Project management

Find any example of a real project with a real project manager. Feel free to use projects in the media (such as the Olympics, television shows, or movies) or a project from your work, if applicable.

Write a two page paper describing the project in terms of its scope, time, and cost goals.

Also describe other impacts on a project, such as quality, resources, and risks.

Discuss what went right and wrong on the project and the role of the project manager and sponsor.

Be sure to describe whether the project was a success, and why.

Include at least one reference and cite it on the last page. 500 words 

Data analytics

  

1 Financial Condition of Banks. The file Banks.csv includes data on a sample of 20 banks. The “Financial Condition” column records the judgment of an expert on the financial condition of each bank. This outcome variable takes one of two possible values—weak or strong—according to the financial condition of the bank. The predictors are two ratios used in the financial analysis of banks: TotLns&Lses/Assets is the ratio of total loans and leases to total assets and TotExp/Assets is the ratio of total expenses to total assets. The target is to use the two ratios for classifying the financial condition of a new bank. Run a logistic regression model (on the entire dataset) that models the status of a bank as a function of the two financial measures provided. Specify the success class as weak (this is similar to creating a dummy that is 1 for financially weak banks and 0 otherwise), and use the default cutoff value of 0.5. 

a. Consider a new bank whose total loans and leases/assets ratio = 0.6 and total expenses/assets ratio = 0.11. From your logistic regression model, estimate the following four quantities for this bank (use R to do all the intermediate calculations; show your final answers to four decimal places): the logit, the odds, the probability of being financially weak, and the classification of the bank (use cutoff = 0.5). 

b. The cutoff value of 0.5 is used in conjunction with the probability of being financially weak. Compute the threshold that should be used if we want to make a classification based on the odds of being financially weak, and the threshold for the corresponding logit. 

c. When a bank that is in poor financial condition is misclassified as financially strong, the misclassification cost is much higher than when a financially strong bank is misclassified as weak. To minimize the expected cost of misclassification, should the cutoff value for classification (which is currently at 0.5) be increased or decreased?

2. Competitive Auctions on eBay.com. The file eBayAuctions.csv contains information on 1972 auctions transacted on eBay.com during May–June 2004. The goal is to use these data to build a model that will distinguish competitive auctions from noncompetitive ones. A competitive auction is defined as an auction with at least two bids placed on the item being auctioned. The data include variables that describe the item (auction category), the seller (his or her eBay rating), and the auction terms that the seller selected (auction duration, opening price, currency, day of week of auction close). In addition, we have the price at which the auction closed. The goal is to predict whether or not an auction of interest will be competitive. Data preprocessing. Create dummy variables for the categorical predictors. These include Category (18 categories), Currency (USD, GBP, Euro), EndDay (Monday–Sunday), and Duration (1, 3, 5, 7, or 10 days). 

a. Create pivot tables for the mean of the binary outcome (Competitive?) as a function of the various categorical variables (use the original variables, not the dummies). Use the information in the tables to reduce the number of dummies that will be used in the model. For example, categories that appear most similar with respect to the distribution of competitive auctions could be combined.

b. Split the data into training (60%) and validation (40%) datasets. Run a logistic model with all predictors with a cutoff of 0.5. c. If we want to predict at the start of an auction whether it will be competitive, we cannot use the information on the closing price. Run a logistic model with all predictors as above, excluding price. How does this model compare to the full model with respect to predictive accuracy? 

d. Interpret the meaning of the coefficient for closing price. Does closing price have a practical significance? Is it statistically significant for predicting competitiveness of auctions? (Use a 10% significance level.) 

e. Use stepwise selection (use function step() in the stats package or function stepAIC() in the MASS package) and an exhaustive search (use function glmulti() in package glmulti) to find the model with the best fit to the training data. Which predictors are used? 

f. Use stepwise selection and an exhaustive search to find the model with the lowest predictive error rate (use the validation data). Which predictors are used?

BSWA Week 8

 In 300 words, 

You are the web master of a college website. You share a server with other school departments such as accounting and HR.

Create at least five security-related rules for staff members who are adding web pages being added to your site. Include a justification and explanation for each rule. Rules should relate to college, staff and student, and system information security.

Access control discussion 7

Discuss how human nature affects Access Control.

It must be at least 450 words and have references.

No plagiarism and no grammar mistakes and need APA format.

properly site the references.

Contingency Planning

Contingency planning is a risk mitigation process for developing back-up plans in anticipation of events (scenarios) that might disrupt ‘business as usual’. Business continuity planning is an expanded version of contingency planning that typically encompasses a more comprehensive and extended response plan for getting back to ‘business as usual’. In a well-formatted, highly-detailed research paper, address the need to contingency planning, ensuring to address the following items:(1) Benefits of scenario events/planning.
(2) Questions to consider when implementing scenario planning.
(3) The common types of scenario planning.Your paper should meet these requirements:

  • Be approximately four to six pages in length, not including the required cover page and reference page.
  • Follow APA 7 guidelines. Your paper should include an introduction, a body with fully developed content, and a conclusion.
  • Support your answers with the readings from the course and at least two scholarly journal articles to support your positions, claims, and observations, in addition to your textbook. The UC Library is a great place to find resources.
  • Be clearly and well-written, concise, and logical, using excellent grammar and style techniques. You are being graded in part on the quality of your writing.

Signature Assignment: Backup Policies

Securing company data is not as simple as backing up to another hard drive. It is important to have backup tools, processes, and policies for both business continuity and disaster recovery plans.  

In the final section of your Playbook, create a 3- to 4-page outline of backup policies for when the data center is inaccessible.  

Complete the following in your outline: 

  • List the tools used for backup purposes. 
  • Explain the following: 
  • Where employees should work from that day 
  • How employees can get to their data 
  • The communication methods about updates 
  • Outline step-by-step instructions to recover your databases and telecommunications. 
  • Provide a step-by-step guide to recover and provide any additional company assets. 
  • Discuss policies for backup media storage. 
  • Discuss policies for encryption of backup data. 

Note: Numbered or bulleted steps or guidelines make the document easy to for others to follow under potentially stressful situations. Paragraphs can be used to help support the steps or guidelines. 

Cite at least 2 resources to support your assignment.

Format your assignment according to APA guidelines.