Case Study: Using Data to Build a Stronger Workforce
Overview C-Suite leaders rely on data to drive decisions. However, many HR professionals come from “non-quant” backgrounds that leave them feeling less than confident when it comes to understanding the numbers and using data to evaluate and communicate critical HR initiatives. Like it or not, having a seat at the table requires that you can speak with data. The good news is that you don’t need to be a financial or data analytics expert. You do, however, need to be able to ask the right questions when the numbers are put in front of you and you need to be able to identify the trends and patterns to successfully manage talent. If you can’t do this, there is a strong possibility you will not be a part of “real” business conversations.
This assignment presents you with an opportunity to explore how data can be used to make more effective talent-management decisions. By developing these skills, you will be better equipped to challenge assumptions, create hiring and compensation models, and to defend the value that HR brings to the organization. Since we can never have complete data, our decision-making process must acknowledge what we know and what we don’t know. Even with incomplete data, however, our actions must be reasonable, given the time frame and resources we have. Additionally, any actions we recommend must include a clear understanding of how success will be measured (ROI).
Instructions
For this assignment, you will write a paper based on the case study, Agoda: People Analytics and Business Culture. In your paper, you are to analyze the data and provide a recommendation for action. Your paper must address the following topics: the challenges and opportunity; the data that is known and unknown; the culture of the organization; and how data can be leveraged to support a plan of action.
Use the outline below to organize your paper:
Executive Summary
An executive summary is a brief synopsis of a paper or report. It is a helpful tool that allows readers to get a snapshot of what will be discussed in the paper. Your Executive Summary should not include detailed information, but simply present an overview of your position.
Data and Culture
a. What are the data collection/analysis tools being considered in the case?
i. How might they improve the way talent is managed?
ii. What drawbacks or dangers are presented?
b. How might the need for transparency and actionable data create a negative environment? What are some unintended consequences the data might lead to? Think in particular about the need for privacy.
Data Analysis
a. What does the data in Exhibit 2 tell us? Which team has the highest correlation between performance and compensation? Explain.
b. What does the data in Exhibit 3 tell us about where we may want to focus our personnel development efforts? Explain.
c. What other insights could be helpful to Agoda that are not addressed in the case?
i. What data would you need to identify these insights?
ii. How could this data be collected in an accurate and cost-effective way?
Recommendation
a. What are Allen’s key issues going forward?
i. What role does Agoda’s culture play in each of these issues?
ii. What previous findings or experiences related to these issues are conveyed in the case?
b. What advice would you offer him?
c. How will the success of the recommendations be assessed? Be specific about:
i. What cost assumptions need to be included?
ii. How should ROI be measured?
d. Summarize the main steps of your action plan to support your recommendation to Allen.
Formatting Requirements • Total length 4 – 6 pages (cover page and references page are not included in the required length) • Include a cover page containing the title of the assignment, your name, professor’s name, and the course title and date • Include a references page with your sources • Double-spaced, professional font (Times New Roman or Ariel), 10-12 font size; headings are used to identify main topics and subtopics
Rubric: Assignment 2
Criteria Unsatisfactory
Honors
1. Executive Summary Weight: 10%
Met HP criteria plus displayed an engaging style that hooks the reader.
2. Data and Culture Weight:15%
Met HP criteria plus added significant relevant insight from outside sources.
3. Data Analysis Weight: 40%
Met HP criteria plus added significant relevant insight from outside sources.
4. Make a Sound Recommendation Weight: 20%
Recommendation demonstrated exceptional insight and included detailed calculations of ROI considerations and action plan.
5. Organization and Writing Conventions Weight: 15%
Paper was error free, well organized and easy to follow. Met all HP criteria plus demonstrated a particularly engaging style and structure that elevates the paper to an exemplary level.
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