Great management involves really knowing your staff; here’s how analytics can help

By on 11/02/2021
Today’s technologies can guide and inform managers as they work to develop staff and strengthen workforces

From frontline team management to strategic workforce development, effective leadership is built on a detailed understanding of your staff. And here, data tools can prove invaluable – providing insights and information to guide decision-making at every stage from recruitment to retirement

At every level, management is a people business. To recruit, develop and support staff, team managers need a deep understanding of each individual’s character, talents and weaknesses. And to successfully develop their organisations, senior leaders need a detailed knowledge of their workforce’s capabilities, characteristics and distribution. So it’s always helpful to build a better picture of your staff – and here, emerging technologies are providing some quite remarkable tools.

By identifying patterns and key information in large volumes of data, accurate, timely analytics systems can both help guide managers in leading and developing individual staff members, and provide a workforce-wide picture of talent, expertise and capabilities – improving decision-making from the team level up to the board.

To take a few examples, implementing an end-to-end workforce analytics strategy can help civil service employers to:

  • Recruit the right candidates by using predictive tools to identify the skills and experience that will contribute to employee success in a given role;
  • Utilise talent more effectively by profiling each employee to identify top performers and create focused learning and development opportunities for future leaders;
  • Retain expertise by predictively modelling the risk of each employee leaving the department, enabling HR teams to develop appropriate skills transfer and succession programmes;
  • Optimise incentives, helping HR leaders make the most effective use of budget to shape a well-balanced workforce for the future.

For more details, register below to receive a recent report from SAS Institute on this exciting new field of analytics technology.

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