https://youtu.be/1WJT-ckF6PU
Still confused about the math? Luckily, Canvas has a neat feature on your Grades page. You can enter your own grades (like, what would happen if you skipped X discussion or got a 70 on an assignment?).
You will need to watch at least two videos (for the assignment) from this link:
https://www.samford.edu/departments/academic-success-center/how-to-study
and you’ll need to know about SMART goals. Here’s a helpful website!
https://itsallyouboo.com/examples-of-smart-goals-for-college-students/
Attached is the form you must complete. The first part is asking for my grades , i will complete that portion. Please complete the rest
Informative Speech Template Outline Introduction (Approximately 30 sec-1min.) Attention Getter Background and
Informative Speech Template Outline
Introduction (Approximately 30 sec-1min.)
Attention Getter
Background and Audience Relevance
Speaker Credibility
Thesis
Preview of Main Points
Transition to first main point (You must have a transition sentence here)
Body (Approximately 2-3 min)
Main Point 1:
Sub point 1
Sub point 2
Transition to second main point (You must have a transition sentence here)
Main Point 2
Sub point 1
Sub point 2
Transition (signpost, summary, preview) (You must have a transition sentence here)
Main Point 3
Sub point 1
Sub point 2
Transition and signal closing (You must have a transition sentence here)
Conclusion (Approximately 30 seconds-1 minute)
Restate Thesis
Review Main Points
Memorable Closer
REFERENCES
Your sources include in your outline should be in APA format
References
Smith, personal communication, September 5, 2016.
Culture. (n.d.). In Oxford English Dictionary online. Retrieved from http://www.oxforddictionaries.com/us/definition/american_english/culture
George Mason University. (2015). Quick facts 2014-2015. Retrieved from http://irr.gmu.edu/QuickFacts/QuickFact201415_Final.pdf
Imahori, T. T., & Cupach, W. R. (2005). Identity management theory. In W. Gudykunst (Ed.), Theorizing about intercultural communication (pp. 195-210). Thousand Oaks, CA: Sage.
Leeds-Hurwitz, W. (1990). Notes in the history of intercultural communication: The foreign service institute and the mandate for intercultural training. Quarterly Journal of Speech, 76(3), 262.
Leeds-Hurwitz, W. (2009). NCA’s First International Conference a Great Success!. Spectra, 45(9), 10.
Moon, D. G. (2002). Thinking about “culture” in intercultural communication. In Martin, J. N., Nakayama, T. K., & Flores, L. A. (Eds.), Readings in intercultural communication: Experiences and contexts (2nd ed.) (pp. 13-21). McGraw-Hill Humanities/Social Sciences/Languages.
Orbe, M. P. (1996). Laying the foundation for co-cultural communication theory: An inductive approach to studying “non-dominant” communication strategies and the factors that influence them. Communication Studies, 47(3), 157-176.
Data visualization using SAP ANALYTICS CLOUD Nitin Kalé, University of Southern California
Questions about weighted grades and how they work? Check out this video on How Weighted Grades Work: https://youtu.be/1WJT-ckF6PU Still Psychology Assignment Help Data visualization using SAP ANALYTICS CLOUD
Nitin Kalé, University of Southern California
Nancy Jones, San Diego State University
Objective
Use data visualization to analyze ERP simulation game data using SAP Analytics Cloud.
Activities
Import and prepare data
Perform data cleansing and harmonization
Create data visualizations
Share results as a slide show / storyboard
Software Prerequisites
SAP Analytics Cloud
UCC Products Required
None
Data Required
ERPSIM dataset is available in ERPSIM_E7_1.xlsx
Scenario
Many courses at SAP University Alliances member schools use ERP Simulation Game (ERPSIM) to introduce students to the role of integrated business processes using a business simulation game. This game simulates a commodity market wherein teams have to plan, procure, produce and sell products in a competitive environment. The goal is to strategize and run their company for profit maximization. The game is played in the SAP ERP system while an external simulator simulates the dynamic market and all the variables that influence the game. This exercise can be used during or at the end of the game to analyze game data. To learn more about ERPSIM, go to erpsim.hec.ca
Data Visualization
The human visual system has evolved to be particularly good at recognizing patterns. Data visualization has become a standard analytical tool which capitalizes on the ability of humans to recognize patterns within massive quantities of multi-dimensional data generated by business information systems. Many scientific studies have led to the creation of visualization models that utilize human perception and cognition.
When the number of dimensions is small, we can use standard graphing techniques for visualization e.g. bar charts, line charts, histograms, pie charts and scatter plots. In this exercise, you will use basic visualization techniques to analyze ERPSim data.
What is ERPSIM?
The ERPSim game is played by teams over several rounds (up to 12 rounds of 20 virtual days each). The teams sell up to 12 products that the market consumes. The products are all muesli cereal in various flavors and box sizes. The teams must forecast demand, run MRP, procure, produce, price and market their products for sale.
Figure 1 shows the entire cash-to-cash cycle in the game. The transactions in bold are decision points that teams must make and execute. They are considered strategic in nature. The transactions that are gray are considered operational in nature. They are automated by the simulator. Additionally, teams can run analytical reports at various points in the game to monitor and strategize.
Figure 1: Cash-to-cash cycle
Data from an actual game have been extracted from SAP ERP and stored in an Access database. Then queries have been written to report important findings. The results have been exported to Excel.
Data Visualization for ERPSIM
You will now use SAP Analytics Cloud to acquire ERPSim game data, and to visualize and discover any interesting trends.
Create a trial account for SAP Analytics Cloud at https://www.sapanalytics.cloud/.
Import the ERPSim data in the Excel file ERPSIM_E7_1. You should have 6,558 rows of data.
