Shifting the focus from retail to internal operations, Masego Malapile’s presentation to the Power Up with Power BI for Africa Summit delivered a critical message for Human Resources leaders: In an era of economic constraint, the cost of a “bad hire” is a luxury no business can afford.
Malapile demonstrated how data analytics transforms HR’s recruitment and retention strategy from a reactive, costly guessing game into a precise, predictive science. Her core message was that by analyzing existing employee data, HR can construct a profile of the risky candidate and implement targeted, budget-saving changes to recruitment policy.
Defining and Fighting the “Bad Hire”
A “bad hire,” as defined through audience input during the session, is more than just someone lacking skills; it is a person who either quickly jumps ship (using the company as a “stepping stone” to leverage a higher salary elsewhere) or who possesses an AI-generated CV and fails basic competency tests (like asking “where’s the ribbon on your Power BI” a week into the job).
Malapile stressed that the financial impact of such turnover is immense. “Recruitment is expensive… It requires a bigger budget, especially if you’re hiring through an agency.” The goal of HR analytics is to minimize these recurrent, avoidable costs.
The Power BI Due Diligence Checklist
Malapile detailed how HR can construct a dynamic dashboard using existing data on employee profiles to identify the high-risk demographic and region. Key data points on the dashboard include:
- Employee List
- Department
- Region
- Gender, Age, and Ethnicity
- Staff Retention Rate (by department/region)
By cross-referencing this data, an HR leader can rapidly construct a predictive risk profile, for example:
“The bad hires are mostly males, within the Northwest region, and they are generally younger than 30.”
From Data Insight to Policy Change
The immediate value of this analysis is the ability to communicate tangible, evidence-based policy changes back to department heads.
“The reason why our recruitment policies have changed… is because in your department we have experienced that within the Northwest regions, your managers that hire staff in this region hire people that are below the age of 30 that do not even last for a week or a month,” Malapile stated.
This visual evidence allows HR to:
- Tighten Recruitment Criteria: For high-risk demographics and regions, HR can enforce stricter skill cross-questioning during interviews to defeat the “great AI-generated CV.”
- Target Retention Efforts: The data can expose career fields with the highest “jump ship” rates (e.g., Data Analysts, Technicians, Accountants) where employees leave to secure a higher salary (often an “extra R100,000 or R200,000 on their annual revenue”). This informs the need for proactive, market-aligned salary reviews or retention initiatives for specific, high-demand roles.
- Identify Internal vs. External Issues: A retention dashboard can help HR determine the root cause of turnover. Is it a “hiring problem” (poor candidate selection) or an “internal problem” (poor management or culture) within a specific department?
Malapile concluded by emphasizing that the dashboard merely tells the story, but it is the HR leader’s responsibility to understand and act on the narrative, securing the organization’s most valuable asset: its people.