Categories
Data Analytics

“Interactive Tactical Crime Analysis Dashboard for LAPD Division”

I have the data and power BI but will send u after selection. for this assignment I need to create interactive dashboards for tactical crime analysis focused on an LAPD division. This includes four main components. First, the Crime Overview Dashboard will summarize crime trends, types, and geographic distribution within the division, featuring interactive visuals and maps. Second, the Repeat-Incident Analysis Dashboard will identify addresses with multiple incidents, using tables and maps to display these locations and their details. Third, the Serial Incidents Dashboard will analyze potential serial crimes using spatial techniques like buffer zones, visualized on maps. Finally, the Weekly Crime Bulletin Dashboard will provide a recent summary of crime incidents for street-level officers, including filters for specific reporting districts. The goal is to create a comprehensive and dynamic analytic report to inform law enforcement practices.

Categories
Data Analytics

“Enhancing Marketing Strategies: A Comprehensive Analytics and KPI Project for AIU” “Maximizing Marketing Impact: The Use of Analytics and KPIs in Top Consulting Firms”

Project Summary:
As an intern in the Marketing Department at AIU, you will undertake a critical capstone project that focuses on creating a comprehensive set of analytics and Key Performance Indicators (KPIs) for our marketing efforts. This project will encompass all social media channels, our website, and visitor information, providing valuable insights to inform strategic decision-making and enhance our marketing strategies.
Objectives:
Develop Advanced Analytics: Implement cutting-edge analytics techniques to gather and analyze data from various marketing channels.
Use statistical and machine learning methods to derive actionable insights.
Create KPIs: Define and develop KPIs that align with the university’s marketing goals and strategic plan.
Ensure KPIs are specific, measurable, achievable, relevant, and time-bound (SMART).
Provide Business Use Cases: Demonstrate how the analytics and KPIs can be used to inform strategic decisions in both the Marketing and Admissions departments.
Include examples and case studies from leading consulting firms on how they utilize marketing and social media data.
Instructions:
Data Collection and Integration: Collect data from all social media channels (Facebook, Twitter, Instagram, LinkedIn, etc.), the university website, and visitor information.
Ensure data is clean, accurate, and comprehensive.
Analytics Framework: Develop a robust framework for analyzing the collected data.
Utilize tools such as Google Analytics, social media analytics platforms, and advanced statistical software (e.g., R, Python).
KPI Development: Identify key areas of performance to measure (e.g., engagement, reach, conversion rates).
Create detailed definitions and calculation methods for each KPI.
Ensure KPIs reflect the goals of enhancing brand awareness, increasing student enrollment, and improving engagement with stakeholders.
Strategic Insights: Use the analytics to provide insights into current performance.
Develop predictive models to forecast future trends and outcomes.
Suggest actionable strategies based on the insights derived from the data.
Reporting and Visualization: Design dashboards and reports that effectively communicate the KPIs and insights to stakeholders.
Use data visualization tools (e.g., Tableau, Power BI) to create intuitive and interactive reports.
Examples and Case Studies: Include examples of how top consulting firms utilize similar analytics and KPIs in their marketing strategies.
Provide sample data and calculations to illustrate the application of your proposed KPIs.
Key Performance Indicators (KPIs):
Engagement Rate: Definition: The percentage of people who interact with your content out of the total number of people who viewed it.
Significance: Measures how effectively content is resonating with the audience.
Calculation: (Total Engagements / Total Impressions) * 100
Conversion Rate: Definition: The percentage of users who take a desired action after engaging with your marketing content.
Significance: Indicates the effectiveness of your content in driving actions like registrations, sign-ups, or applications.
Calculation: (Conversions / Total Clicks) * 100
Reach: Definition: The total number of unique users who have seen your content.
Significance: Helps assess the potential audience size and the effectiveness of content distribution.
Calculation: Unique Impressions
Website Traffic: Definition: The number of visits to the university website.
Significance: Indicates the overall interest in the university’s online presence and the effectiveness of marketing campaigns.
Calculation: Total Visits
Bounce Rate: Definition: The percentage of visitors who leave the website after viewing only one page.
Significance: Helps identify the quality of website content and user experience.
Calculation: (Single Page Visits / Total Visits) * 100
Average Session Duration: Definition: The average amount of time users spend on the website per visit.
Significance: Indicates the level of engagement and interest in website content.
Calculation: Total Duration of All Sessions / Total Sessions
Click-Through Rate (CTR): Definition: The percentage of people who click on a link or advertisement out of the total number of people who viewed it.
Significance: Measures the effectiveness of calls to action and content attractiveness.
Calculation: (Total Clicks / Total Impressions) * 100
Follower Growth Rate: Definition: The percentage increase in followers on social media channels over a specific period.
Significance: Reflects the growth of the audience and the effectiveness of content in attracting new followers.
Calculation: ((End Period Followers – Start Period Followers) / Start Period Followers) * 100
Social Share of Voice (SOV): Definition: The percentage of conversations about the university compared to the total conversations about competitors.
Significance: Measures the university’s brand presence and competitiveness in the market.
Calculation: (University Mentions / Total Mentions of University and Competitors) * 100
Customer Satisfaction Score (CSAT): Definition: The average score of customer satisfaction surveys.
Significance: Reflects the overall satisfaction of stakeholders with marketing efforts and content.
Calculation: (Sum of All Scores / Number of Respondents)
Examples and Case Studies:
Deloitte: Utilizes advanced analytics to drive personalized marketing campaigns. They focus on segmentation, targeting, and real-time data analysis to optimize engagement and conversion rates.
PwC: Implements predictive analytics to forecast market trends and customer behavior, helping clients to make informed strategic decisions.
EY: Leverages social media sentiment analysis to gauge public perception and adjust marketing strategies accordingly.
KPMG: Uses KPI dashboards to monitor and report on the effectiveness of digital marketing campaigns, ensuring alignment with business objectives.
Accenture: Employs machine learning algorithms to analyze customer data, providing insights that enhance marketing efficiency and effectiveness.

