Accelerating Fast Data Strategy with Data Virtualization

Accelerating Fast Data Strategy

With Data VirtualizationNoel Yuhanna, Principal Analyst

© 2016 Forrester Research, Inc. Reproduction Prohibited 2

Data bottlenecks are creating

business bottlenecks that’s

impacting growth and innovation!


CurrencyOil

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…

Challenge

Today business users think of analytics as a set

of boring reports and dashboards … they don’t

want yesterdays data tomorrow!

of enterprise datain used for analytics….

12%Only

Source: Forrester’s “The Forrester Wave: Big Data Hadoop Solutions”, report

Reality


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.


Real-time has been evolving over the years but

has been challenging to deploy..Stock market Ticketing

Fraud DetectioneCommerceBanking


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.

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


TREND – The need for Fast Data

Real-time

Mostly

Batch

FAST DATA


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


Road Map For Fast Data Strategy


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.


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


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.


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


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.

© 2009 Forrester Research, Inc. Reproduction Prohibited

Thank you!

Noel Yuhanna

www.forrester.com

Twitter: @nyuhanna