Choosing measures and dimensions
What is a measure? A measure is a field on which calculations can be made. These are fields of business interest for analytics. e.g. revenue, profit, quantity sold. The calculations can sum, min, max, average, count etc. Measures are also called key figures or facts.
What is a dimension? A dimension is reference information about a measure. It provides context for the measures; such as, customer, time, product. Revenue by customer is an example of how you would report a measure by a dimension.
Since the values in Round, Day, Distribution Channel, and SalesOrder are numeric, SAP Analytics Cloud has incorrectly identified them as measures.
Hover your mouse over Round, click on the “…” at the end and select “Change to Dimension. Repeat these steps for Day, Distribution Channel, and SalesOrder.
You are now ready to manipulate and visualize these data.
From the hamburger menu on the top left, select Create->Story->Report.
Several charting options are available for visualization – bars, lines, pies, geographic, scatter/bubble, maps, radar, tag cloud etc.
Using the appropriate charting technique, answer the following questions.
You will be creating a storyboard of all your visualizations so be sure to save each one. Remember, you can do that by clicking on the plus sign at the bottom of the visualize page.
Question 1: Which team had the highest revenue? What was the revenue?
Question 2: What product had the highest revenue? What was the revenue?
Question 3: Display the trend of revenue over rounds for each team.
Question 4: What is the market share of each team by product?
Hint: Use a stacked bar chart or a trellised pie chart
Question 5: Are there any products that don’t sell in specific distribution channels?
Hint: Use a heat map.
Question 6: What were the highest prices paid for various products per team? Which team sold the most expensive Muesli?
Question 7: Which team sold the most quantity of muesli? For that team, what was the most sold product?
Hint: Use a Bar/Column Chart. Measure – Quantity, Dimension – Team. Right click on team with highest quantity to filter then add Dimension: Product.
Question 8: What three products have high price and high revenue? _______
Hint: Use a Bubble chart. Measures: Y-axis: Quantity. X-axis: Price. Dimension: Product, Bubble Size: Revenue.
Question 9: Show the days on which individual teams did not have any revenue. What team made the highest revenue on a single day (which round)?
Hint: Use a Heat Map. X-axis: Round, Y-axis: Day, Color: Revenue. Then click on “…” on the top right corner, select Add->Trellis: Team. Then click on “…” on top right corner and select Rank-> Top 5.
Question 10: What product on what day and round brought the highest revenue (for which team)?
Hint: Use a Stacked Bar/Column. Measure: Revenue, Dimensions: Round, Day, Color: Team, Product. Then click on “…” on the top right corner, select Rank-> Top 5.
EXPORTING YOUR REPORT TO PRD
Click on the dropdown list next to Save and select Export.
Grading Parameters
Message is clearly presented.
The answer to the question is clearly shown on the visualization and
appropriate visualization is chosen.
Visualization is labeled and titled (see the example above).
Various visualizations are used, not just one type for all questions.
Parameters of the assignment have been met.
Nitin Kalé & Nancy Jones © 2016, 2018 – 1 –
IM MINI-PROJECT GRADING RUBRIC Excellent (16 -20) Competent (6-12) /20 County choice
IM MINI-PROJECT GRADING RUBRIC
Excellent (16 -20)
Competent (6-12)
/20
County choice feasibility and PESTEL Analysis
What the market success criteria are
Why these factors are important for the success of the proposed product
Why this and not some other market is the best choice
Facts and Figures
PESTEL Analysis
Three or less indicated expectations
SWOT Analysis
What does the company do?
How it it superior to competition?
What is the company weakness and what actions are to be taken to strengthen weaknesses?
What are the opportunities and threats?
What actions are being taken to reduce the threats and take advantage of the opportunities?
Three or less indicated expectations
Free Trade Areas and Collaboration Strategies
Selected at least two countries in the free trade zone as future markets.
Some background of the Free Trade Area.
Benefits of lower cost in operating in this free trade area.
Other benefits that come from collaboration.
Mention of action needed in Free Trade Area to take advantage of opportunities.
Three or less indicated expectations
Market Segmentation, Targeting, Positioning
What are the target markets?
Needs of markets
How markets are segmented?
How is the product positioned – what is the concept?
What is the point of difference?
Three or less indicated expectations
Product Strategies
Description of dimensions of product – core, packaging and support services.
Product features and benefits.
Product versions to businesses as well as Consumers.
Whether new or modified product.
Uniqueness of product
Three or less indicated expectations
Pricing Strategies
Description of dimensions of product – core, packaging and support services.
Product features and benefits/show more benefits than competitors.
Link of Products Strategy to Hierarchy of Needs.
Product versions to businesses as well as Consumers.
Whether new or modified product
Three or less indicated expectations
Distribution Strategies
Mention of whether extensive, selective or exclusive distribution.
Distribution utilities – right form, right place, right time, right information.
How you would use middlemen.
How and whether you would apply Japanese distribution structure.
The Seven S’s of distribution strategies.
Three or less indicated expectations
Promotional strategies
At least two advertising strategies.
Mention of Sales promotion strategy/strategies
Mention of Public Relations Strategy
Mention of Direct Selling/Direct Marketing strategy
The cultural adaptation of promotional strategies.
Three or less indicated expectations
Clarity of presentation, formatting, readability, visual appeal, grammar
Use of attractive visuals.
Use of attractive text format
Visuals support the text information.
The visuals provide additional information.
The presentation has visual appeal,
Three or less indicated expectations
Cultural Highlights of Chosen Country Market
Elements of Culture discussed.
At least three Hofstede’s dimensions of culture
How culture is an opportunity
Whether low or high context culture
Collaborations to leverage culture
Three or less indicated expectations
TOTAL
/200