Categories
Data Analytics

“Creating a Frequency Distribution with 13 Classes”

Frequency distribution homework
Constructing Frequency distribution Constructing Frequency distribution with 13 classes

Categories
Data Analytics

“Interpreting Data for Business Decision Making: A Presentation to the Organization” “Graphical Representations of Data in Business: A Comparative Analysis of Two Articles”

Introduction
Business administrators and managers are often called upon to interpret data that analysts have provided to them. This requires an understanding of the data sources (when, where, and how data is collected; formatted or stored; and used), as well as what that data looks like and how it can be summarized. In this first assessment, you are asked to locate any report or periodical article used in a business context of interest to you that contains at least two different graphical representations of data. You will interpret the graphical data representations and present your findings in a brief PowerPoint deck, as if you were presenting during a company meeting.
In this assessment you will learn about the collection, formatting, and use of raw data, as well as graphical and tabular methods for summarizing it. You will also get started with the technology that you will use in this course: Microsoft Excel (including the Data Analysis ToolPak add-in).
Scenerio
You have been invited to present at a departmental meeting with employees from all levels within the organization. You have been allotted 6-10 minutes to speak.
Your role
The purpose of your speech is to explain the business context as well as two charts or tables that you have evaluated as a business analyst of the organization.
Your business report to the group will be a slide presentation with speaker notes and appropriate citations and references.
Instructions
Complete the following:
Article Identification. Use one of the articles listed under Article Options subheading below or find an article in Forbes or other business journal or an annual report from a publicly traded company that includes at least two data graphs or tables.The graphs should depict or represent data using pie charts, bar charts, tables, scatter plots, trend lines, et cetera.
Read the article and identify the business context. Business context includes organizational history, mission, product and services, environment, competitive advantage, competition, et cetera. You can also determine business context from additional sources (and you should).The company or organizational background information should help explain why the data are relevant. This will be the introductory information for your business report, presentation, or assessment.
Interpret your chosen data representations in the context of the business situation. The following are typical questions an analyst would use to interpret the data:What is being measured (the variables)?
What are the relationships among the variables?
What are the trends in the data?
How can the data be applied in the business context?
Create an effective 6-10 slide PowerPoint deck with detailed presenter’s notes (including citations and reference slides) elaborating on each point that will be presented at a departmental meeting. For example:Organization/business context.
Relevance/importance of information.
Source of data set and any limitations?
Graphic of data 1 – with interpretations of graph.
Graph of data 2 – with interpretations of graph.
Importance of data analysis in terms of business context.
Summary.
Reference slides.
An effective PowerPoint presentation for this purpose typically includes:
One title slide, APA formatted.
1-2 introduction slides explaining the business context.
Several slides. You should copy and paste (insert) the graphs or tables and include an appropriate citation. Each slide should include detailed speaker notes.
Several slides. Include your interpretation of each graphical data representation.
