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Jaypee Institute of Information Technology *
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Course
2156
Subject
Information Systems
Date
Nov 24, 2024
Type
docx
Pages
6
Uploaded by ChefCrownStork26
You
Deliverable 1. Research Report (10%)
Required components of Deliverable 1.
You will be required to provide a one page summary report addressed to TPS that provides an
overview
of the content and findings of your overall submission. You’ll be expected to use an appropriate
report
writing format and include properly cited references to external resources.
Your summary report is to be addressed to:
Ian Williams
Manager, Analytics and Innovation
Toronto Police Services
Although all submissions will be graded, only a select few will be invited to present their findings
directly
to Ian Williams of Toronto Police Services. (Yes, Ian is for real, however for the purposes of this
project
all communications and submissions will be made directly to your course instructor. At the
instructor’s
discretion, a select few submissions may be invited to make an actual presentation to TPS. For
more
information about the public safety data portal click here)
Submit your Executive Summary Report as an attached word file called
XX_Assignment_3_Part_1_Executive_Report_.doc where XX is replaced by your assigned group
number (or first and last initials for non-group assignments).
ChatGPT
ChatGPT
Certainly! Below is an example of an Executive Summary Report for your assignment. Please
note that you should tailor this based on the specific content and findings of your project.
[Your Name/Group Number]
[Your University or Organization]
[Date]
To: Ian Williams
Manager, Analytics and Innovation
Toronto Police Services
Subject: Executive Summary Report on [Your Project Title]
Dear Mr. Williams,
I am pleased to present the executive summary of our research project titled "[Your Project Title]"
for the Toronto Police Services (TPS). This report provides an overview of the content and key
findings of our submission.
1. Introduction:
The research focused on [briefly describe the background and objectives of your project]. The
primary goal was to [state the main purpose of your project].
2. Methodology:
Our team employed a rigorous methodology that involved [briefly describe the research methods,
data collection, and analysis techniques used]. The approach was chosen to ensure the accuracy
and reliability of our findings.
3. Findings:
Key findings from our research include [highlight the main discoveries or insights gained from
your project]. These findings are crucial for [explain how the findings contribute to the objectives
of the project or address the identified issues].
4. Recommendations:
Based on our findings, we recommend [provide concise recommendations or actions that TPS
can take]. These recommendations aim to [explain the intended impact and benefits of
implementing the suggested actions].
5. Conclusion:
In conclusion, our research has provided valuable insights into [summarize the main takeaway
points]. The recommendations presented aim to enhance [mention the specific aspects of public
safety or analytics addressed by your project].
6. References:
We relied on various external resources to inform our research. All references are properly cited
in the attached document.
We appreciate the opportunity to contribute to TPS's mission in enhancing public safety through
analytics and innovation. We are confident that our findings and recommendations will be
valuable in advancing the goals of Toronto Police Services.
Thank you for considering our research, and we look forward to any potential discussions
regarding our findings.
Sincerely,
[Your Full Name]
[Your Position/Title]
[Contact Information]
Remember to replace the placeholders with the relevant information from your project.
You
The Toronto Police Services (TPS) has been collecting data on the incidence of a range of bike
thefts and
recoveries over the past several years. The bike riding members of the public have been
complaining
about the high rate of bike theft in the city and have been pressuring Toronto Police Services to
dedicate
more police officers towards more effort in investigations and recoveries of stolen bicycles. The
TPS
understands that GBC students are awesome at using the data analysis and visualization
features within
Excel to help gain further insights into their data. They have enlisted your services to help them
get to a
better understanding of what’s going on with bike thefts in Toronto and have requested your help
with
the following objectives.
Firstly, they would like you to perform an exploratory data analysis of their data to help better
identify a
number of patterns in the data. For example, what are the trends in thefts over time? How are we
doing in terms of recoveries of stolen bikes over time? Are there any seasonal patterns to bike
theft?
Are there particular neighborhoods or types of bikes that are most at risk of being stolen? Using
the
available data, including all the various types of charts and graphs within Excel, develop a series
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of
charts, graphs and tables that can tell a story about what’s going on.
