ema analyst slides: 2013 big data research results

Operationalizing the Buzz:

Big Data 2013 A Review of EMA / 9sight Research

Shawn P. Rogers

VP of Research

EMA

John Myers

Senior Analyst

EMA

Dr. Barry Devlin

Founder & Principal

9sight Consulting

© 2013 Enterprise Management Associates, Inc. & 9sight Consulting

Today’s Presenters

2 © 2013 Enterprise Management Associates, Inc. & 9sight Consulting

Shawn Rogers, VP of Research, EMA

Shawn has more than 19 years of hands-on IT experience, with a focus on Internet-

enabled technology. In 2004 he co-founded the BeyeNETWORK and held the position of

Executive VP and Editorial Director. Shawn guided the company's international growth

strategy and helped the BeyeNETWORK grow to 18 Web sites around the world, making

it the largest and most read community covering the business intelligence, data

warehousing, performance management and data integration space.

John Myers, Senior Analyst, EMA

John has over 10 years of experience working in areas related to business analytics in

professional services consulting and product development roles. Additionally, John helps

organizations solve their business analytics problems, whether they relate to operational

platforms – such as customer care or billing – or applied analytical applications – such as

revenue assurance or fraud management.

Dr. Barry Devlin, Founder & Principal, 9sight Consulting

Barry has 30 years of experience in the IT industry, previously with IBM, as an architect,

consultant, manager and software evangelist. He is a founder of the data warehousing

industry and among the foremost authorities worldwide on business intelligence. He is a

widely respected consultant, lecturer and author of “Data Warehouse--from Architecture

to Implementation.”

Logistics for Today’s Webinar

3

• An archived version of the event

recording will be available at

www.enterprisemanagement.com

• Log questions in the Q&A panel

located on the lower right corner of

your screen

• Questions will be addressed during the

Q&A session of the event

Questions

Event recording

© 2013 Enterprise Management Associates, Inc. & 9sight Consulting

http://www.enterprisemanagement.com/

Research Sponsors


Agenda

• Research Highlights

• Respondents

• Projects

• Big Data Requirements

• Speed of Response

• Load

• Economics

• Complex Workload

• Structure

• Hybrid Data Ecosystem

• Question and Answer


Research Methodology

• Highly Qualified

• Trends year over year

• Global in Coverage

• Balanced – Business and IT

• Real World Project Insights

• Almost 600 active Big Data projects

• Sponsors, workloads and more


2013 Research Highlights


Key messages

• Clear move from market hype to real implementation

• Maturing of solutions

• More projects in production

• Machine-generated data shows significant growth


Two thirds of respondents have more than one

Big Data project.


In operation grows from 36% to 53%


The REAL Big Data Logical Architecture

• REAL = Realistic, Extensible,

Actionable, Labile

• Three interconnected pillars

of information

• Messages, events, measures and

transactions from real world

• Metadata = context-setting information

• Adaptive information processing

• Instantiation, assimilation and

reification – ETL, ELT, Virtualization

• See “Business unIntelligence – Insight and

Innovation Beyond Analytics and Big Data”

http://bit.ly/BunI-Technics Events Measures Messages

Transactions

Reification

Utilization

Instantiation

Human-

sourced (information)

Machine-

generated (data)

Process-

mediated (data)

Context-setting (information)

Assimilation

Transactional (data)


http://bit.ly/BunI-Technics




Machine-generated data jumps 14%


Survey Respondents


Respondent Perception of Corporate Innovation


Innovators around the World

Slide 15 © 2013 Enterprise Management Associates, Inc. & 9sight Consulting

Big Data Projects


Project Sponsors


Business Users Take the Lead


Drivers of Big Data


Importance of Data in Business


Technical Motivators


Big Data Size for 2013

5.5-100TB

1.1TB-2PB

30% indicated 11-20%

of overall data

management was

allotted to Big Data

initiatives

Most Common Response

Majority Response 24 © 2013 Enterprise Management Associates, Inc. & 9sight Consulting

Big Data Management Size for 2014

6-120TB

1.2TB-2.8PB


Majority Response

31% of Respondents

indicated 11-20%

growth for 2014


Big Data Budgets for 2013

$550k-$5m

$10k-$20m


Majority Response

40% of Respondents

indicated 11-20% of

overall IT Budgets

were assigned to

Big Data


Who’s paying?

$88k-$1.25m

49% of Respondents

indicated non IT

sources of Big Data

Budget funding


Big Data Platforms have Multiple Uses


Increasing Workloads


Expanding Beyond the Wall:

Rome


http://en.wikipedia.org/w/index.php?title=File:Seven_Hills_of_Rome.svg&page=1

Expanding Beyond the Wall:

When and Where to Apply Schemas


http://www.tableausoftware.com/solutions/business-dashboards?width=830&height=672&inline=true

Hybrid Data Ecosystem


Hybrid Data Ecosystem 2012:

Creating a New Nucleus



Distribution of Platforms

One Platform, 28.2%

Two Platforms, 32.1%

Three Platforms, 27.8%

Four Platforms, 4.3%

Five Platforms, 3.5%

Six Platforms, 1.5%

Seven Platforms, 0.4%

Eight Platforms, 2.3%

Sample Size = 259



From Requirements to Consumers


Question and Answer


Question and Answer:

Please Log Questions in the Q&A Panel

Get the Big Data Operationalizing the

Buzz Research Report at

https://www.enterprisemanagement.

com/research

Available October 21, 2013!


https://www.enterprisemanagement.com/research

https://www.enterprisemanagement.com/research

ema analyst slides: 2013 big data research results

Technology