How is this process defined and who plays what roles in a small-sc ale enterprise such as a regional chain of cookware stores

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Question
The role of marketing during the design process depends on a number of factors. Among them are not just the market analysis, the attributes of the product, the financial projections, and the specific aspects of these that we have considered up to now in this course. One important aspect is also the scale of the product and the scale of operations of the company that is developing it.

For example, are there design and production teams that do only those functions, such as one might see in a large company such as the Dell Computers Case Analysis you did in Module 2?How is this process defined and who plays what roles in a small-sc ale enterprise such as a regional chain of cookware stores ($7.5m in sales, 50 employees) that is considering branching out its product lines to include a line of gourmet condiments?

From your own personal experience or observations of a small business that developed and produced a new product, write a short case study. Your case should include:

Brief background of the company
Description of the product (a good or a service)
How the new product idea was analyzed before design and production
The role of marketing in design and production
The level of success of the new product
You may present your case in MS Word and/or PowerPoint format. Be sure to address each of the points above. As a general guideline, the case should total approximately 2–4 pages.

Feel free to choose whatever new product interested you that meets these guidelines. You may wish to consult with your mentor before you begin.

 

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What are the contributing factors to this potential diagnosis?

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LN is a twenty-six-year-old married woman who presents at the clinic with symptoms of dysuria, frequency, and urgency. Further history yields two days of these symptoms but no fever, chills, or flank pain. She describes a burning discomfort during and immediately following urination and feeling the need to void every half hour. There is no vaginal discharge, itching, or odor. She is not using birth control at this time. She requests “a urine culture and some sulfa pills.” When asked to explain, she says she has had many “bladder infections” over the past three years and “sulfa pills usually work.” She was evaluated approximately five years ago with an IV pyelography and cystogram, and “nothing was wrong.” All her vital signs are normal. Answer the following questions:

What additional information would you like to collect?
What is your working diagnosis?
What are the contributing factors to this potential diagnosis?
What treatment would you implement and why?
What type of follow-up would you recommend?

 

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Develop a 1,050-word summary describing typical features of software in the selected category

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Project description
Research one software application category from the list below:

ERP (Enterprise Resource Planning)
CRM (Customer Relationship Management)
SCM (Supply Chain Management)

Develop a 1,050-word summary describing typical features of software in the selected category. In the summary include the following:

The purpose of the software for an organization
The business value the software brings to an organization
An explanation of how the software is used by organizations to generate value

Use the following features of Microsoft Word in your summary:

Headers, footers, and page numbers
Watermark document as ”Draft”
A Microsoft Word memo template
A minimum of two styles
An image
Either a bulleted or numbered list

 

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using the marginal probabilities, determine the joint probabilities that would make them statistically independent. Convert the joint probabilities to numbers of people and compare them to the data.

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Compute the joint probability distribution and marginal probabilities for age and educational status in the Excel file Census Education Data, and verify that these random variables are not statistically independent. Then, using the marginal probabilities, determine the joint probabilities that would make them statistically independent. Convert the joint probabilities to numbers of people and compare them to the data. What can you conclude?

 

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