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Instructions: Create a Powerpoint presentation consisting of 20 slides minimum with the attached reference data. 

APA Format

Group Presentation

The stakeholder presentation serves as the bridge between analytics and business decision making.   The presentation provides you with the framework to integrate the course content through a real-life example. 

 

Choose an organization that you are passionate about. Consider how this organization is performing. Are there areas for improvement?  Even the most well-run organizations experience problems.

Now imagine for a moment that your team has been recently hired as analytic consultants for this organization. Brainstorm and come up with 2-3 ideas that that organization may be facing currently. It is your team’s job to investigate why things are happening. For example: Why are sales declining or why do our products sell more during poor weather?

Choose the most appealing idea, and use the rubric below to answer that question for your organization. 

Using the provided rubric, analyze the problem and present your findings. You are expected to integrate relevant models and concepts from assigned readings in your analysis, along with using logic and insights/skills from previous classes and personal experiences.  The presentation should be at least 30 minutes and should not exceed 45 minutes.  Your team should use PowerPoint slides to support your presentation.  Use the Kaltura tool (Links to an external site.) to record a narrated screencast

You should provide sufficient information to capture all the components of the Business Analytics Process. A presentation must include a statement of and background description of the problem; identification of data sources; synopsis of data preparation methodologies used and detailed discussion of the data preparation steps taken; description of and reasoning for the modeling techniques used in analysis; appropriate and detailed visualization of results;  explanation of conclusions,  recommendations, and predictions drawn from each of the three types of business analytics: descriptive, predictive and prescriptive.

Running Head: GROUP PRESENTATION 1

GROUP PRESENTATION 2

Group D Presentation

Michael Blahut, Brian Cooke,Shane Moses

Wilmington University

Statement of and background description of the problem:

· We have 2 current issues, both pertaining to speed of service

· Wawa parking lots can be troublesome, especially during peak hours (typically meal time: breakfast, lunch, dinner)

· During these times SOS can also be an issue in the store with long lines to wait for both food and checkout

· Wawa established its name through customer service so both of these issues, relating to customers, are important to resolve

· *** In this section we can throw in some visual aids and personal experiences with the issue to beef it up a bit and add time to our presentation ***

Data prep methodologies & detailed description data prep steps taken:

· It will be important in this step to research peak hours during the day/night.If we can improve the speed of service during these times, we can solve the issue.

· http://s3.amazonaws.com/Wawa.com/WawaFactSheet.pdf (link to fact sheet about wawa) provides an account for # of yearly customers. This can be used to put into perspective how busy the lines and parking lots can get.

· https://www.statista.com/statistics/1007139/number-of-wawa-fuel-stations-us/ (link to statistics of wawa gas stations). The more gas stations located at wawa there are the busier the parking lots and stores become. This adds to the issue.

· As wawa continues to expand/grow the need for customer satisfaction and speed of service will increase over time

· We will need to answer the question(s) “why are wawa lines so long”?, “why are customers dissatisfied”?

· I am finding it challenging to find any surveys/stats about wawa aside yelp reviews. We should create a survey of some sort to back our recommendation for kiosks/self checkout. Not saying this has to be real, we can make up survey results in our favor based upon us “asking” our family, friends, co-workers, etc.

Description & reasoning for the modeling techniques used in our analysis:

· I think our best bet with this is to use statistics/surveys to analyze the situation. This is probably the easiest and most efficient option we have.

https://www.statista.com/statistics/1007139/number-of-wawa-fuel-stations-us/

As companies expand and develop, process improvements become crucial for the longevity of an organization. If a company is not improving the way it performs processes, it will likely fall behind in competition. Succeeding in today’s business environment means constantly looking for ways to do things better. Continuous improvements in operations can help remove inefficiencies and ultimately improve the productivity of team members.

Wawa is an organization that is constantly growing, with over a chain of over 630 convenience stores including 360 offering gasoline, Wawa stores are located in Pennsylvania, New Jersey, Delaware, Maryland, Virginia and Florida. As the popularity of Wawa has grown, traffic has as well. locations are usually in populated areas and can get crowded often which affects customer satisfaction. Most of the time, the problem is parking lot congestion, especially locations with gas stations. In addition, parking lot congestion affects the flow of the store, which causes long lines because of the volume of customers.

As stakeholders we are challenged with creating a change management plan to improve the flow of the parking lot and eliminate long wait times when waiting to check out. First, we analyze the data by looking at “peak times” during daily operations.

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Sheet1

Customers Per Hour Time
20 7:00 AM
45 8:00 AM
55 9:00 AM
50 10:00 AM
60 11:00 AM
67 12:00 PM
49 1:00 PM
44 2:00 PM
45 3:00 PM
32 4:00 PM
55 5:00 PM
50 6:00 PM
48 7:00 PM

Time vs. Customers Per Hour

Time 20 45 55 50 60 67 49 44 45 32 55 50 48 0.29166666666666669 0.33 333333333333331 0.375 0.41666666666666669 0.45833333333333331 0.5 0.54166666666666663 0.58333333333333337 0.625 0.66666666666666663 0.70833333333333337 0.75 0.79166666666666663

Customers Per Hour

Time