FOODMOOD App: Business Plan Project Report - Final Submission

This report details the FOODMOOD app project, focusing on a business plan designed to provide students with food options based on their moods and preferences. It includes a logical data model and a comprehensive data dictionary detailing student information, food preferences, and delivery logistics. The report outlines the app's functionality, including real-time GPS tracking for restaurant and student location, and emphasizes the importance of data acquisition, integrity, retention, and disposal. A summary report highlights the app's potential to cater to students' dietary needs and preferences while minimizing food wastage. The business plan also addresses financial aspects, marketing strategies, and the importance of efficient food delivery. The report also mentions the initial testing phase in the Erie area to gather user feedback and evaluate the app's performance before potential expansion. The document also includes references to support the analysis and data provided in the report.

4.1. Logical Data Model
Figure: Logical data model (1keydata.com, 2019)
4.2. Data Dictionary
Data collected for any sample or for in this case, the purpose of identifying the customers
(students) and their choice of food types as per their moods.
Data dictionary is the collection of such data as given below,
Which student ordered the meal?
Where and when the meal should be delivered?
What dishes and how much quantity are included in the order?
What ingredients we need to fulfill the order?
If the order has already been paid for?

What is the mode of delivery of the food to the student?
We also need to track delivery statuses and record customer feedback about their meal and/or our
delivery process. Plus, maybe we want to know which meals are the most (or least) popular.
Also, should keep some financial information, too, for reporting and analysis purposes. The Data
of this all various factors will have to be integrated together for the purpose of getting the
necessary information in to the system.
This Data dictionary will contain the individual information of each student/customer and shall
give the detailed information about his/her likes, his food preferences, his original country, if
vegetarian, what food is preferable as to what mood , mode of payment, how is the food
generally delivered to this customer/ student etc.
An integrated Data Dictionary with relevant inputs from various sources as per the above criteria
and conditions will make the system and thus the FOODMOOD app to run smoothly and as per
the customer’s requirements.
4.3. Reports
Summary Report
When people move to a different country, they usually start thinking about their new
place, people at that place, their new neighbors and of course, Food. Yes, food and what type of
food will they be getting and how different it would be from their own Home and region.
The app “FOODMOOD” has been developed for the purpose of providing food for students who
have come from different regions of the world. Quality food as per their taste and region at
affordable prices and which will prevent any depression among the students due to non-
availability of their type and choice of food.
The food ordered will depend upon the student’s Mood and their state of mind. Option will be to
choose from a preselected list of the students favorite restaurants. Minimum wastage of food will
be the biggest take away from the result of using this app.
The Business plan will also focus on the important part of delivering the food to the student who
most likely will not have his own vehicle. Efficient and effective thought out financial plan

which will include the marketing and the advertising of the app will form an important part of
this business.
Variety, Price, Taste, Hygiene and Quantity will be the important features of this model. Real
time GPS tracking will help in locating the student and his favorite’s restaurants in the region as
per his mood and personal choices.
Initially the app will be tested locally within the Erie area for judging the response and getting
feedback from the users. After that it can be planned out for an expansion and increasing the area
of operation for the app.
4.4. Data Acquisition, Integrity, Retention and Disposal
Data Acquisition is the collection and accessing of information which most likely will be
a sample for studying. Data Integrity is the maintenance of the information and how the accuracy
and the consistency of the Data is critical aspect of designing a Business and how this Data will
be implemented and used in the system. So in our case, the Student data information is stored in
the system as per their likes, food habits, number of times food is ordered, preferred payment
method etc (Commercient, 2018).
Data that has been collected over a period of time has to be retained for a certain period
of time if it has not been disposed of immediately. This Data Retention and Disposal thereafter
will form a part of the entire system. Students personal details, payment options, food eating
habits, address (as per the delivery notes) etc may have to be retained, maybe until the student is
studying in that region. The sensitive information if it falls to the wrong hands may cause
problems. So the Data Retention/Disposal has to be handed by a proper and trusted person and
which also includes the system.
The “FOODMOOD” app should have a pre-written policy regarding the Data Retention
and disposal policy so that the customers information is not mishandled and it will be used in the
proper way as required by the system for which it was meant to be.

References
1keydata.com. (2019). Logical Data Model. [online] Available at:
https://www.1keydata.com/datawarehousing/logical-data-model.html [Accessed 8 Apr. 2019].
Commercient. (2018). The Importance of Data Integrity for Your Business. [online] Available at:
https://www.commercient.com/the-importance-of-data-integrity-for-your-business/ [Accessed 8
Apr. 2019].