In this presentation, Shushyam introduces the topic of SMAC and associated trends. Shushyam already has experience in machine learning using "R" and he intends to build on that to build customer profiles for targeting with right products and services.

1. Social, Mobile,
Analytics and Cloud
Name: Shushyam M S
E-mail: shushyamms@yahoo.com
Twitter Id: @ambition_shyam
College : BMS College of Engineering,
Bangalore
Year/Semester: 3rd year / 6th sem
Branch: Computer Science

2. SMAC- the buzzword
• SMAC is the integration of Social, Mobile, Analytics and
Cloud to change the way companies do business in order
to provide superior customer experience.
• Social technologies help by connecting individuals
based on shared business needs/requirements or
interests. With over 1 billion individuals logged on to
Social networks people now rely on social media for
almost everything(right from advice on what products to
buy, where to buy to advice on how to impress a
girl/boy)
• Mobile devices deliver information right at your
fingertips. With the increased evolution in Smart phone
technology and 3G & 4G networks, mobile users can
now access a wide variety of services through their
mobile phones.

3. • Analytics- Analysis of the billions of gigabytes of
consumer purchase and survey data help Business
organisations to decide marketing strategy. Analytics is
the natural result of four major global trends: Affordable
technology, mobile computing (that smart phone or
tablet in your hand), social networking, and cloud
computing.
• Cloud operating systems allow cloud computing in
which applications and data “live and run” on internet
rather than the hard drives.
In short, a tomorrow’s business model is to provide
consumers an experience of buying multiple products of a
company all served onto the point of service devices using
analytics drawn from social media like Facebook/LinkedIn
and the customer information stored on cloud. This is an
example of how SMAC as an integrated business paradigm
is necessitating business organisations to look into these
strategies.

4. Trends
• With the integrated SMAC approach, consumer
technology and enterprise technologies have merged.
Analytics from social data stored on clouds are used to
make changes in market share, leadership, players,
market shifts, costs, pricing, or competition that provide
the opportunity for the company’s success.
• Organizations use the Cloud in a variety of different
service models (SaaS, PaaS, and IaaS) and deployment
models (Private, Public, Hybrid, and Community).There
are a number of security issues/concerns associated with
cloud computing: security issues faced by cloud
providers (organizations providing software-, platform-,
or infrastructure-as-a-service via the cloud) and security
issues faced by their customers ( companies who host
applications or store data on the on the cloud).This has
led to the evolution of Cloud security as a sub-domain of
computer security.

5. • The next generation phones will start keeping track of
your personal data, but adapt to anticipate the
information you will need based on your intentions. This
enhanced user experience can only be provided by the
integration of SMAC.
• The online behaviour of a user can be analysed from the
data collected from his/her mobile device(which is stored
on cloud) and provide personalised services.
• With sensors fitted to mobiles that can detect the fall in
pulse rate of the user, mobile applications can be
designed to call his doctor/family member immediately.
• Impulse sensors can be integrated with mobiles. If a
user drops his phone frequently, he might consider
purchasing a cover for his phone. Applications can be
rendered for providing the user with all available options
for buying a protective case for his phone based on the
data collected. The same sensors can be used to
determine if the user has fallen or met with an accident
and call a friend/family member. Thus your mobile
device can be designed to be your care taker.

6. Interests
• Social Network Analysis using R or WEKA
• Using machine learning algorithms to segment
and classify users based on their interests so
that they can be targeted with right products
and services.
• Customers can be classified based on
predictive analytics wherein a user’s next
purchase of an item is predicted based on his
online behaviour, purchases made by his
friends and family, his occupation and
lifestyle(deduced from his personal data)

7. Thank You