This document provides a summary of 10 projects undertaken from April 1st to May 31st, 2013. The projects covered various topics including analytics companies, MVNO operators in India, technology associations, testing and measurement equipment, pre-and post-release sentiment around the Xbox One, announcements from Microsoft competitors, device categorization, and mobile companies. For each project, the document outlines the introduction, key findings, and methodology. The conclusion reflects on lessons learned from structuring and analyzing data from various public sources to complete the projects on time.

1. May, 2013
Project Report
1st April 2013 – 31st May 2013
Submitted By : Arijit Bhattacharya

2. 2
Table of Contents
BACKGROUND
PROJECTS
TAKEAWAYS AND CONCLUSION
• Analytics Companies Project
• MVNO companies based in India
• Technology Associations Project
• Test and Measurement
• Pre release sentiment for Xbox One
• Post release sentiment for Xbox One
• Recent Announcements MSFT Competitors
• Device categorization project
• Mobile Companies project
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5
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12

3. 3
Background
With multiple projects on the anvil, it is necessary not only to track the
status of the projects but also to get a clarity completed , and to bring all
the projects under a common articulation of :
a) Introduction about the project and its scope
b) Key findings of the projects, and
c) Project methodology followed and adopted.
The presentation is also a concise summary of 10 projects undertaken
during the period 1st April 2013 to 31st May 2013.

4. 4
Analytics Companies Project
Introduction Key Findings
Methodology
Yearly funding trend (in millions): 2008 - 4.67, 2009 – 22.76,
2010 – 89.46, 2011 – 208.01, 2012 – 363.99, 2013(1st quarter) -
104.78
Funding trend (most funded, in millions): 2009 – Big Data
Analytics (8.52), 2010 – Predictive Analytics (29.68), 2011 –
Business Intelligence (58.25), 2012 – Big Data Analytics (106.89),
2013(1st quarter) – Data Analytics (27.8)
Startups by Region : America – 70%, Asia Pacific – 10%, Europe –
17%, LATAM – 1%, Middle East & Africa – 2%
Most Number of startups: 2008 – Business Analytics and Data
Analytics (9), 2009 – Web Analytics (17), 2010 – Data Analytics
(22), 2011 – Social Media Analytics (25), 2012 – Web Analytics
(13), 2013(1st Quarter) – Data Analytics and Web Analytics (1)
1. Data was obtained from public data bases such as insideview.com and crunchbase.com . This data was gathered in an Excel
sheet
2. A total of 396 analytics companies were studied.
3. Filters were added to the excel sheet for easier consumption of data.
4. In the end an excel sheet analysis was done which led to the key findings.
This project involved documenting the funding patterns for
start-ups in the Analytics space. The main objective was to
find out which are the start-ups that have received funding
and the investment houses that are funding them. The
categories of upcoming analytics companies were also
classified as per geography.

5. 5
Introduction Key Findings
Methodology
MVNO companies based in India
1. A secondary research was done to showcase understanding and key findings of MVNOs in India.
A MVNO is a company that sells “mobile phone services” by
making the use of another company’s existing network
infrastructure.
This project included a secondary research on MVNOs
(Mobile virtual network operators) , which included the
background description about MVNOs, the presence and
scope of MVNOs in India.
The biggest MVNO in the world is Virgin Mobiles UK. In India
Virgin Mobiles is the only MVNO present which uses the
networking infrastructure of TATA Teleservices.

6. 6
Introduction Key Findings
Methodology
Technology Associations Project
1. Data was obtained from public sources and this data was gathered in an Excel sheet.
2. Data was organised by the technology that it encompasses.
3. Additionally, details pertaining to Technology Ministries were also captured.
4. A total 75 IT Associations were recorded in the data sheet.
5. In the end the data sheet was refined and organized.
The purpose of this project was to create a database of all
the IT Associations in US, UK and India. This was done to
prepare a single point database for reference for future
research.
A list of 75 industry associations was prepared for the database.

7. 7
Introduction Key Findings
Methodology
Test & Measurement
1. Mined data in an Excel sheet .
2. Used Test & Measurement reports from Microsoft Internal Sources.
3. Used information from various public domains to arrive at an extensive list of companies, this includes searching publically
available data from sources such as insideview.com and crunchbase.com .
4. Used information from the datasheets of the equipments provided in the company website .
5. Used the annual reports of the companies from their website in order to record the financial information.
The purpose of this project was to obtain an understanding
of the addressable market share for embedded Operating
System in the Test & Measurement Equipment. A database
of OEMs in the Test and Measurement market and their
product offerings was created using Microsoft internal
sources and the public domain.
1. Identified Microsoft’s addressable market opportunity for
Windows Embedded Operating System.
2. Deciphering the key trends pertaining to Application
Specific, General Purpose and Instrumentation Test and
Measurement equipment.

