The final project for this course is the creation of a data analytics project proposal that addresses an issue or opportunity from the scenario and data set(s) you chose in Module One that leverages data analytics, evaluates the current use of data, and highlights recommended tools with the ultimate goal of improving business value. For this milestone, submit the introduction portion of the final project (Part I). Specifically, the following critical elements must be addressed: I. Introduction A. Background: Describe the context and environment of the organization and analyze how the company is currently leveraging data analysis and analytics tools to make decisions. B. Data Sources: Evaluate the data sources the organization is currently using for their benefits and limitations in meeting the goals the data is currently being used for. In other words, is the currently used data appropriate for its current usage? Why or why not? C. Data Needs: Analyze the various sources of data available to the organization or the data the organization could potentially begin collecting that could add business value. In other words, what data (existing or potential) could provide a benefit to the organization you chose to focus on, and how? D. Data Analytics Initiative: How can you exploit data analytics to add business value or uncover new opportunities? Identify the opportunity for a data analysis initiative that could provide additional business value to the organization, and explain. (You do not necessarily have to solve a problem or fill a gap within the organization. Instead, you could identify a new initiative that improves or adds valuable insight or information to the organization for decision making.) Guidelines for Submission: Milestone One should be submitted as a formal report or presentation, as chosen in Module One. Make sure to address all of the critical elements in the prompt. Remember, if you chose to submit a formal report, the document should use double spacing, 12-point Times New Roman font, and one-inch margins. If you chose to submit a presentation, make sure you are able to submit a video file, audio file, or accompanying speaker notes in addition to your slides. Also note that your instructor plays the role of upper management in this final project scenario. No matter what type of submission you select, you must cite your sources in APA format.

In this assignment, you will design the AddNode and AddEdge methods for the supplied graph data structure.The AddNode and AddEdge methods are to support the construction of undirected (bi-directional) graphs.That is if node A is connected to node B then node B is also connected to node A. In addition to the AddNode and AddEdge methods, create a method called BreadthFirstSearch that accepts a starting node and performs a Breadth First Search of the graph.The algorithm for the breadth first traversal is provided below. Add a node to the queue (starting node) While the queue is not empty, dequeue a node Add all unvisited nodes of the dequeued node from step 2 and add them to queue 4. End While Demonstrate your methods by creating the graph depicted in Figure 1 below and running the Breadth First Search on the graph using 0 as the starting node. Figure 1 You may use C++ or C#, to implement this program as long as the following requirements are met.A C++ or C# project must be created using Visual Studio 2019. The entire project must be submitted as a single ZIP file that contains the project folder, source code, and documentation.

There is a web advertising company that collects users' data every time they click on a website, post a message on a social app, send an e-mail, or do any online searching. This data is then sold to companies so that they can use it to send customized advertisements to potential customers.The exercise equipment company you work for is given access to this data, and you are asked to create association rules to identify future customers who are likely to buy the company's new exercise product.After performing association rules analysis, you discover certain patterns that are very accurate in predicting the likelihood that a customer will buy the new exercise equipment. This discovery is likely to make your company a lot of money and also make you an analysis superstar at your company. At the same time, you realize the web advertising company has been collecting its data using inappropriate, albeit not illegal, means. Even though most consumers realize their online activities are tracked without their express permission, do you consider this ethical? Does the fact that the product the exercise company wants to sell is one that can benefit the customer? Justify your opinions with specific business examples.