Selecting Suitable Emerging Telecom Product for Online Startup Store

Abstract

This Presentation is about Big Data Analytics and the Internet of Things:- Implementing Technology and Data Integration to develop Smart Insights. The purpose of this research is to generate smart insights from Big Data & Internet of Things that will help to make decisions. It is a critical reflection of using IBM Watson Analytics and Bluemix to analyse a range of open source data to help a new business to understand the best product set to sell and then builds a small website for the organisation. Data from Twitter, Bangladesh Telecommunication Regulatory Council, Cyber Media Research and The Global Economy are used as sources.

Full text

Emerging IT Products Development
Module Code- 6CC515
Presentation Covering Course Work 2
Big Data Analytics and the Internet of
Things:- Implementing Technology and
Data Integration to develop Smart Insights
1Prepared By- Mainul Kabir Aion
School of Computing & Mathematics
University of Derby
ID- 100381359
Email- mainul_aion11@yahoo.com

2
Sell Some
Products
BUT!!
Which
Products
Questions
&
Problems
Suitable
Solutions

Project Name: Selecting Suitable Emerging
Telecom Product for Online Startup Store
3

Presentation Outline
Data for Humanity Principles
Suitable Sources of Open Data
Identifying interesting Problem From Selected
Data
Requirement Specification
Relevant Analytics to Solve Problem
Developing Valuable Insights
Justification of the Approach
Recommendations
4

Data For Humanity Principles
Do not harm
Use data to help create peaceful coexistence
Use data to help vulnerable people and people in
need
Use data to preserve improve natural
environment
Use data to help creating a fair world without
discrimination
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Suitable Sources of Open Data
The sources from which open data can be accessed are
known as open data sources.
Selected Open Data Sources for this project are-
1. Twitter
2. Bangladesh Telecommunication
Regulatory Council (BTRC)
3. Cyber Media Research
4. The Global Economy
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Identifying Problem Area (1)
Telecommunication Industry
Number of Subscribers increasing dramatically
(Source: The Global Economy, 2015)
Emerging Telecom Services & Smart Phones
Opportunity for Startup Businesses
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0.21!
75.9!!!

Suitable Solution of the
Problem
Suitable Analytics To Solve Problem
The following analytics and process is going to be
used in case of solving the problem.
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Twitter Sentiment Data
Mobile Phone Operator
Data
Mobile Phone Brand Data
Mobile Phone
Specification Data

SIM Cards & Service Providers
Popularity of Service Providers
Which package is most popular
Call, SMS and Internet Rate
Popularity of Mobile Types
Popularity of Mobile Brands
Popularity of Smart Phone Models
Price of Mobile Phones
Mobile Phone Trends in Social Media
Requirement Specification (1)
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Requirement Specification (2)
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Problems & Questions
(1) Which telecom products should be
available for sell?
(2) What kind of mobile phone is preferred
by average people?
(3) Which mobile phones should be
stocked for a start-up company?

Data Set to Work with
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Smart Insights of Mobile Phone
Operators of Bangladesh (1)
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Smart Insights of Mobile Phone
Operators of Bangladesh (2)
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Prediction for Mobile Phone Operators of
Bangladesh
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Smart Insights of Mobile Phone Data
from Twitter
15

Smart Insights of Mobile Phone Brands
of Bangladesh (1)
16

Smart Insights of Mobile Phone Brands
of Bangladesh (2)
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Prediction for Mobile Phone Brand of
Bangladesh
18

Smart Insights of Mobile Phone Data of
Bangladesh
19

Prediction for Mobile Phone Data of
Bangladesh (1)
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Prediction for Mobile Phone Data of
Bangladesh (2)
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Results Gained From Smart Insights
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Suitable Solutions
(1) Services From Grameen Phone, Robi &
Banglalink
(2) Android with Medium price
(3) Symphony, Samsung, Walton, HTC
and finally Apple

Developed Emerging IT Product
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Developed Emerging IT Product with
Smart Insights (1)
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Developed Emerging IT Product with
Smart Insights (2)
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Motivation & Justification
Emerging IT Products Development
Creating online store
Providing shopping cart system
Finding out which problem area (industry)
should be selected
Selecting suitable products for the website
Helps to make decisions
Creates harmless assumptions and peaceful
coexistence
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Recommendations
Create infographics of analysis
Embedded the analysis dashboards on the store
Create real-time surveys to collect more data
Facebook analysis
Sales prediction
Cost estimation
Risk Management
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References
The Global Economy (2015), Title: “Bangladesh Mobile phone subscribers, per 100 people”,
Available at:
http://www.theglobaleconomy.com/Bangladesh/Mobile_phone_subscribers_per_100_people/
Dam.com (2015), Title: “Symphony Mobile Phone Price in Bangladesh”, Available at:
http://dam.com.bd/brand/symphony/28-1?brands=29&st=desktop&formid=filter-
form&curpage=1&perpage=30&brandid=28&catid=1&releasedateactive=true
Zahedul Amin (2015), Title: “Market Insight: The Smartphone Industry in Bangladesh”, Available
at: http://www.lightcastlebd.com/blog/2015/01/market-insight-market-smartphones-bangladesh
BTRC (2015), Title: “Mobile Phone Subscribers in Bangladesh November, 2015”, Available at:
http://www.btrc.gov.bd/content/mobile-phone-subscribers-bangladesh-november-2015
Stephen Arcut (2015), Title: “Drive the success of your next product line with Watson Analytics”,
Available at: https://community.watsonanalytics.com/watson-analytics-use-case-investigating-a-
new-business-line-in-6-steps/
Chris Gruber & Joseph True (2015), Title: “New Video! Watson Analytics for Social Media and
Star Wars – The Force Awakens”, Available at: https://community.watsonanalytics.com/star-wars-
the-force-awakens-and-watson-analytics-for-social-media/
Community Manager (2015), Title: “Using Watson Analytics to discover relationships with energy,
Twitter and the weather”, Available at: https://community.watsonanalytics.com/using-watson-
analytics-to-discover-relationships-with-energy-twitter-and-the-weather/
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