8. 8
Introduction Key Findings
Methodology
Pre release sentiment for Xbox One
1. Speculated Names : Xbox 720, Xbox Loop and Xbox Infinity
2. Pre-release indications were that hard-core gamers expected the new
Xbox to be more of a casual gaming console in comparison with the PS4.
3. There was a conflict in the perception of pricing of the new Xbox: experts
believed it to be the cheapest next-generation gaming console, while
users harboured a pessimistic sentiment believing that it would be
overpriced.
4. Commentators and tech bloggers were mainly addressing the hardware
specifications of the upcoming Xbox, pre-release. A predominant
recurrence of words such as processor, performance, GPU, compatible
and Kinect were observed.
5. Readers commenting on these articles engaged in topics that went
beyond just the hardware specifications. These issues related to pricing
and other concerns such as challenges regarding online connectivity, Blu-
ray compatibility etc.
The purpose was to analysis of the pre-release sentiment
surrounding the next-generation Xbox which was due for
release on 21st May 2013.
1. A sample of twenty articles were shortlisted from a repository of one hundred articles that reported about the next-gen
Xbox.
2. Readers’ comments from the above twenty articles were collected.
3. The text of twenty articles and the comments were analyzed using a text mining analytics software to generate two nodal
networks of word clusters.
4. The nodal network pertaining to the articles were reorganized to reveal the presence of a set of terms that collectively
addressed the technical issues discussed by tech bloggers in the articles.
5. The nodal network pertaining to the comments on the articles were reorganized to reveal the presence of two sets of
terms: one that addressed the technical issues and the second which addressed other miscellaneous issues that were
largely discussed by users.
6. This data from the nodal networks, in conjunction with available secondary information from articles, was used to list out
the key findings.

9. 9
Introduction
Methodology
Key Findings
Post release sentiment for Xbox One
The purpose of this project was the analysis of the post-
release sentiment surrounding the next-generation Xbox
which was released on 21st May 2013.
XBOX ONE - an all-in-one entertainment device, voice
controlled experience from power on throughout the entire
process.
1. The existing Xbox audience wants games, and some
muddled messages around 'always-on' and second-hand
games certainly haven't helped
2. Commentators and tech bloggers are mainly addressing
the hardware specifications of Xbox One.
3. Readers commenting on these articles are raising concerns
about the always on feature and the feature of having to
pay a fee for a second hand game.
4. Some hardcore gamers are also claiming to shift to PS4 as
it is more towards gaming unlike XBOX ONE.
1. A sample of twenty articles were shortlisted from a repository of one hundred articles that reported about the next-gen
Xbox.
2. Readers’ comments from the above twenty articles were collected.
3. The text of twenty articles and the comments were analyzed using a text mining analytics software to generate two nodal
networks of word clusters.
4. The nodal network pertaining to the articles were reorganized to reveal the presence of a set of terms that collectively
addressed the technical issues discussed by tech bloggers in the articles.
5. The nodal network pertaining to the comments on the articles were reorganized to reveal the presence of two sets of
terms: one that addressed the technical issues and the second which addressed other miscellaneous issues that were
largely discussed by users.
6. This data from the nodal networks, in conjunction with available secondary information from articles, was used to list out
the key findings.

10. 10
Microsoft wants to analyse why its numbers are falling along
with all the big companies for the last 9 months . They are
comparing themselves from companies like AWS, Apple,
Google, Salesforce and VMware. And the main aim of this
project is to make a timeline of all these companies in order
to record what all are the main announcements are , be it
any product or service or any kind of update.
Additionally the consumer sentiment regarding the lack
of innovation in the technology sector since 2012 was to
gauged.
Introduction Key Findings
Methodology
Recent Announcements MSFT Competitors
1. Mined data in an Excel sheet.
2. This includes searching publically available data from sources such as TechCrunch.com and the official sites of the
companies which includes press releases , news articles etc.
3. A secondary research was done to showcase understanding and key findings of lack of innovation in the technology .
It was deciphered that most of the products from all the
companies were announced in the month of October. All the
products announced by AWS were application bases
products, Apple had hardware products where as Microsoft
and Google had both hardware and application based
products.

11. 11
Device categorising project
Key Findings
Methodology
Introduction
1. Mined data in an Excel sheet .
2. Used information from various public domains to arrive at an extensive list of companies, used the company sites
and the data sheets of the equipment.
Microsoft has 6000 OEMs to whom it provides Windows
Embedded Operating System, and 70% of their revenue
from the Embedded Operating System comes from 300
such OEMs . In order to satisfy those 300 OEMs they
wanted to identify the specialization of these OEMs so
they can come up with a product which is customized
according to their specialization.
1. Retail and Industrial Automation are the categories
which provides Microsoft the majority of the revenue
from Windows embedded operating system .
2. The significant number of OEMs develop computing
devices which can be customized as per the
requirement of the line of business they are used in.

12. 12
Introduction Key Findings
Methodology
Mobile companies Project
1. Mined data in an Excel sheet.
2. This includes searching publically available data from sources such as gsmarena.com and fonearena.com .
The project is WIP.The purpose of this project is to prepare a database of
mobile phones with special features such as a dedicated
Facebook key or integration with any social networking
site.

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Takeaways and Conclusion
1. Learnt to collect credible data , structuring and organising it , and further
using processing the data by using necessary software and algorithms.
2. Learnt how to use a software to create a nodal network of relevant words
pertaining to the project summarizing the topics coming up in the mined
data.
3. Learnt how to do an excel sheet analysis for the mined data .
4. Learnt how to work in team and completing the project within the allotted
time.
5. Got exposed to the mobile, OEM, Cloud, Gaming, MVNO and Technology
Association Market.

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THANK YOU