Conclusion slides in which you explain how the data may affect the business context or how it could be applied in your business context to inform decision making.
Slide with at least four APA-formatted references, including the source of each graph.
Article Options
For this assessment, you will need to choose among business articles from periodicals, annual reports of publicly traded companies, or published business reports to find two graphical representations of data.
A list of appropriate articles has been compiled for this assessment. You may select one of the articles from the following list or find your own suitable business article containing two graphical data representations.
Huang, N. S. (2019). Investing: The best funds for your 401K. Kiplinger’s Personal Finance, 73(12), 18-29.
Reacting to market volatility. (2020). Kiplinger’s Personal Finance, 74(2), 54-55.
Taxpayers weigh in on the new tax law. (2020). Kiplinger’s Personal Finance, 74(3), 50-51.
Woodley, K. (2020). A holistic bet on housing. Kiplinger’s Personal Finance, 74(2), 31.
Decarlo, S., Elam, D. G., Smyth, K., Agus, S., Austin, C., Hackett, R., Kowitt, B., Lashinsky, A., Lev-ram, M., Nusca, A., O’keefe, B., Roberts, J. J., & Wieczner, J. (2017). 100 fastest-growing companies. Fortune, 176(4), 157-163.
Growing, growing… gone! (2016). Forbes, 197(5), 28.
Lim, P. J. (2018). The 50 best mutual funds and 50 best ETFs. Money, 47(1), 86-91.
Meet the world’s richest. (2016). Forbes, 197(4), 26-27.
Salisbury, I. (2018). How we got here. Money, 47(1), 52-57.
Sorvino, C. (2016). Dollar days. Forbes, 197(4), 28.
Additional instructions
Your written communication should be free of errors that detract from the overall message, meet APA standards, and be unbiased with documented facts rather than opinion.
Remember to use and include at least four sources of information for your presentation.
Evaluation
By successfully completing this assessment, you will demonstrate your proficiency in the following course competencies through corresponding scoring guide criteria:Competency 1: Explain how data management techniques and tools are used to support business decisions.Introduce the business context.
Explain how the data can be applied to the business context.
Competency 4: Present the results of data analysis in clear and meaningful ways to multiple stakeholders.Interpret, or explain the meaning of, the two different graphical representations of data.
Correctly format citations and references using current APA style.
Present content clearly, professionally, and logically for the identified audience.

Categories
Data Analytics

“Data Analysis and Visualization using MS Excel”

You can do it manually or may use MS Excel to solve the questions. You need to save it as a PDF file.

Categories
Data Analytics

Title: “Solving the Problem of Inadequate Healthcare Access for Low-Income Communities Using the 4Ps Method”

1. Define the PROBLEM (in one or two sentences). In this definition make sure it is clear whose problem it is, and why it is so important that somebody should worry about it. If there are several problems in the case, you must either choose the most important one or define the problem broadly so that the sub-problems are part of it. This is the most important part of the analysis, since you must aim at the right target in order to hit it.
2. Define the METHOD. (4Ps Methode) In one or two sentences explain what method you are going to use to solve the problem. A method could be interest arbitrage to pick the best investment, or hedging techniques to find the least-cost hedge, or some other theory or technique. The method is NOT the solution to the case.
3. Do the ANALYSIS. In this section, use most of your 1000 words to solve the problem. This should be reasonably easy, since you have already defined the problem carefully and told me what method you are going to use to solve it.
4. Draw some CONCLUSIONS. This may be a final paragraph in which you emphasize your solution to the problem and why it is best.

