HRM599 Capstone Module 4

Module 4 – Case

PEOPLE/PREDICTIVE ANALYTICS

Case Assignment – People Analytics

Scan the following sources to find a company that interests you:

Green, D. (2016). 40 People Analytics Case Studies—Part 1. Retrieved from https://www.linkedin.com/pulse/20-people-analytics-case-studies-part-1-david-green?published=t

Green, D. (2016). 40 People Analytics Case Studies—Part 2. Retrieved from https://www.linkedin.com/pulse/20-people-analytics-case-studies-part-2-david-green?published=t

Green, D. (2016). 40 People Analytics Case Studies—Part 3. Retrieved from https://www.linkedin.com/pulse/20-more-people-analytics-case-studies-part-i-david-green?published=t

Green, D. (2016). 40 People Analytics Case Studies—Part 4. Retrieved from https://www.linkedin.com/pulse/20-people-analytics-case-studies-part-ii-david-green?published=t

Select one of the companies mentioned and conduct additional research on its experiences with people analytics.

Use at least 4 additional sources to help strengthen your discussion. Reference all material cited. Sources used must be valid and reliable.

You may present your response as a blog with graphics (4 pages), essay paper (4 pages), slide presentation (10 to 12 slides, with notes at the bottom), or 7- to 8- minute video.

Assignment Expectations

Demonstrate critical thinking and analysis of the employer’s people analytics activities.

Proofread your work and make sure it is as professional-appearing as possible.

Your submission will be assessed on the criteria found in the grading rubric for this assignment:

• Assignment-Driven Criteria
• Critical Thinking
• Business Writing
• Effective Use of Information
• Citing Sources
• Timeliness

Module 4 – SLP

PEOPLE/PREDICTIVE ANALYTICS

For this SLP, you have the opportunity to focus on a private-sector organization doing business in another country (a company that you have not previously examined). Discuss how this organization is approaching the issue of “big data” and analysis of big data. What data is it analyzing and why? How is it transforming the data to useful information? What future directions do you see this global company taking with regard to data collection and decision making insofar as HRM is concerned?

Review the background materials and also find additional resources to help you complete this assignment.

Bring in at least 2 valid sources to help strengthen your discussion.

Please upload your essay paper by the module due date. Paper length: 3 pages, not counting the cover and reference pages.

SLP Assignment Expectations

Prepare a paper that is professionally presented (including a cover page, a “List of References,” and a strong introduction and conclusion). Proofread your paper carefully for grammar, spelling, and word-usage errors.

Address all aspects of the assignment as stated above.

Limit your Internet searching and focus instead on library searches; be sure to bring in information from the background readings.

Give authors credit for their work. Cite sources of borrowed information in the body of your text as footnotes, numbered end notes, or APA style of referencing.

See “The Trident Guide to the Well-Written Paper” (instruction on writing papers, citing sources, proper referencing, and so forth).

Your submission will be assessed on the criteria found in the grading rubric for this assignment:

• Assignment-Driven Criteria
• Critical Thinking
• Business Writing
• Effective Use of Information
• Citing Sources
• Timeliness

MODULE 4 DISCUSSIONS

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