Please see attachment for details Overview Data analyst roles are among the fastest-growing jobs in the world. Many industries, including

Please see attachment for details

Overview

Data analyst roles are among the fastest-growing jobs in the world. Many

industries, including technology, healthcare, transportation, and

construction, hire data analysts now more than ever. The advancement in

technological power has led to an overwhelming amount of data being

created daily.

This vast volume of data and the evolution of data privacy and protection

regulations call for a data analyst who can strictly devise, implement, and

comply with the data privacy protection policies at all levels of an

organization.

In this module, you reviewed several organizational roles a data analyst can

fill. Additionally, you have spent the last four weeks learning to identify and

mitigate risks associated with fairness, bias, transparency, explainability, and

accountability. For this assignment, review these roles and select the top

three roles you think are most directly and significantly responsible for

managing data access and regulatory compliance.

Prompt

In your response, be sure to include the following:

• Describe three specific roles that directly control data protection and

regulatory compliance. Specifically, include the following in your response:

o What are the responsibilities of someone who would perform these roles?

o Why do analysts require a much more in-depth knowledge of regulatory

standards than the others? What would that specialized body of

knowledge be?

• Describe several of the best practices from your reading for applying data

protection policies that help to mitigate risks associated with fairness, bias

mitigation strategies, transparency, explainability, and accountability.

Consider the following in your response:

o What best practices would professionals in these roles consider for

regulating data usage and maintaining company policies associated with

fairness, bias risks, transparency, explainability, and accountability?

o How can analysts ensure transparency, explainability, and accountability in

data processes and decisions? Based on the reading, what strategies would

you commonly recommend?

o What resources or regulations (if any) should a data analyst in these roles

use to inform decision making?

• Explain how a data analyst in these roles would collaborate with other data

professionals to maintain data security fairness, bias mitigation,

transparency, explainability, and accountability. Consider the following in

your response:

o How can professionals work together to ensure and maintain data security,

fairness, bias mitigation, transparency, explainability, and accountability?

What to Submit

This assignment must be 1 to 2 pages in length using one-inch margins,

double spacing, and Times New Roman. You should support your responses

by referencing appropriate resources from credible sources in the field. All

references must be cited in APA format. Consult the Shapiro Library APA

Style Guide for more information on references.

Please try to use the resources below for the assignment

Reading Resources:

Chapter 7, “7.4.2: Process Summary” section

This section discusses various professional roles within the domain of data
security management. Table 7.1 delineates four categories—deliverables,
responsible roles, approving roles, and contributing roles—that outline
professional responsibilities.

&sid=bookmark-GBIB&asid=30bc46f8

Read this article from the RMA Journal for an examination of some factors
that must be considered when there are no guiding data regulations.
Consider the types of decision making that people in a variety of positions
might have to make, whether they are executives or the newest employees

&sid=bookmark-GBIB&asid=30bc46f8
&sid=bookmark-GBIB&asid=30bc46f8
  • Overview
  • Prompt
  • What to Submit

Share This Post

Email
WhatsApp
Facebook
Twitter
LinkedIn
Pinterest
Reddit

Order a Similar Paper and get 15% Discount on your First Order

Related Questions

  Course Outcome for Assignment:  Evaluate research designs, data sources, data collection, and analytical methods. Apply health informatics research

  Course Outcome for Assignment:  Evaluate research designs, data sources, data collection, and analytical methods. Apply health informatics research using standard design, tools, and techniques. Assignment Instructions: The most common Excel functions used for data analytics are VLOOKUP (), CONCATENATE, LEN, COUNTA, COUNTIFS, SUMIFS, FIND/SEARCH, AVERAGEIFS. IFERROR, LEFT/RIGHT, RANK, MINIFS,

 The COVID-19 pandemic underscored the opportunity, and importance, of the health informatics discipline demonstrated by the widespread utilization of

 The COVID-19 pandemic underscored the opportunity, and importance, of the health informatics discipline demonstrated by the widespread utilization of health informatics applications, especially eHealth, telehealth, and telemedicine. Discuss any eHealth/Telehealth/Telemedicine application you may have used during the COVID-19 pandemic to access/provide healthcare services. What was your experience of using it