Categories
Data Analytics

Earned Value Management Analysis for Project XYZ

You are a project manager on a project that uses earned value management. The project has the following budget and status:
Project Duration (months):
14
Current Reporting Period (month):
6
BAC:
$387,000
Cumulative PV:
$68,345
Cumulative AC:
$78,379
% of the project completed through the reporting period:
19%
Estimate to Complete:
$294,677
Part 1:
Based on this information, determine the following:
Cumulative EV
Schedule Variance (SV)
Schedule Performance Index (SPI)
Cost Variance (CV)
Cost Performance Index (CPI)
EAC (bottom-up)
VAC (bottom-up)
TCPI
Based on your calculations above, respond to the following:
What is the status of project accomplishment performance through the current reporting period? Why?
What is the status of project cost performance through the current reporting period? Why?
Is the project projected to complete overbudget or underbudget? Why?
Interpret the TCPI metric.
Part 2:
Based on your calculations above, an inexperienced and arrogant project analyst from the project management office has computed an additional metric: Cost Schedule Index, which equals SPI * CPI. He wants you to report this metric to the customer, instead of SPI and CPI separately. What should you do and why?
The program manager doubts your numbers. In particular, he does not believe your EAC number and requests that you calculate the EAC not assuming future performance will behave like past performance.
Compute EAC when cost performance is negative and schedule dates must be met: EAC = AC + [(BAC – EV) / (CPI × SPI)]
Compute EAC using actual costs to date and assuming ETC uses budgeted rate: EAC = AC + (BAC – EV)
Interpret the results of the EAC in a.
Interpret the results of the EAC in b.
Based on these new calculations, what do you think the program manager will request from you regarding the bottom-up EAC?
Part 3:
You are having a hallway conversation with the same project analyst who is now realizing that he may not know as much about earned value management as he thought when he joined the company. Still, he is convinced that the following statements below are correct. How would you respond to him based on each statement (i.e., formulate a specific response and supporting rationale for each statement below)?
EAC becomes Cumulative AC at project completion.
Cumulative EV can be greater than BAC at project completion.
EAC can be smaller than BAC at project completion.
ETC can be greater than 0 at project completion.
Submit an MS Excel file showing your completed calculations and including your responses to the indicated question

Categories
Data Analytics

“Proposing Innovations: Enhancing a Product or Proposing an Environmental Initiative”

GB512-4: Create presentations that achieve a defined business purpose.
In this assignment, you will do some research on a product or service or an environmental initiative. Then, you will create an original presentation following the instructions below.
Checklist:
1) Prepare a Microsoft® PowerPoint® presentation with audio of no fewer than 12 and no more than 15 slides with speaker notes, and 3–4 bulleted points per slide, summarizing either:
An improvement to an existing product or service you have envisioned in the role of a product specialist at a company. You will present to the parent company’s marketing and sales department manager that produces the product or service.
OR
An environmental initiative you would like to propose to your local town council for consideration. It can concern air quality, waste recycling, water quality, mitigation of embankments or lake areas to prevent floods, etc.
2) Any short citations and a references slide must follow APA 7th edition format and citation style.
FOLLOW ATTACHED RUBRIC

Categories
Data Analytics

“McDonald’s Worldwide Expansion: A Data-Driven Analysis”

The scope of the material investigation is McDonald’s, from 2008 to 2023, how many stores it opened, what its scale is, why it can be so large, why it chooses to open in a certain place, and McDonald’s annual report. The core content is to use various data to analyze why we can achieve the scale we have today.
Assessment tasks
McDonald’s is the world’s largest restaurant chain by revenue, serving more than 69 million customers daily at 37,855 stores in more than 100 countries as of 2018. While McDonald’s is best known for its hamburgers, cheeseburgers, and French fries, they feature chicken products, breakfast items, soft drinks, milkshakes, wraps, and desserts. You are a data solution
Limited’s consultant, the line manager has asked you to conduct a detailed investigation of McDonald’s expansion around the world for a local newspaper.
Using the government-based data set provided, you will design a 2000-word report that provides insights into McDonald’s world expansion.
You will use secondary data retrieved from ONS for analysis. Your data will be analyzed using appropriate software packages (i.e. SPSS/NVIVO/Tableau/Excel) and visualized for easy interpretation. You will need to support your data set with insights from other selected sources of information and present it in a format suitable for an expert rather than a specialist audience.
Your report should cover the following points
1. A brief review of the literature on the topic
2. Review data sets and their impact on strategic leadership
3. Data analysis and visualization of datasets to provide insights using appropriate statistical packages (i.e. SPSS/NVIVO/Excel/Tableau) 4. Evidence of training completed on Linkedln Learning (SPSS, Tableau and NVIVO certificates provided in Appendix screenshot)
The report should be in a paged report format and include the following:1. Title page 2. Abstract 3. Introduction 4. Findings and analysis 5. Conclusion 6. Recommendations 7. Quotes 8. Appendix

Categories
Data Analytics

“Exploring R for Data Science: Discussion Questions”

Questions based on the textbook Please mark the order of each question when answering the questions.
https://r4ds.hadley.nz/