From People to Patterns: Should HR Professionals Become Data Wizards?
Success Stories in HR Analytics
eBay is a key company that uses HR analytics to make
data-driven employee decisions. Using Visier People, an HR analytics tool
provided by Canadian Visier, eBay dissects the whole employee experience, from
creating development plans and remuneration packages to customizing perks
Scott Judd, Senior Director of People Analytics & Technology at eBay, explains the importance of HR analytics as follows:
Google
uniquely employs analytics by polling workers regularly. They optimize and
match their HR procedures and the working culture using the feedback or data. With
an average participation rate of 90%, they have a lot of engaged workers, which
shows that they have succeeded in enhancing company techniques and morale (McNeill, 2020). Employee mobility and turnover are WalMart's emphasis. With HR analytics,
Walmart can highlight employee responsibilities and advancement opportunities,
particularly in talent development and competence. Better results in almost
every area of the business result from increased efficiency and productivity (McNeill, 2020).
Way
More to Go…….
The majority of companies worldwide still need to prepare to implement and integrate HR analytics despite its perceived value, according to Deloitte (2018). Another survey was conducted by HR. Research Institute (2021), considering 302 HR professionals, just 29% consider themselves excellent or very good at using people analytics to make positive changes, while 35% consider themselves "moderate" at best. This implies that around one-third of HR professionals need to improve their use of people analytics to bring about positive change. One of the biggest obstacles is the company culture. Further impeding this shift is the need for more analytically minded individuals and the corresponding software and hardware (Fernandez & Gallardo-Gallardo, 2020).
Organizations may address the shortage of analytics-savvy HR workers and the associated infrastructure issues in numerous ways:
- Invest in Training: Create courses to help human resources experts become more analytical.
- Integrate Data-Driven Culture: To transform the organization's culture, leadership should prioritize data-driven decision-making.
- Recruit Analytical Talent: To close the gap, the company should hire people good at analysis.
- Invest in Technology: Put money into the HR analytics software and hardware need.
- Teamwork: Promote teamwork across HR and other departments, such as IT, to facilitate sharing of information and resources.
To
Conclude
Integrating HR analytics is ongoing, but the path forward is clear. Investments in talent development, a data-appreciating culture, targeted hiring, enhanced technological capabilities, and cross-departmental collaboration are all critical. By embracing these strategies, human resource professionals may thrive in today's data-driven environment. In addition, they can turn ideas into actions and take their businesses to the next level.
References
AIHR, (2019). How Does HR Analytics Help HRM? | AIHR Learning Bite. [Online]. Available at: https://www.youtube.com/watch?v=lTzWGaFpimk. Accessed on 18 March 2024.
Boatman, A., (2024). 4 Types of HR Analytics [With Examples]. [Online]. Available at https://www.aihr.com/blog/types-of-hr-analytics/. Accessed on 18 March 2024.
Deloitte, (2018). 2018 Global Human Capital Trends, London: Deloitte. [Online]. Available at https://www2.deloitte.com/us/en/insights/focus/human-capital-trends/2018.html. Accessed on 17 March 2024.
Edureka HigherEd, (2023). What are HR Analytics and Metrics?. [Online]. Available at https://www.edureka.co/blog/hr-analytics-and-metrics/. Accessed on 18 March 2024.
Fernandez, V. & Gallardo-Gallardo, E., (2020). Tackling the HR digitalization challenge: key factors and barriers to HR analytics adoption. Competitiveness Review: An International Business Journal., pp. 1-44. [Online]. Available at https://upcommons.upc.edu/bitstream/handle/2117/332828/HR%20digitalization%20challenge.pdf?sequence=3. Accessed on 17 March 2024.
Gupta, S. & Sharma, R., (2022). Types of HR Analytics Used for the Prediction of Employee Turnover in Different Strategic Firms with the use of Enterprise Social Media. Proceedings of the 5th European International Conference on Industrial Engineering and Operations Management Rome, Italy, pp. 1977-1994. [Online]. Available at https://www.researchgate.net/publication/368313154_Types_of_HR_Analytics_Used_for_the_Prediction_of_Employee_Turnover_in_Different_Strategic_Firms_with_the_use_of_Enterprise_Social_Media. Accessed on 17 March 2024.
HR. Research Institute, (2021). The State of HR Analytics 2021, Canada. [Online]. Available at https://www.oracle.com/a/ocom/docs/applications/human-capital-management/hrt-talent-analytics-hrdotcom.pdf. Accessed on 17 March 2024.
