Please find the attached copy for specificationsMicrosoft Word - Written Assessment 3.docx COIT13234...

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Microsoft Word - Written Assessment 3.docx COIT13234 – Semester 1, 2020 Written Assessment: Problem analysis, research and design Due date: Weighting: Length: 11:59pm AEST, Monday of week 9 20% 2,000-2,500 words Details Creating a mobile app is simply the start of the process to becoming an entrepreneur. To scale an application, you need to approach an investor. For example, $5000 per month would be bottom-line spending on social media and advertising. It does not matter if you have working code and how good it is. There are a set of points an investor will require you to address before they will talk money. To better understand this process, this assessment requires you to consider a mobile application that addresses a specific business problem. Having researched and identified a problem, complete the tasks below: • Describe the problem in a clear and concise manner • Research the mobile apps on Google Play store and the Amazon app store (or anywhere else) and find the best three that address this problem (or address some aspect of the problem if that is all you can find). • Critically analyse the strengths and weaknesses of each app • Propose a new app that would present a better solution in terms of its features, and also its design and layout (you may include some rough sketches here – use photos of sketches in your submission document) • What are the points of difference for your solution? • Who is your target market? • How will you reach your target market? Justify your strategies. • What ethical concerns would need to be addressed? Submit a single word document. Insert any images of hand drawn sketches into the document (be careful of large image sizes). Reference all sources you used for the problem identification, analysis and solution. Use Harvard referencing style for your referencing. Written Assessment Criteria Component Out of Mark Problem description – clear, precise, comprehensive 2 Research of existing applications 2 Strengths and weaknesses of existing solutions 2 Quality of proposed improved solution 2 Points of difference 2 Identification of target market 2 Justification for the marketing strategy 2 Ethical concerns 2 Referencing 2 Writing quality 2 Total 20 General Comments Details Written Assessment Criteria

written-assessment-1edkazw3.pdf

J Anitha · Accepted Answer

Call taxi tracker Mobile App
To develop a mobile app for call taxi booking. The application is developed using Hadoop and Big Data. Using the Call taxi tracking app, the user will be able to book a car to reach destination easily. The app will be cost effective and time saving.
Few of the existing mobile app for call taxi booking are as follows:
· UBER
· OLA Cabs
· Lyft
The strengths and weaknesses of the app are studied.
	 Mobile App
	Strengths
	Weaknesses
	UBER
	· It is Organized well
· It has qualified drivers and Cars
· Provides good service
· Adaptable to change
	· It depends highly on the Internet
· Cost is more
· Its Business model is similar to Lyft’s car tracking system
	OLA Cabs
	· It is convenient and simple
· They are cheap
	· Waiting time is more
	Lyft
	· It notifies passengers of the driver’s arrival
· Provides estimated cost in advance
	· Ride fare depends on the time of the day
· Availability of drivers
· Surge pricing
· No scheduling mechanism for drivers
· Always relies on smartphone to book a ride
· Not reliable
· Less Profit
· Less No of drivers
Proposed Systems
Using large data sets of taxi drivers, taxi details, location, the Call taxi tracking system service a taxi to the customer. Its design and features are explained below
Points of difference
It has a large data set of taxi drivers and taxi details. The service request would be attended quickly because of large data set. Through GPS the app determines the traffic and analyze with data to provide good service. The main difference between the existing and the proposed are it gives importance to customers. Providing service to the customers is its utmost goal.  The app stores the details of the customers. So next time when the customer books a car, he is given the highest priority. 
Research and Design of Call taxi tracker App
The data are analyzed and the call taxi tracking Mobile App is implemented using the below technologies.
Data Science 
Data science is a scientific method consisting of processes and systems which are applied in many fields for knowledge and insights. Data are present in the following two forms. Data that have a structure such as relational database or data that are not structured such as a word document. 
Data science is applied in the following domains 
•	Includes Math and Theory such as Statistics, Linear Algebra, Optimization, Time Series etc.
•	Includes Applied Algorithms such as Machine Learning, Data Structures, Parallel Algorithms.
•	Present in Engineering Technologies such as Statistical Tool
•	Involves Domain Expertise in Text, Finance, Images, Economies etc.
•	Includes Art such as Visualization, Infographics
Data Science works with big data, unstructured data combining statistics, analytics and business intelligence. 
Data Science Algorithms discover patterns, predict outcomes, and final optimal solution to complex problems. Insights are obtained from unstructured data. This is useful to business. 
The actual phenomena are analyzed using statistics. Techniques and theories are drawn from various fields such as machine learning, classification, cluster analysis, data lakes, data mining and warehousing, databases and visualization.
The Domain of data science dealing with Big Date are shown below:
Big Data – Big Data are large data sets that have abilities beyond the relational databases. Big Data are used to capture, manage and process the data with low-latency.
Business Intelligence – It is a technology that uses the transformed data and the stored historical data to create reports for Business. It uses a set of methodologies, process, and theories to convert data into valuable information. Business Intelligence enables companies make better decisions.
Business Intelligence has functional operations. For e.g. they are used for reporting, online analytical processing, to perform data analytics, for data mining, to do process mining, for complex event processing.
Business Intelligence is also used to check performance issues, to benchmark, for mining text data, to perform predictive analytics and for prescriptive analytics. 
Business Intelligence are generally used for commercial business activities. It has a larger domain than Big Data
Business Intelligence is used in enterprises to make business decisions from strategic to operational decisions.
Data Analytics - Data analytics and analytics contains a collection of associated methods. They are used by Data analysts to collect, process and perform statistical analysis of data.

Microsoft Word - Written Assessment 3.docx COIT13234 – Semester 1, 2020 Written Assessment: Problem analysis, research and design Due date: Weighting: Length: 11:59pm AEST, Monday of week 9 20%...

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