In this webinar, Frank Ohlhorst provides an overview of his new book, “Big Data Analytics: Turning Big Data into Big Money.” Focusing on the business and financial value of big data analytics, respected technology journalist Frank J. Ohlhorst shares his insights on the newly emerging field of big data analytics. Webinar discusses: * Importance of analytics and processes * Tangible and intangible value of Big Data * Opportunities to identify new business and improve profits What you’ll learn: * Big Data and its Competitive Advantage * Financial value of big data analytics * Best practices for monetizing your big data “Once the domain of large on-line retailers such as eBay and Amazon, Big Data is now accessible by businesses of all sizes and across industries. From how to mine the data your company collects, to the data that is available on the outside, Big Data Analytics shows how you can leverage big data into a key component in your business’s growth strategy,” said Frank J. Ohlhorst.

1. Big Data Thought Leadership Webinar
23 Jan
2013
Web: www.cetas.net
Twitter: @CetasAnalytics
Blog: www.cetas.net/blog
YouTube: www.youtube.com/CetasAnalytics
© 2009 VMware Inc. All rights reserved

2. Introductions
Frank Ohlhorst
Chief Analyst, Technology Journalist & Author
“Big Data Analytics: “Turning Big Data into Big Money”
Karthik Kannan
Senior Director, Marketing at Cetas (Pivotal Initiative)
(Formerly co-founder, VP Products at Cetas)
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3. Big Data Thought Leadership Webinar Series
Today’s Big Data Thought Leader:
Frank Ohlhorst is an award-winning technology journalist,
professional speaker and IT business consultant with more than
25 years of experience in the technology market. He has written
articles for a variety of technology and business publications, and
he worked previously as executive technology editor at eWeek
and director of the CRN Test Center.
His most recent work is “Big Data Analytics: Turning Big Data
into Big Money”
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4. The World of Big Data
Big Data Drives Rapid Changes in Infrastructure and
$232 Billion in IT Spending Through 2016
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5. Hot new trends affecting us
 Hadoop
 Machine data growth
 New app platforms with analytics
 Mobile apps/devices data disruption
 Analytics-as-a-Service – On-premise and Public Cloud
Analytics & Insights Driven Business Decisions
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6. Sources of Big Data
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7. Confidential
© 2009 VMware Inc. All rights reserved

8. Business Analytics
Category
• Online App Analytics
Problem
• Provide real-time visibility into business for Online
companies
• Insights and interpretation of Big data
Use Cases
• Customer Behavior Analytics and Audience Segmentation
• Grow revenue and focus on monetization
• Grow traffic, user engagement and user acquisition
8 VMware Confidential; Do NOT Distribute

9. IT & Operational Analytics
Category
• Operational Analytics
Problem
• Provide real-time visibility into business & IT Operations
• Scalable Time-event Correlation and log processing
Use Cases
• Log Analytics, App Analytics
• Investigative analytics and root cause analyses
• Application/Infrastructure performance and management
9 VMware Confidential; Do NOT Distribute

10. User profiles
1. Business analysts, LOB managers, execs
• Need: out-of-the-box multi-dimensional analytics
• Designed for: self-service for business
2. Data engineers/analysts
• Need: power capabilities, modeling and custom
• Designed for: business users and data specialists
3. Operations
• Need: interactive drill-downs, investigative analytics
• Designed for: IT/admin, ops, app developers
10 VMware Confidential; Do NOT Distribute

11. Big Data Thought Leadership Webinar Series
What is Big Data?
 The Arrival of Analytics
 Where is the Value?
 More To Big Data Than Meets the Eye
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12. Big Data Thought Leadership Webinar Series
Why does Big Data matter?
 Big Data Reaches Deep
 Obstacles Remain
 Data Continues to Evolve
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13. Big Data Thought Leadership Webinar Series
Building the Big Data Team
 The Data Scientists
 The Team Challenge
 Different Teams, Different Goals
 Don’t Forget the Data
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14. Big Data Thought Leadership Webinar Series
Big Data Sources
 Hunting for Data
 Setting the Goal
 Big Data Sources Growing
 Diving Deeper into Big Data Sources
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15. Big Data Thought Leadership Webinar Series
The Evolution of Big Data
 Big Data: The Modern Era
 Today, Tomorrow, & the Next Day
 Changing Algorithms
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16. Big Data Thought Leadership Webinar Series
Best Practices for Big Data Analytics
 Start Small with Big Data
 Thinking Big
 Avoiding Worst Practices
 Baby Steps
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17. Big Data Thought Leadership Webinar Series
Bringing It All together
 The Path to Big Data
 The Realities of Thinking Big Data
 Hands-on Big Data
 Big Data Visualization
 Big Data Privacy
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18. Big Data Thought Leadership Webinar Series
Questions & Answers
January's Big Data Thought Leader: Available on
Amazon Today
Frank J. Ohlhorst
fohlhorst@gmail.com
http://ohlhorst.net
@FJO_Writes_Tech
Limited Stock
Available
www.cetas.net/webinars
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19. Big Data Thought Leadership Webinar Series
February’s Big Data Thought Leader:
Laura Madsen — Principal
Healthcare Leader, Speaker, &
Author - @lbmadsen
"Healthcare Business Intelligence: A
Guide to Empowering Successful
Data Reporting and Analytics."
Available on
Amazon
Register Today, as space is limited for this premium webinar
www.cetas.net/webinars
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20. Sign-up today for FREE Analytics @ www.cetas.net !
Cetas Big Data Analytics Free Trial
Monetize Your Big Data Today!
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21. Big Data Thought
Leadership Webinar Series
INSTANT INTELLIGENCE
Live Webinar Registration and Recorded
Webinars available at
www.cetas.net/webinars
Web: www.cetas.net
Twitter: @CetasAnalytics
Blog: www.cetas.net/blog
YouTube: www.youtube.com/CetasAnalytics
© 2009 VMware Inc. All rights reserved