"Information from the past won't support the insights of the future - businesses need real-time data," said Forrester Analyst Noel Yuhanna. In this presentation, he explains the challenges of latent data faced by business users, the need to accelerate fast data strategy using data virtualization, and the implications of such strategy. This presentation is part of the Fast Data Strategy Conference, and you can watch the video here goo.gl/a2xNyZ.

1. Accelerating Fast Data Strategy
With Data Virtualization
Noel Yuhanna, Principal Analyst

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Data bottlenecks are creating
business bottlenecks that’s
impacting growth and innovation!

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Currency
Oil
Bacon
Digital business is all about the data…
But what if your data is slow that’s not being
utilized for analytics or is not being used in a
timely manner?
Data is the new…

4. Challenge
Today business users think of analytics as a set
of boring reports and dashboards … they don’t
want yesterdays data tomorrow!

5. of enterprise data
in used for analytics….
12%Only
Source: Forrester’s “The Forrester Wave: Big Data Hadoop Solutions”, report
Reality

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Top data challenges seen across industries are
slowing growth and revenue
› It takes longer to measure business performance
because of aging data architectures
› It takes longer to provide insights for operational
decision making because of lack of self-service
› It takes longer to get intelligence into business
processes because data is in silos
› It takes longer to make decisions because of complexity
in systems and processes.

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Real-time has been evolving over the years but
has been challenging to deploy..
Stock market Ticketing
Fraud DetectioneCommerceBanking

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Businesses want real-time access to data. What’s
are the drivers?
› Mobile devices – we need data now!
› Competitive pressure – to act more quickly
› Pressure from businesses (LOB) - to support real-time
› New insights, advanced analytics – real-time BI
› Global business – that needs global real-time access
› IOT Applications – sensors, devices . .and lower cost.

9. We are moving from IT to Business Technology
(BT)..
MIS
IT
BT
Self-service Real-time
Automation
Limited
data
Digital
business
Trends
Lots of
data
Batch

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TREND – The need for Fast Data
Real-time
Mostly
Batch
FAST DATA

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What is Fast Data?
Fast Data is combining Systems of Engagement (batch) and
Systems of Record(Real-time) together quickly to support
new next-generation business analytics.
Systems of engagement (SOE)
• Mobile, web, and smart devices
• Frequent changes
• Delight clients
• Delivered frequently
Systems of record (SOR)
• Stable requirements
• Highly transactional
• Less change
• Delivered infrequently
Forrester estimates that 20% of all data in an enterprises
is Fast Data, and that’ll double over the next five years.
Fast
Data
Traditional DataReal-time data

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Road Map For Fast Data Strategy

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Four-Phase road map to help deliver your Fast
Data strategy
1. Phase 1. Remove insights bottlenecks – migrate away from
slow-moving batch processing, and focus on automation.
2. Phase 2. Remove operational bottlenecks to scale. Use real-
time streaming and embedded analytics, and decision making
3. Phase 3. Enable self-service data platform. Focus on self-
service tools that enable end-users to access data themselves.
4. Phase 4. Use technologies such as Data virtualization to
accelerate Fast Data Strategy faster time-to-value.

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What is data virtualization
Forrester’s definition:
The integration of any data in real time or near real
time from disparate data sources, whether internal or
external, into coherent data services that support
business transactions, analytics, predictive analytics,
and other workloads and patterns

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Data Virtualization supports real-time
platform
› Integrates disparate data sources in real time or near-real
time to meet demands for analytics and transactional data.
› Integrates internal and external data sources such as
Hadoop, NoSQL, and enterprise DW platforms.. social
› It supports both structured and unstructured data sources.
› It delivers a self-service trusted data platform to support
simplified data access across the enterprise.
› It is agile to support new sources, and deliver new next-
generation insights need for business to succeed.

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Data virtualization deployment strategy
ERP
CRM
Text
Logs
Sensors
Audio
Social
Video
Data
Lake
Hadoop
Data Warehouse
Data Virtualization
BI
Analytics
Predictive
Manage Integrate Deliver
IOT Apps
Reporting

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Recommendations
› In the era of big data, you need to look beyond traditional data
architectures to succeed and gain competitive advantage.
› Fast data strategy needs to be on your roadmap, focusing on
making data available more quickly to business users and
decision makers.
› Look at accelerating batch and slow-moving data, to support
new business insights to grow and innovate.
› Look at data virtualization solution that can provide integration,
security, provisioning and automation to support your fast data
strategy.

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Thank you!
Noel Yuhanna
www.forrester.com
Twitter: @nyuhanna