › New use cases › The Forrester Wave™: Enterprise Data Virtualization, Q 1 2015 › Recommendations © 2015 Forrester Research, Inc. Reproduction Prohibited 25

Data virtualization offers many use cases › Customer personalization — 360 -degree view › Fraud detection › Reference data › Recommendation engines › Real-time analytics © 2015 Forrester Research, Inc. Reproduction Prohibited 26

Data virtualization offers many use cases (cont. ) › Actionable insights › Big data

Top data virtualization vendor landscape © 2015 Forrester Research, Inc. Reproduction Prohibited 28

Agenda › Changing business needs requires new data architecture. › What is data virtualization? How can it help? › The Forrester Wave™: Enterprise Data Virtualization, Q 1 2015 › Recommendation © 2015 Forrester Research, Inc. Reproduction Prohibited 29

Data virtualization systems integrators › Accenture › IBM Global Services › Bearing. Point › Infosys › Computer Sciences Corp (CSC) › TSC › HCL Technologies © 2015 Forrester Research, Inc. Reproduction Prohibited › Tech Mahindra › Wipro 30

The Forrester Wave™: Enterprise Data Virtualization, Q 1 2015 Source: March 11, 2015, “The Forrester Wave™: Enterprise Data Virtualization, Q 1 2015” Forrester report © 2015 Forrester Research, Inc. Reproduction Prohibited 31

The Forrester Wave™: Enterprise Data Virtualization, Q 1 2015 Source: March 11, 2015, “The Forrester Wave™: Enterprise Data Virtualization, Q 1 2015” Forrester report © 2015 Forrester Research, Inc. Reproduction Prohibited 32

Agenda › Changing business needs requires new data architecture. › What is data virtualization? How can it help? › The Forrester Wave™: Enterprise Data Virtualization, Q 1 2015 › Recommendations © 2015 Forrester Research, Inc. Reproduction Prohibited 33

Recommendations › Data virtualization has many broad use cases — more than simple BI. › Start with a few data source — mostly structured. › Focus on in-memory data layer along with data virtualization. © 2015 Forrester Research, Inc. Reproduction Prohibited 34

Recommendations (cont. ) › Be sure the solution complements your current ETL platform. › Use Hadoop with data virtualization for very large data volume. › Data virtualization is the next generation of data integration — it delivers a competitive edge and drives innovation and new opportunities. © 2015 Forrester Research, Inc. Reproduction Prohibited 35

Thank you Noel Yuhanna +1 650. 581. 3807 nyuhanna@forrester. com Twitter: @nyuhanna forrester. com