1. Performance, Scalability, and
Economic Benefit of Open Analytics

2. About Us
Core Competencies include: Search (Apache Lucene, Elastic Search), Big Data
Analytics (MongoDB, Apache Hadoop), Natural Language Processing (Apache
OpenNLP), Web Crawling (Apache Nutch)
Big Data Unstructured Data
Agile Intelligence
Structured Data Open Analytics
Business Value

3. Agenda
• Why a need in the market
• Market trends and patterns
• What is open analytics
• Deriving economic value

4. Why the need
Data is becoming the new raw material of
business: An economic input almost on par with
capital and labor.
“Every day I wake up and ask, „how can I flow data
better, manage data better, analyze data better?”
Rollin Ford, the CIO of Wal-Mart
Source: Data, Data Everywhere, The Economist, February 25, 2010

6. Source: Mike Driscoll, CTO Metamarkets: The Three Sexy Skills of Data Scientists (& Data Driven Startups)

7. Source: Mike Driscoll, CTO Metamarkets: The Three Sexy Skills of Data Scientists (& Data Driven Startups)

8. Market growth (BI)
$ of growth by year
40 “After three decades, the business analytics
market is finally reaching the mainstream” $33.9B
35
“There are few growth inhibitors in the $30.4B
30 foreseeable future” $28.1B
$24.3B $24.9B
25 $22.1B
$19.4B
20 $17.5B
15
10
5
0
2005 2006 2006 2008 2009 2010 2011 2012
Source: IDC Worldwide Business Analytics Software - $billions – 2011 and 2012 estimates

9. Top 5 CIO Business and Technology Priorities (2012)
R Top 5 Technology Priorities R Top 5 Business Priorities
1 Analytics and business intelligence 1 Increasing enterprise growth
Attracting and retaining new
2 Mobile Technologies 2
customers
Cloud Computing (SaaS, IaaS,
3 3 Reducing Enterprise Costs
PaaS)
Creating new products and
4 Collaboration technologies 4
services (innovation)
5 Legacy modernization 5 Delivering operational results
Source: Gartner Top 10 Business and Technology Priorities in 2012

10. Open Analytics
• Process to design and implement
analytical solutions
• Joins open tools and agile engineering
techniques
• Goal is to enable organizations to deliver
analysis products smarter, faster and more
efficient which enables top line growth

11. How does this relate to open analytics
R Top 5 Technology Priorities
1 Analytics and business intelligence
R Open Analytics
2 Mobile Technologies
3 Cloud Computing (SaaS, IaaS, PaaS) 1 Open innovation
4 Collaboration technologies
5 Legacy modernization 2 Mission agility
R Top 5 Business Priorities
3 Open source software
1 Increasing enterprise growth
2 Attracting and retaining new customers
4 Easily extensible algorithms
3 Reducing Enterprise Costs
Creating new products and services
4
(innovation) 5 Analysis teamed with technology
5 Delivering operational results

12. Open Architecture + Open Source = Open Analytics
Solutions for analysis
• Processing needs
• Search and Aggregation
• Harvesting and Enrichment
• Data and Document Storage
• Machine learning
• Visualization
Business Value enabled analysis
• Require the ability to quickly change
• Require the ability to quickly scale
• Require the ability to visualize uniquely
• Require the ability to be domain specific

13. Deriving economic value
• What problem will I truly be solving?
• How is my big data solution to derive
analytical meaning?
• Can I apply a $ value to the solution?
If I said no any of these do I really have a
problem today and is status quo okay?
Start with a simple question you are trying to solve and get specific really fast!

14. Question for the audience
How are you using open source big data
analytics today to drive topline business
growth?
a) Unstructured and structured data fusion
b) Machine learning and prediction
c) Dashboarding, mashups and data visualization
d) Other?

15. Thank You!!!
Christopher Morgan
www.ikanow.com
cmorgan@ikanow.com