The proposal summary, also referred to as an executive summary, provides an overview of the full proposal and determines whether the funder will continue to read the full proposal. I like to think of the proposal summary as a trailer and preview of a movie.

Thinking about a proposal as a preview or trailer for the full grant proposal, select another grant proposal from the Examples of Successful Grant Proposals  (one you have not selected previously)( can not use  Kurzweil Educational Systems: ) and focus on the summary. 

For the first part of the discussion, provide a response to each of the six questions in Worksheet 10.1: Summary Questionnaire (found in Step 10 in your textbook) using the information found in the summary. Be sure to also identify the specific grant proposal you working from. 

  

Worksheet 10.1 Summary Question

1. What is the identity of the organization and what is the mission?

2. What is the proposed program or project (title, purpose, targeted population)?

3. Why is the proposed program or project important?

4. What will be accomplished by this program or project during the time period of the grant?

5. Why should the organization be the one to do the program or project (credibility statement)?

6. How much will the program or project cost during the grant time period? How much is being requested from the funder?

For the second part of the discussion, based on what you’ve learned from the textbook and after reading some examples of successful grant proposals, what is one piece of advice you give on writing the summary to someone who is writing their first grant? 

Discussion Question (Chapter-8)

1. How does prescriptive analytics relate to descriptive and predictive analytics?
2. Explain the differences between static and dynamic models. How can one evolve into the other?
3. What is the difference between an optimistic approach and a pessimistic approach to decision making under assumed uncertainty?
4. Explain why solving problems under uncertainty sometimes involves assuming that the problem is to be solved under conditions of risk.

10.What is the difference between decision analysis with a single goal and decision analysis with multiple goals (i.e., criteria)? Explain the difficulties that may arise when analyzing multiple goals.

Chapter -9

1. What is Big Data? Why is it important? Where does Big Data come from?
2. What do you think the future of Big Data will be? Will it lose its popularity to something else? If so, what will it be?
3. What is Big Data analytics? How does it differ from regular analytics?
4. What are the critical success factors for Big Data analytics?
5. What are the big challenges that one should be mindful of when considering implementation of Big Data analytics?

Application Case9For these question I have upload the application case read that and answer the question)

Questions for the Opening Vignette

1. What problem did customer service cancellation pose to AT’s business survival?
2. Identify and explain the technical hurdles presented by the nature and characteristics of AT’s data.
3. What is sessionizing? Why was it necessary for AT to sessionize its data?
4. Research other studies where customer churn models have been employed. What types of variables were used in those studies? How is this vignette different?
5. Besides Teradata Vantage, identify other popular Big Data analytics platforms that could handle the analysis described in the preceding case. 

Please read below to answer the question for the opening Vignette

A telecom company (named Access Telecom [AT] for privacy reasons) wanted to stem the tide of customers churning from its telecom services. Customer churn in the telecommunications industry is common. However, Access Telecom was losing customers at an alarming rate. Several reasons and potential solutions were attributed to this phenomenon. The management of the company realized that many cancellations involved communications between the customer service department and the customers. To this end, a task force comprising members from the customer relations office and the information technology (IT) department was assembled to explore the problem further. Their task was to explore how the problem of customer churn could be reduced based on an analysis of the customers’ communication patterns (Asamoah, Sharda, Zadeh, & Kalgotra, 2016).

Big Data Hurdles

Whenever a customer had a problem about issues such as their bill, plan, and call quality, they would contact the company in multiple ways. These included a call center, company Web site (contact us links), and physical service center walk-ins. Customers could cancel an account through one of these listed interactions. The company wanted to see if analyzing these customer interactions could yield any insights about the questions the customers asked or the contact channel(s) they used before canceling their account. The data generated because of these interactions were in both text and audio. So, AT would have to combine all the data into one location. The company explored the use of traditional platforms for data management but soon found they were not versatile enough to handle advanced data analysis in the scenario where there were multiple formats of data from multiple sources (Thusoo, Shao, & Anthony, 2010).

There were two major challenges in analyzing this data: multiple data sources leading to a variety of data and also a large volume of data.

