Big data refers to large and diverse data sets that are analyzed to reveal insights. This document discusses how big data is important for the mobile market. It is gathered from various sources like loyalty programs, social media activity, emails, and sensors in phones. Big data helps mobile applications meet customer expectations, analyze user experience, access real-time data, improve revenue, and personalize services. Industries like retail, healthcare, and banking widely use big data. It will transform future mobile apps by helping businesses understand user needs better.

1. Big Data in Mobile
Computing
VEDANK NAIK
SP192221
NAI009@CHOWGULES.AC.IN

2. Content
 Introduction
 How Big Data Works
 Importance of Big Data for Mobile Market
 Gathering Big Data
 Role of Big Data in Mobile Market
 Summary

3. What Is Big Data?
 Big data refers to the large, diverse sets of information that grow at ever-
increasing rates.
 Large volume of structured, semi-structured and unstructured data that
has the potential to be mined for information.
 Used in machine learning projects and other advanced analytics
applications.
 It’s not the amount of data that’s important. It’s what organizations do
with the data that matters.
 Big data can be analyzed for insights that lead to better decisions and
strategic business moves.

4. How Big Data Works
1. Integrate
 Big data brings together data from many sources and applications. It
requires new strategies and technologies to analyze big data sets at
terabyte, or even petabyte scale.
 During integration, you need to bring in the data, process it, and make
sure it’s formatted and available in a form that your business analysts can
get started with.

5. How Big Data Works
2. Manage
 Big data requires storage. Storage solution can be in the cloud, on
premises, or both. You can store your data in any form you want and bring
your desired processing requirements and necessary process engines to
those data sets on an on-demand basis.
 Many choose their storage solution according to where their data is
currently residing. The cloud is gradually gaining popularity because it
supports your current compute requirements and enables you to spin up
resources as needed.

6. How Big Data Works
3. Analyze
 Your investment in big data pays off when you analyze and act on your
data. Get new clarity with a visual analysis of your varied data sets. Explore
the data further to make new discoveries. Share your findings with others.
Build data models with machine learning and artificial intelligence. Put
your data to work.

7. How is Big Data big for the
mobile market?
 No matter what your app is meant to do you sure need a thing,
information about your users. This information would necessarily contain
complicated details about their behavior related to app usage.
 What are the triggers that motivate them to download the app, what are
the scenarios that drive app usage and what are the turn off points that
lead them not to rate the app or uninstall it.

8. How do you get all this data?
1. Loyalty programs/cards
 Loyalty programs or cards carry great benefits for companies. The
program focuses on rewarding the repeat clients and motivates extra
shopping. This means, that every time you use credit cards, or loyalty
cards, your purchase data is not only being tracked but also stored.
Typically, it does make sense for retailers to know which products/services
are being sold to which group of customers but this insight is also used
by them to create a detailed customer profile.

9. 2. Satellite imagery
 Almost 250 miles above our heads and planet, plenty of low-cost small
satellites are offering us a lot better understanding of the actual human
economy. In other words, another interesting source of big data
by companies is something visible from the sky.
 With the arrival of latest technology like Google Maps and Google Earth,
this satellite data is publicly available now. This means that analytics
experts can develop surprisingly a lot more complete picture of some
particular areas. Also, they can easily begin to recognize and understand
the kinds of people who actually work or even live in such locations.

10. 3. Email Inbox
 Companies are using the modern email services as depositories of the
huge amount of user data. From email marketers point of view, data is
indeed mission critical. They are always on the quest to collect a valuable
and right set of data so that they can send a much better, real-time and
targeted email to the subscribers while offering them a valuable inbox
experience.
 Companies like Google and Yahoo are using algorithms to fully scan your
email content for particular keywords aiming to offer to advertise fully
targeted toward user interests.

11. 4. Social media activity
 Since almost every part of our global population is making use of
social media platforms, in their daily routine, these platforms are now
being analyzed in different ways. Social networks are one of the biggest
sources of collecting consumer big data. It is common for users to
reveal their information about personal lives to these services.
 Users disable the posts or activities they do and how many times they log
into the website throughout the day. All of this critical and personal
information is then used to create a complete and thorough user profile
with regards to their habits, detailing all the information that is relevant
and important to them.

12. How does your phone gather data?
 The basic tools used for this purpose are various types of sensors
embedded in the phone.
 Phones include a sound sensor (microphone), an image sensor (camera),
a touch sensor (screen), an accelerometer, a light sensor, a proximity
sensor and several sensors to determine the location (including a
gyroscope, a magnetometer, or GPS).

13. Role of Big Data in Mobile
Applications
1. Meeting Customer Expectations
 Create an app which focuses to meet the customer expectation rather
than focusing on its design. The design is important but more important
is “Serving the customers what they are looking for”.
 Big Data helps you to analyze relevant data generated by users on the
basis of demographics, react and interact with apps which help business
owners to generate ideas to optimize and improve their applications in
an innovative way.

14. 2. Analysing User Experience
 Once you work on meeting customer requirement, you also need to
about the user’s experience by performing experience analysis and get a
360-degree view of user experience and usage. The features which are
more used by the users can be analyzed and modified accordingly to
you maximize engagement.

15. 3. Real Time Data access
 With emerging trends, every business needs to stay updated. Big Data
helps you to access the real-time data of users. This way you can meet
customers expectations by doing the respective changes in the apps.
4. Better Revenue
 Big data provides the data related to the user’s behavior – likes, dislikes,
age, gender, location, geographies, etc.

16. 5. Personalization
 Big Data help you to optimize searches in a smoother way by analyzing the
data which comes from user queries, assigning priorities and delivering
better results. Data can be grouped for immediate answers.
 E-commerce businesses are an example of using Big Data for replying to
customers instantly with different queries at the same time.

17. Top industries that use Big Data
 Retail
 Consumer utility
 Healthcare
 Home automation
 Manufacturing
 Banking

18. Big Data for Future Mobile Apps
 The increasing usage rate of mobile phones and tablets is making the
market value of mobile apps reach up to $189 billion.
 It demands smart mobile apps development in precision to the perfect
user experience. Businesses are using Big Data to analyze user
requirements and interests and develop more alluring business apps.
 If you are not using Big Data in contrast to your competitors, then they are
more likely to generate higher revenues, improve their customer
experience, and enhance enterprise-wide performance.

19. References
 https://en.wikipedia.org/wiki/Big_data
 https://www.sparkbit.pl/big-data-development-driven-smartphone/
 https://codeit.us/how-is-big-data-collected/
 http://www.iamwire.com/2017/04/mobile-apps-big-data/149051
 https://www.imgglobalinfotech.com/blog/using-big-data-analytics-in-mobile-
app-development-developers-guide/
 https://www.thinksys.com/big-data/role-big-data-mobile-app-development/
 https://datafloq.com/read/big-data-transforming-mobile-app-
development/5048
 https://www.dataversity.net/big-data-analytics-right-tool-mobile-app-
development/#

20. THANK YOU