Discussion Board Data Analytics

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MODULE4DISCUSSIONBOARD.rtf

In this module, you learned about common challenges and problems that business organizations face. For example, "ABC Co. has a problem retaining staff. They need data to determine the root cause and the patterns by which their staff is leaving. The data must be able to be used by office location, department, and job function. The business is also seeking reports to monitor and reduce their monthly and annual turnover rates." As a data analytics professional, you may be tasked with determining what data is required to meet business needs in different settings. It is important to connect with your peers to share best practices. When you share and network, you will gain a better understanding of the different perspectives of the data analytics role. In many industries, professionals use forums to share challenges they face within an organization and ask their peers to lend their knowledge and expertise to help address the challenge or business problem. For your initial post, describe a business problem. The business problem could be a fictional situation, a case study, or a real-world scenario from your own experience or that of someone you know. Your business problem should be 3–4 sentences in length. In your initial post, address the following: Identify the type of organization. Describe the specific problem identified for your organization. Explain why the organization needs the data. Identify what roles or functions in the organization would use the data and why. If you are using an example from a case study or other resource, be sure to cite your source(s) using APA format. You may use the Shapiro Library APA Style Guide to help you. PEER RESPONSES: Review the business problems written by your peers and select two to respond to. In your responses to your peers, address the following: Identify the type(s) of data that might be used to address the business problem. Identify the type(s) of analytics that might be used to address the business problem. To complete this assignment, review the Discussion Rubric. PEER 1 Week Four - Business Problem Justin Subscribe Hello, Happy Tuesday. Kindly find my response to this week's discussion question. Identify the type of organization. The type of organization that I a supporting as a data analytics professional is a fictitious Plumbing Company in the Greenville, SC area metro.  Describe the specific problem identified for your organization. The specific problem that I am trying to solve is to run ads strategic to gaining leads for a particular type of high volume plumbing necessity (i.e. unclog toilets).  The constraints are that the fixes should be able to be solved in the customer's home, with a low rate of needing to go out to the local hardware store for additional supplies, with tasks that are generally under 30 minutes to fix. This would greatly increase the number of customers each plumber could service each week, making the business model more profitable as the particular service was solved at a higher rate. Explain why the organization needs the data. The organization needs this data to break down what services are offered, time spent in customer's home completing the job, cost of job, historical feedback on the quality of work of each plumber (to determine who does what best).  Identify what roles or functions in the organization would use the data and why. This data would be used by Finance, Marketing, and Sales teams.  Finance would determine the profitability of each type of Plumbing job at certain levels of volume serviced customers.  Marketing would fine tune advertisements to cater toward specific lead generations through social media. Sales would take this data and work towards improving closing leads into paying customers, using the data to drive best closing practices. Thank you! Justin S PEER 2 4-1 Discussion: Business Problems Subscribe Greetings! Organization Type: Regional Coffee Shop Chain Specific Problem: The network of coffee shops has shown a consistent drop in foot traffic during the weekdays between 2 PM and 5 PM at several of its sites over the past year. This drop has adversely impacted the revenue for that time slot in mid-afternoon patronage. Need for Data: For the company to comprehend the causes of the downturn, data is required. The company hopes to develop plans to increase foot traffic and revenue during this slow time by examining consumer behavior, purchasing trends, and outside variables. Roles Using the Data: Store Managers would use the data to identify operational inefficiencies at their respective outlets and make necessary adjustments. The Marketing Team would assess the performance of promotions and adjust strategies accordingly. Supply Chain Managers would analyze inventory levels and patterns to optimize stock and reduce wastage. Product Development - Launch or alter more consumer-friendly goods during the designated time window. Senior Management would gain an overview of the chain's performance, enabling data-driven strategic decisions. The drop in foot traffic at a specific time hurts the coffee shop chain's ability to make money. By using data to learn more about why this drop is happening, the company can devise innovative ways to fix the problem. Have a great week! Kristin