5 Examples of HR Professionals Using Analytics For Better Productivity

How HR Professionals Using Analytics

Hired to deliver on human resources, HR professionals often find themselves juggling a number of tasks – minimise time to hire, find the best PO (Person-Organisation) and PJ (Person-Job) fits for their organisation, performance reviews, grievances, and more to handle everything from their onboarding to their departure – HR is an inevitable part of an employee’s entire journey in an organisation. Advanced analytics is now paving way for recruiters to hire smarter, manage better, and seek smart opportunities for themselves to speed up all processes. Here are 5 case studies that illustrate how HR  professionals use analytics to solve problems and serve as a cue for all HR professionals to start upskilling asap:

Examples of How HR Analytics are being used

1. Telecom Company Cuts Recruiting Time by Half and Hires 100 High-Impact Specialists Within Three Years – a major European telecom company sought to compete with global media and IT players by embracing the internet telephony revolution and building businesses in both mobile networks and digital television. McKinsey worked with the HR director to create a three-year program to turn the telecom company into a people leader. Read the complete case study here.
2. Coca-Cola Enterprises (CCE) Case Study: The Thirst for HR Analytics Grows – The HR analytics journey within CocaCola Enterprises (CCE) really began in 2010. Given the complexity of the CCE operation, its global footprint and various business units, a team was needed which was able to provide a centralised HR reporting and big data analytics service to the business. This led to the formation of an HR analytics team serving 8 countries. Read this one-of-a-kind case study about CCE moving from descriptive reporting towards correlation analysis.
3. Rapidly Simplifying An Organisation Turns Around Performance – A global logistics company, historically an industry leader, had seen its performance lag its competitors’. Its overhead costs were significantly higher than average—driven by a complex, oversized organisation with a large regional staff and cumbersome processes requiring multiple handovers. A 5-month restructuring effort from McKinsey reduced organisational complexity and achieved new efficiencies that help deliver $2 billion in incremental profit. Know how.
4. Implemented an Enterprise-Wide Data Quality Management Program – ISG (Information Services Group) of the client organisation is responsible for driving information usability and use analytics to generate better insight and enable data-driven decision making. The client partnered with Mu Sigma to implement a comprehensive enterprise data quality management capability that enabled the business to reduce operational inefficiencies which led to the reduction in overall costs (detection costs, prevention costs, correction costs, rollback/ rework costs) by 5% percent. Read the complete case study here.
5. Use Analytics to Drive Business Performance: A Case Study – The company had already exhausted most traditional strategic options and was looking for new opportunities to improve the customer experience using analytics. Operating a mix of franchised outlets, as well as corporate-owned restaurants, the company was suffering from annual employee turnover significantly above that of its peers. An interesting read about how this company used analytics and big data to solve its problems.

Sources: Mu-Sigma, McKinsey, CIPD.