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Fundamental of Big Data in 2 minutes!!
Introduction
Fundamentals of
Big Data in
2 minutes!!
In today’s world where information is increasing every second, BIG DATA takes
up a major role in transforming any business
We all know what BIG DATA is…but let’s reiterate
In simple English…
Big data can be described as a really large data base, with both structured and
unstructured data collected through various channels, which is difficult to process.
It also refers to the tools and processes that an organization uses to handle the large
amounts of data and storage facilities
The 4 V’s of Big Data
Know your Big Data!
Image courtesy: pauldunay.com
Big Data alone cannot make any difference to your business.
It is the basic element for success. But a lot depends on what you extract from the data
and what decisions you make!
Reduced Risk
Cost reduction
Greater operational efficiencies
More data
Accurate analyses
Better decision making
Why Big Data?
According to analyst firm Gartner, Big Data is at the portion of the hype cycle called the
“peak of inflated expectations”.
All major companies are turning towards big data to make strategies, to understand
their customers better, and to increase their revenue and reduce costs.
A recent study found that companies with huge investments in Big Data are generating
excess returns and gaining competitive advantages, putting companies without
significant investments in Big Data at risk.
The reason: There’s a big learning curve with Big Data.
Sources:
http://bit.ly/189iC5F
By 2015, 4.4 Million IT jobs will be created globally to support big data, with 1.9 Million
in the United States
Sources: McKinsey Global Institute, Twitter, Cisco, Gartner, EMC, SAS, IBM, MEPTEC, QAS
Social Media and Big Data
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We all know that social media generates huge amounts of data; the explosive growth of social
media is one of the reasons that 90% of all the data in the world has been generated in the last two
years alone.
Sources: http://bit.ly/15HQ9Ty ,
http://bit.ly/10mC3kv
30 Billion pieces of content are shared on Facebook every month
Sources: McKinsey Global Institute, Twitter, Cisco, Gartner, EMC, SAS, IBM, MEPTEC, QAS
4 Billion+ hours of video are watched on YouTube every month
Sources: McKinsey Global Institute, Twitter, Cisco, Gartner, EMC, SAS, IBM, MEPTEC, QAS
400 Million tweets are sent per day by about 200 million monthly
active users
Sources: McKinsey Global Institute, Twitter, Cisco, Gartner, EMC, SAS, IBM, MEPTEC, QAS
In a couple of years, digital and social media have drastically evolved business, economy,
social life and culture as a whole.
Market researchers have widely adopted social media as an effective and affordable tool for gaining insights into target groups,
customer needs, brand impact and other important market research.
Sources http://bit.ly/17njC2c
SOCIAL MEDIA
MORE INSIGHTS
FASTER INSIGHTS
INDIVIDUAL INSIGHTS
DIVERSE INSIGHTS
Why data from Social Media?
Simplify360 and Big Data
Simplify360 – Leader in Social Business Intelligence
Comprehensive Coverage of User Generated Sites / Data
Social Networks
500mn+ blogs / micro- blogs
50,000+ forums / news sites
Customized sites / enterprise data
Analysis across 28 languages
Monitor Billions of messages in real time
custom sites
Simplify360 – Fastest Growing Brand
Most admired brand for Social Media Research on slideshare
Top 10 Product Technology Company by TechSparks 2010
Listed amongst TOP 10 SMM tools by PR2020 and SocialMedia8
Ranked 12 amongst 100 SMM tools by AboutAnalytics
Simplify360 – Competitive Edge to Clients through Next Generation Analytics
Simplify360 – Big Data System
Simplify360 – Big Data System
Simplify360 – Some interesting facts
Collection of 5000 messages per second
5 TB of information every week and growing
Analysis in real time; output within 2 minutes
Listening in 53 World languages
Analysis in 28 languages
Text and non-text, structured and non-structured
Access to millions of social media conversations and internal enterprise data through integration.
Simplify360 – Product View
Usable Social Media Dashboards across different departments of Enterprise.
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