Secondly, the senior leadership would like you to design some type of more summarized,
interactive
dashboard (using either Pivot Tables/Charts with slicers, or PowerBI) that is easy to use and
understand
and will allow them to see at a very high level how the bike theft situation is going. Your job
would be to
design a set of key performance measures that can be easily visualized and interacted with,
allowing the
senior management team to gain a quick understanding of how things are going.
TPS would like you to use the information from the exploratory data analysis to develop some
analysis
to help them better understand how to assign investigative police officers to work on bike theft
investigations. Ideally, they would like a what if analysis model that would allow them to play with
inputs such as assumptions and decision variables, such as the number of police officers they
should
deploy. Your model must relate these decision and performance factor inputs to desired outputs
or
benefits. Once you’ve developed a baseline model they would like to see examples of various
What if
style analysis (i.e. Scenarios, Data Tables, Goal Seek, Solver, etc.) where they can look at
modifying input
decision variables (such as number of investigative officers deployed) to see the corresponding
impacts
on the benefits (i.e. in terms of recovered bikes). Basically they want a tool where they can
modify
various decision or input assumptions and determine a better number of investigators to deploy
that
satisfies the public’s interests and stays within their constraints.
please do it my according to my case study
ChatGPT
ChatGPT
Certainly! Based on the provided case study, let's create an executive summary report addressing
the objectives outlined by the Toronto Police Services (TPS).
[Your Name/Group Number]
[Your University or Organization]
[Date]
To: Ian Williams
Manager, Analytics and Innovation
Toronto Police Services
Subject: Executive Summary Report on Bike Theft Analysis
Dear Mr. Williams,
I am pleased to present the executive summary of our exploratory data analysis and modeling
efforts to address the concerns regarding bike theft in Toronto, as commissioned by the Toronto
Police Services (TPS).
1. Exploratory Data Analysis:
Our analysis began by examining historical data on bike thefts and recoveries. Key findings
include:
●
Trends Over Time: A comprehensive analysis of thefts and recoveries over several years
reveals notable patterns. [Include charts/graphs showcasing the trends over time.]
●
Seasonal Patterns: We identified seasonal variations in bike theft, providing insights into
when increased vigilance may be required. [Include relevant charts/graphs.]
●
Geographic Analysis: Certain neighborhoods demonstrate a higher susceptibility to bike
theft. This information can guide resource allocation for preventative measures. [Include
a geographic visualization, such as a map with highlighted areas.]
2. Interactive Dashboard:
To facilitate high-level insights, we designed an interactive dashboard using PowerBI. Key
performance measures include:
●
Overall Bike Theft Situation: A summarized view of total thefts, recoveries, and the
current status, allowing quick assessments.
●
Neighborhood Risk Heatmap: An interactive heatmap showcasing areas with higher theft
rates, aiding in resource prioritization.
●
Seasonal Trends: Visualizations highlighting seasonal variations to enhance
preparedness.
3. Investigative Resource Allocation Model:
Utilizing data-driven insights, we developed a what-if analysis model to optimize investigative
resource allocation. Key features include:
●
Decision Variables: The model allows adjustments to key decision variables, such as the
number of investigative officers deployed.
●
Benefits Analysis: Outputs provide a clear understanding of the potential benefits in
terms of recovered bikes based on different deployment scenarios.
●
What-If Scenarios: Using tools like Solver, Goal Seek, and Data Tables, TPS can explore
various scenarios to find an optimal balance between investigative resources and public
interest.
Our goal is to empower TPS with a dynamic tool that allows continuous refinement of
investigative strategies based on changing conditions and priorities.
Thank you for entrusting us with this critical analysis. We are open to further discussions and
refinements based on your feedback.
Sincerely,
[Your Full Name]
[Your Position/Title]
[Contact Information]
Make sure to incorporate the specific findings, visualizations, and details from your analysis into
the executive summary, and tailor the language to match the tone and specifics of your work.
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