1. DATA FROM MULTIPLE SOURCES: Customers could connect with the company by accessing their accounts on the company’s Web site, allowing AT to generate Web log information on customer activity. The Web log track allowed the company to identify if and when a customer reviewed his/her current plan, submitted a complaint, or checked the bill online. At the customer service center, customers could also lodge a service complaint, request a plan change, or cancel the service. These activities were logged into the company’s transaction system and then the enterprise data warehouse. Last, a customer could call the customer service center on the phone and transact business just like he/she would do in person at a customer service center. Such transactions could involve a balance inquiry or an initiation of plan cancellation. Call logs were available in one system with a record of the reasons a customer was calling. For meaningful analysis to be performed, the individual data sets had to be converted into similar structured formats.
2. DATA VOLUME: The second challenge was the sheer quantity of data from the three sources that had to be extracted, cleaned, restructured, and analyzed. Although previous data analytics projects mostly utilized a small sample set of data for analysis, AT decided to leverage the multiple variety and sources of data as well as the large volume of data recorded to generate as many insights as possible.

An analytical approach that could make use of all the channels and sources of data, although huge, would have the potential of generating rich and in-depth insights from the data to help curb the churn.

Solution

Teradata Vantage’s unified Big Data architecture (previously offered as Teradata Aster) was utilized to manage and analyze the large multistructured data. We will introduce Teradata Vantage in Section 9.8. A schematic of which data was combined is shown in Figure 9.1. Based on each data source, three tables were created with each table containing the following variables: customer ID, channel of communication, date/time stamp, and action taken. Prior to final cancellation of a service, the action-taken variable could be one or more of these 11 options (simplified for this case): present a bill dispute, request for plan upgrade, request for plan downgrade, perform profile update, view account summary, access customer support, view bill, review contract, access store locator function on the Web site, access frequently asked questions section on the Web site, or browse devices. The target of the analysis focused on finding the most common path resulting in a final service cancellation. The data was sessionized to group a string of events involving a particular customer into a defined time period (5 days over all the channels of communication) as one session. Finally, Vantage’s nPath time sequence function (operationalized in an SQL-MapReduce framework) was used to analyze common trends that led to a cancellation.

Figure 9.1 Full Alternative Text

Results

The initial results identified several routes that could lead to a request for service cancellation. The company determined thousands of routes that a customer may take to cancel service. A follow-up analysis was performed to identify the most frequent routes to cancellation requests. This was termed as the Golden Path. The top 20 most occurring paths that led to a cancellation were identified in both short and long terms. A sample is shown in Figure 9.2.

Figure 9.2 Full Alternative Text

This analysis helped the company identify a customer before they would cancel their service and offer incentives or at least escalate the problem resolution to a level where the customer’s path to cancellation did not materialize.

You are the new project / quality manager at Health Clinic Quality Improvement Experts LLC, a local company for the past 12 years in the Indianapolis, IN area.  Your first assignment will be for the Dr. Donald Snickerbush, Hamilton County, Colonoscopy Clinic. The clinic has five teams performing colonoscopies at their Carmel, IN facility. Each team consist of an Admittance Expert, a Triage and Preparation Nurse, an Anesthesiologist, a Procedure Nurse, a Proctologist, a Post Procedure Nurse Specialist and a Closure Nurse. The clinic has the ability and facilities to run five lines of work at any one point in time and a separate patient arrival area / waiting room. The clinic has some concerns as to its business and increasing revenue as well as the quality of its services.Our Corporate / Six Sigma Project Objectives in this engagement include:

• Reduce the number of colonoscopy process errors system wide.
• Improve documentation of colonoscopy administration.
• Reduce waste in product and time in colonoscopy administration.
• Improve patient satisfaction with their colonoscopy experience.
• Improve bed flow for patients receiving a colonoscopy.

Our overall objective is to increase our patient turn-around per day while at the same time increasing our patient customer satisfaction results, increasing our clientele and decreasing medical errors.In order to complete the needed objectives we will apply a Six Sigma full DMAIC process. Please see the documents to be created for the project below. As a team, it is extremely important to all of you that you participate in the creation of every document listed below in some way.  That you leave this course with the knowledge of what that document is for and what it typically contains. You will need to create all of the documents as a team and you will use those documents to create slides for your project status presentation using Power Point.