Marr, B., (2023). The Evolution Of Data-Driven And AI-Enabled HR. [Online]. Available at https://www.forbes.com/sites/bernardmarr/2023/12/08/the-evolution-of-data-driven-and-ai-enabled-hr/?sh=218555501549. Accessed on 18 March 2024.
McNeill, M., (2020). How 5 Successful Companies Are Using HR Analytics. [Online]. Available at https://www.icslearn.co.uk/blog/human-resources/how-5-successful-companies-are-using-hr-analytics/. Accessed on 17 March 2024.
Tata Consultancy Services, (2024). Effective Decision-making with HCM Transactional Dashboards. [Online]. Available at https://www.tcs.com/insights/blogs/hr-analytics-dashboard-effective-decision-making. Accessed on 18 March 2024.
Visier, (2024). Customer Story: eBay. [Online]. Available at https://explore.visier.com/customers/ebay. Accessed on 17 March 2024.
White, J. & Bottorff, C., (2023). HR Analytics: Definition, Best Practices & Examples. [Online]. Available at https://www.forbes.com/advisor/business/hr-analytics/. Accessed on 17 March 2024.




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Great article, Kanchana! Your clear and concise writing style made the topic of HR analytics easy to understand. I particularly appreciated the real-world examples you included, which helped illustrate the importance of data-driven decision-making in HR. Your practical suggestions for overcoming adoption challenges were spot-on. Looking forward to reading more from you.
ReplyDeleteThank you Dinesha!
Delete
ReplyDelete"From People to Patterns: Should HR Professionals Become Data Wizards?" raises the question of whether HR should embrace data analytics more extensively. It suggests that adopting a data-driven approach could enhance HR's ability to understand and cater to employee needs effectively. However, it also underscores the importance of maintaining the human touch in HR practices. keep in touch with like this great articles.
Thank you Anjali
DeleteHR analytical article is easy-to-understand & we can enhance our knowledge. Good work
ReplyDeleteThank you Manoji!
DeleteOverall, the blog effectively underscores the significance of HR analytics in driving organizational success and offers practical insights into overcoming challenges and implementing effective HR analytics strategies. well done!
ReplyDeleteThank you Sameera!
Delete“Useful post & Great article, Kanchana!
ReplyDeleteThank you Geeth!
DeleteAs a data scientist, I totally agree with this article! It's crystal clear about how important data is becoming in HR. Breaking down HR analytics into different types makes it easy to understand their benefits, from making better decisions to saving money.
ReplyDeleteThe idea of HR professionals becoming data wizards is spot on. It's not just a trend; it's essential for staying ahead in today's world. Great job on shedding light on this crucial aspect of HR!
Totally agree with you! We live in information age so we cannot disregard important of data for our decision making.
DeleteGood job dr, keep it up
ReplyDeletethanks Piyumi! Hope you enjoyed reading
DeleteHR professionals should be trained in data analytics to navigate the volatile, uncertain, complex, and ambiguous (VUCA) business environment. HR analytics, also known as people analytics or talent analytics, focuses on gathering and analyzing HR data to support smart business decisions. It plays a pivotal role in strategic management of modern businesses, providing evidence-based insights for better decision-making, talent management, performance management, cost reduction, and competitive advantage. HR analytics can be classified into four types: descriptive, diagnostic, predictive, and prescriptive. Success stories include eBay using Visier People to make data-driven employee decisions, Google optimizing HR procedures and working culture, and Walmart highlighting employee responsibilities and advancement opportunities. However, many companies still need to integrate HR analytics despite its perceived value. Solutions include investing in training, integrating a data-driven culture, recruiting analytical talent, investing in technology, and promoting teamwork. By embracing these strategies, HR professionals can thrive in today's data-driven environment and take their businesses to the next level.
ReplyDeleteagreed on the companies that u mentioned. They are disruptors!!
DeleteAs organizations generate more and more data, the role of HR professionals is evolving. In today's data-driven world, HR professionals must have a solid understanding of data analysis and be able to interpret data to make informed decisions. Therefore, becoming data wizards can help HR professionals gain a competitive advantage and add value to their organizations. So, it's time for HR professionals to embrace data analytics and become proficient in data-driven decision-making.
ReplyDeleteagreed! data driven decison making is key in today's BANI enviornment.
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