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
We work with business and technology leaders to develop customer-obsessed strategies that drive growth. © 2015 Forrester Research, Inc. Reproduction Prohibited 3
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 Forrester Research, Inc. Reproduction Prohibited
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” Forrester report © 2015 Forrester Research, Inc. Reproduction Prohibited 20
A logical view of information fabric 3. 0 Source: August 8, 2013, “Information Fabric 3. 0” Forrester report © 2015 Forrester Research, Inc. Reproduction Prohibited 21
Building the global information fabric Source: August 8, 2013, “Information Fabric 3. 0” Forrester report © 2015 Forrester Research, Inc. Reproduction Prohibited 22
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 apps › Mobile apps › Vertical-specific › And others. . . © 2015 Forrester Research, Inc. Reproduction Prohibited 27
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
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