This document discusses emerging technology trends in social analytics and predictive analysis. It provides examples of how companies like Ford, IBM, and SportingIndex are using predictive technology and big data analytics in sports to analyze historical data and predict outcomes. Social media analytics tools like ThisMoment and Sprout Social are also discussed that help analyze social marketing efforts and monitor social media conversations. The document emphasizes the importance of data visualization and interactive data formats to effectively communicate insights from large and complex data sets.

1. helping create
brands for the future
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2. Technology trends : Social Analytics
Date 07 April 2014
Contact praveen.jose@blogworks.in

3. Introduction
Five forces – analytics, mobile, social, cloud, and
cyber – are hard at work enabling and disrupting
organisations of many shapes and sizes.
Business intelligence and analytics (BI&A) and the related
field of big data analytics have become increasingly
important
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4. usage of predictive technology in
sports industry

5. Predictive technology
As organisations become smarter, they can analyze
historical data to make prediction
Ford tapping the power of Google navigation to predict
where you want to go based on your previous routes.
link
IBM , SportingIndex provide data game changers: Real.
Sports. Data.
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6. Tech : SportingIndex
Sentiment analysis in numbers
Team wise tracker.
Provide insights to team
management to improve fan
engagement.
IMAGE
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7. Predictive tech : IBM
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Preventive Injury tracker
with Analytics for the
Tigers Rugby League
Rapidly aggregate and
analyze data of all 50
players.
Gain a competitive
advantage which
eventually improves
viewership.

8. big data to the rescue

9. Big Data Gets Bigger and Becomes a Service.
Big Data – A term described to describe the techniques
used to capture and utilize the exponentially increasing
streams of data. Rapid increase in data makes this a fast-
growing hard trend that cannot be ignored.
Goal - To bring enterprise-wide visibility and insights to
make rapid critical decisions
Big Data as-a-Service (BDaaS) will emerge this year as
cloud providers offer midsize and smaller organizations
access to much larger streams of relevant data .
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10. Tech : How Big is the data?
IMAGE
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11. Tech : Big Data on the cloud?
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12. Analytics gone social

13. Social analytics
Super-aggregators are trying to get to the bottom line to
understand whether social marketing efforts are paying
off.
Tools like thismoment use data obtained from Google
Analytics, Facebook Insights, and others, and shows you
how your company is doing on campaigns
Increased use of Google Analytics API
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14. Tech : ThisMoment
Thismoment Developer Platform
Creative freedom without the
complex infrastructure.
Provide tools you need to build your
next interactive brand experience
quickly and easily through APIs
Social authentication, hosting and
documentation
IMAGE
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15. Tech : Sprout Social
Social media management platform
to monitor incoming messages and
schedule posts for Twitter, Facebook,
Google+ and Linkedin
Integration with Google Analytics,
UserVoice and Zendesk
IMAGE
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16. Finally, presentation matters

17. Data visualization
HTML5 - richer framework for videos and interactive
content. Developers can make new apps without being
confined to a specific code base.
Flash – still hanging around with rich interactive content
Increased customizations for mobile devices
Interactive cards – future
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18. Tech : Interactive Cards
IMAGE
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19. Where do we stand?

20. Evolution in data management
We are possessing rich, meaningful data
Outdated data management techniques
Big data is a far-fetched dream – MapReduce, Hadoop
Database project would be a first step towards achieving
this . Make more sense with our data
Mapping one datastore to many applications
Significant Time Benefits
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21. Predictive analysis
Key : Sentiment analysis cannot be automated. Manual
intervention required
Provide actionable insights to clients. Automated
marketing research as an offering
Brands are looking out
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22. Social Analytics
Work with Google, APIS, future technolgy to move forward
Analytics to be an integral part of our offering
Win confidence of clients through crisp, clear analysis
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23. Data Visualization
Make a right choice. Choose a technology which is
constantly evolving
Do justice to our data. An impressive face
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24. Credits
IBM data analytics
Inc magazine
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25. thank you
www.blogworks.in