Strategic Partnering with the C-Suite

 

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 do not 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 cannot 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 and to create effective hiring and compensation models. 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, so as to indicate the anticipated return on investment (ROI).

write a paper based on the case study, Agoda: People Analytics and 
Business Culture. In your paper, you will 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:  
1. 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.   
2. 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.

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. 
3. 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? 
4. 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. 

Sample Answer

 

 

 

 

 

 

 

Executive Summary

This paper analyzes the challenges and opportunities presented in the "Agoda: People Analytics and Business Culture" case study. The central issue is Agoda's need to evolve its talent management strategy from a largely intuitive, qualitative approach to a data-driven, quantitative one, particularly in the context of its fast-paced, performance-oriented culture. The analysis focuses on the company's existing data and culture, as well as the potential for leveraging people analytics to drive strategic decisions. A key finding is the opportunity to use data to identify and address issues related to employee performance, compensation, and development. The paper concludes with a recommendation for a phased implementation of people analytics, starting with a targeted pilot program to demonstrate value and secure broader organizational buy-in.