Data Science
Risks of Poor Data Quality
What are the business costs or risks of poor data quality? What is data mining? What is text mining? 1. Summarize all three (3) concepts in 300 words or more. Provide at least 3 references in APA format. Please use your own words. No copy-and-paste
Information Governance
Chapter Eight (8): Information Governance and Legal Functions: According to the authors, Smallwood, Kahn, and Murphy, IG is perhaps one of the functional areas that impact legal functions most. Failure to meet them could be literally put an organization out of business or land executives in prison. Privacy, security, records management, information technology (IT), and business management functions are very important. However, the most significant aspect of all of these functions relates to legality and regulatory compliance from a critical perspective. Q1: When we take a close look at the authors point of view, under the Federal Rules of Civil Procedures (FRCP) amendments dating back to 1938 there has been governance and the discovery of evidence in lawsuits and other civil cases. Please name and briefly discuss the three (3) reasons why corporations must proactively manage the e-discovery process?Chapter Nine (9): Information Governance (IG) and Records and Information Management Functions. From the Chapter, we have learned from that Records Management (RM) is a key impact area of IG so much that in the RM space, IG is often thought of as synonymous with or a single superset of RM. From that perspective, the International Organization for Standardization (ISO) defined business records as information created, received, and maintained as evidence and information by an organization or person, in pursuance of legal obligations or in the transaction in the form of records. Q1: To further enhance our knowledge and understanding of RM, ISO provided a more refined definition of RM to a granular level as [the] field of management responsible for the efficient and systematic control of what…? Identify and complete the missing phrase to directly complete the granular definition?
Data Classification
Refer to the company you researched in the “Wk 1 Discussion – Security Policies” and review the data classification schemes in use within that companys industry. In 175 words or more discuss the following: How difficult was the classification scheme to locate? Why might that be? What are the classification levels in place? How do they vary depending on the different industries? Are the types of data classified the same in each industry? Should they be the same in each type of organization?
Data Processing
Three months ago, you decided to hire freelance workers because the company was overloaded by data processing work (due to the growth of the company). Today is the last Friday of the month and you have to process the invoices from the freelance workers. The freelance workers are doing an excellent job processing the invoices. The number of hours used to complete the work, however, increases each month. Last month, the freelancers’ timesheets showed they spent an average of 18 hours to go through the data for one client. This month, the freelancers spent an average of 25 hours per account. This is troubling since it took in-house processing 57 hours to go through the data for one client. The most inexperienced employee on the team took nine hours to process one client’s account. You discussed the situation with another manager and he suggested using a software program called EyeSpy that takes pictures of freelancers’ computer screens and records keystrokes and mouse clicks periodically throughout the day. At the end of each week, you can drill down by worker, examining their productivity to give you an accurate report of who is doing what while on the clock. Should the company be allowed to install the EyeSpy software to monitor performance? If not, what other suggestions do you have on finding out why there are variations in the freelancer’s timesheet. Is it legal for organizations to monitor the performance of the employees without telling them? Why or why not?
Measures of Central Tendency
DUE IN 36 HOURS The most frequently used measures of central tendency for quantitative data are the mean and the median. The following table shows civil service examination scores from 24 applicants to law enforcement jobs:83 74 85 79 82 67 78 7018 93 64 27 93 98 82 7868 82 83 99 96 62 93 58Using Excel, find the mean, standard deviation, and 5-number summary of this sample. Construct and paste a box plot depicting the 5-number summary. Does the dataset have outliers? If so, which one(s)? Would you prefer to use the mean or the median as of this datasets measure of central tendency? Why
Security Policies
How do you determine if a business adheres to its security policies? The discussion should be 350 – 400 words. No Plagiarism. APA Format For more information read this: https://en.wikipedia.org/wiki/Security_policy
Open Web Application Security Project
Briefly respond to all the following questions. Make sure to explain and back up your responses with facts and examples. This assignment should be in APA format and have to include at least two references. Minimum of 400 words. The Open Web Application Security Project (OWASP) provides a distillation of several of the most well-known sets of computer security principles; such as “Fail securely” What “Fail securely” means and what architect solutions can support that?
The New York Privacy Act
This is my topic for the essay: The New York Privacy Act differs from the EUs GDPR and Californias CCPA by its use of data fiduciaries. Is a data fiduciary approach the best at protecting privacy in the digital age?
Information Systems Infrastructure
Select a topic from the following list on which you would like to conduct an in-depth investigation: Information systems infrastructure: evolution and trends Strategic importance of cloud computing in business organizations Big data and its business impacts Managerial issues of a networked organization Emerging enterprise network applications Mobile computing and its business implications Note: The above topics are also the basis of the discussion questions. You may use up to three resources found by yourself or your peers as resources for the paper. Research paper basics: 8-10 pages in length APA formatted Minimum six (6) sources at least two (2) from peer-reviewed journals Include an abstract, introduction, and conclusion See rubric for more detailed grading criteria Some good questions to ask yourself before turning in your research paper: Is the paper of optimal length? Is the paper well organized? Is the paper clear and concise? Is the title appropriate? Does the abstract summarize well? Are individual ideas assimilated well? Are wording, punctuation, etc. correct? Is the paper well-motivated? Is an interesting problem/issue addressed? Is knowledge of the area demonstrated? Have all key references been cited? Are conclusions valid and appropriate? For more information on Information Systems Infrastructure read this: https://en.wikipedia.org/wiki/Information_infrastructure
Leakage Prevention
The goal is to do the Literature Review chapter of a Masters/Dissertation around the topic of Data Loss/Leakage Prevention. I already have some pages done (which I can share after to ensure the document is complemented with new topics and not the same) and the goal is to improve them (optionally) and create new content (around 20 pages) around the topic of Data Loss Prevention (Computer Science). It should include at least and not limited to: – Traditional technologies used to protect information (IPS/HIPS), Firewall, AV (to explain how they are different from DLP) – How DLP works – DLP Architecture – Detection technologies (DAR, DIM, DIU) – disk encryption to complement DLP Solutions – data breaches – insider threats Being the Literature Review a key chapter in a Master Thesis, solid sources/references are key. i can also provide some material around the subject.
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