1. Define the Process by Developing Process Maps (Saturday)- Talk about current situation for the procedure. How is colonoscopy conducted in the clinic in present?? 
2. Measure – Determine What Variables We Will Study (Saturday)- variable like patient infection rate, number of patients who needs extend their stay due to medical complications, Adenoma detection rate, repeat patients for routine screening, Patients complaining of bleeding after procedure, patient turnaround can be used to determine if six sigma is useful 
3. Measure – Create a Plan to Collect the Data (Saturday) –documentation and survey  
4. Analyze – Look for What Might be Causing the Problem———————- (SIPOC table from https://core.ac.uk/download/pdf/82037951.pdf) 
5. Analyze – Verify the Cause(s) of the Problem (Saturday) —— RCA of delays, Fishbone diagram showing possible errors which can happen due to errors from patient, technician, doctors etc. 
6. Improve – Brainstorm Solutions That Might Fix the Problem and Select the Practical Solutions (Saturday) —————– you can use Risk remediation for ideas 

APA Format Required and PPT required

Final Project

Case Study Analysis on How the Government Promotes Economic Growth for the Local Economy

The government has helped to create arts and cultural institutions, sports stadiums, and business improvement districts. Students will research whether such activities promote economic growth for the local economy.

Your Final Project will culminate in five (5) to six (6) double-spaced pages.

• The rationale and implications for the government to create arts and cultural institutions, sports stadiums, and / business districts
• Based upon an analysis of two (2) different case studies, does government intervention promote economic growth for the local economy? (The Prudential Center, Newark NJ and New Jersey Performing Arts Center, Newark NJ)
• Compare and contrast the successes and / or failures of the above case studies.
• Your recommendations to make this government intervention more effective
• How would a typical taxpayer respond to your conclusions?

Be sure to include at least five (5) outside sources in your paper.

Final Project represents 30% of the student’s final grade for the course.

Due: May 9, 2018

Criteria

Possible Points

Clear thesis statement

5

Clarity and strength of argument

30

Substantiated points with research articles that are integrated into paper

20

Critical analysis of issues

30

Discussion of implications for public finance

10

Spelling, grammar, and citations

5

Total

100

 Topic 5 DQ 1

Erikson’s Developmental Stages, Ego Integrity Verses Despair is the final stage of development for 65 years of age and older. Accomplishments are viewed as satisfactory (ego integrity) or being a failure (despair). Elderly patients at this stage may often experience physical, spiritual, emotional, and cognitive crisis, (Green, 2018).

Keeping in mind that while performing a health assessment on an elderly patient, aside from a head-to-toe examination which is also used in young adults and middle-aged adults’ additional things to look for are functional abilities, and quality of life. Characteristics to look for in the aging process of the elderly include changes in the body’s systems, integumentary, musculoskeletal, cardiovascular, neurological, and over all comprehensive health. Cognitive assessment helps in determining the patient’s memory especially short term that can possibly be a sign of Dementia or Alzheimer’s disease, (Green, 2018).

Additional characteristics of aging adults include 1. Life expectancy, Enjoying the quality of life and decreasing the incidence of hospitalizations is critical as well as safety and health promotion. 2.Fraility, a condition of vulnerable health accompanies aging and includes biomedical factors which in turn reduces abilities to cope with stressors like hospitalization. Symptoms of frailty include weakness, slowness feeling exhausted, decrease in physical activities weight loss, and shrinkage(height). 3. Chronicity, Genomic based chronic illnesses are triggered by aging immune systems leading to such conditions as Hypertension, Heart Disease, Asthma, stroke, Lower respirations, Cancer Arthritis, and Diabetes, (Green, 2018). 4. Dignity, A quality of feeling worthy and seen as one with honor and esteem. 5. Safety is a huge concern for the elderly patient, functional limitations restrict doing usual activities speech and thought process are slower and the ability to walk and think clearly decreases making it more dangerous for the elderly, (Green, 2018).

Elderly abuse is often overlooked, it is physical, sexual, emotional, or psychological harm by a trusted person inflicted on older adults it also includes financial exploitation or neglect. Many elderly people are vulnerable to elderly abuse for many reasons, the mental status of a patient caused by dementia or confusion can be hard to determine if abuse is present and for that reason patients are abused. Another factor that is a form of abuse is neglect by a care giver that includes the appearance of the patient, bed sores or other preventable conditions. Many times, patients will not report abuse for fear of retaliation from the caregiver who is usually a spouse, partner, adult children, or other family members. Elder abuse may be difficult to detect, but detecting it may save the life of an older adult, ( Elder Abuse, 2020).

Respond using 200-300 words APA format with references to support the discussion

  Describe the characteristics of the aging process. Explain how some of the characteristics may lead to elder abuse (memory issues, vulnerability, etc.). Discuss the types of consideration a nurse must be mindful of while performing a health assessment on a geriatric patient as compared to a middle-aged adult.