The document presents an overview of SMAC (Social, Mobile, Analytics, and Cloud) technologies and their significance in enhancing corporate strategies. It highlights the advantages of integrating these technologies for data analysis and service delivery, demonstrating trends in consumer behavior on platforms like Facebook and Twitter, along with the increased usage of mobile devices. The author expresses a personal interest in leveraging social and mobile data for predictive analytics and product optimization.

1. Name: Piyush Sanjay Jain
E-mail: piyushsjain11@gmail.com
Twitter Id: @PiyushSJain11
University: Birla Institute of Science and Technology, Hyderabad.
Year/Semester: IV, VIII
Branch: Computer Science
SOCIAL, MOBILE, ANALYTICS AND
CLOUD (SMAC)

2. Social, Mobile, Analytics and Cloud are the four technologies, which if
integrated together, will help any company, to catapult itself to the position of
a great corporate whatever be it’s current position. SMAC is the integration of
these four.
Social
• Even before any announcement is
made on the so-called “official”
sites, the people get to know
about it through social networking
sites like facebook, Twitter,
Linked-in and Google+.
• The database of such sites is
mammoth and sentimental
analysis of various posts, could
help the company design
products so as to match the
user’s need.
Mobile
• Today, the phone is the computer.
Since the influx of Smartphones,
everything movie reviews, to
online shopping, to e-commerce is
being carried out by hand-held
deives.
• Any company who wishes to
expand or scale up, has no option
but to create and handle mobile
services.
Introduction

3. Introduction
Analytics
• Usage of social networking and
mobiles provides companies with
huge data. Analysis helps to crack
the hidden trends or patterns in
this data, enabling companies to
decipher user’s interest and make
products accordingly.
• This is anologous to going
through “last years papers”, to
guess this year’s paper!
Cloud
• Cloud technologies enable
companies to deliver services to
client on the internet. A pool of
resources capable of storage,
processing, networking is
possible by placing dedicated
servers in proper locations across
the globe.
• This allows Companies to expand
as they cut through Geographical
locations.

4. With a staggering 100 million Indians on
Facebook, 33 million on Twitter and 26
million on Linked In there is no wonder, it is
hot-spot for companies to obtain raw data, to
gauge in the consumers’ interests.
With the surge in the
smartphone market and
given the ease and
convenience smartphones
provide, it is not surprising
that 80 % of the above
Facebook users and 76% of
the Twitter users, access the
sites via mobile. Many e–
commerce companies,
Flipkart, Amazon provide
special offers for their
mobile app users.
Big Data has become the buzzword in the
corridors of corporate power and is being
used by every next company including
Google, Amazon, Ebay and pure analytics
companies like Musigma, Fractal Analytics
and so on.
Most companies
including Cisco, Amazon,
Microsoft, IBM today use
cloud services for
virtualization, handling
API interfaces, innovation
and reducing cost . They
have an added advantage
of being able to cut
across geographical
regions by placing
dedicated cloud servers
at appropriate locations.
Social
Analytics
Mobile
Cloud
Advantage
Current Trends

5. Future Trends
• Usage of Social media is going to increase incredibly in the
coming years, leading to emergence of new, innovative social
websites and strengthening of current ones (Facebook, Twitter).
• Spread of affordable 3G and 4G services, will ensure a stable
increase in hand-held devices as companies shift from PC to
mobile devices.
• Analytics will remain quitessential for any company including
Investment Banking (Morgan Stanley, Goldmann Sachs), E-
commerce (Amazon, Ebay, Walmart, Flipkart), Social networking
(Facebook, Twitter, LinkedIn).
• Cloud technology will find wide applications in areas of enterprise
and multimedia.

6. My interests
• My interest lies in the Social and Mobile aspects of the SMAC
concept.
• Given a chance to work, I would like to develop innovative ways to
extract data from the social networking sites and mobile data and
optimize the extraction, make small-time scale predictions and
verify how correct the predictions were.
• For example, I may be interested in development an mobile app
which collects product reviews given by a user and based on that
suggests the advertiser proper products, that user is likely to buy
in near future.
• Based on how, the results vary from the original results,
optimizations, corrections and important insights could be
obtained.

7. THANK YOU!