Can data predict the future?

Businesses have long relied on data to analyse the past. But now, data offers something even more powerful: foresight. TATENDA GWESHE writes that organisations are increasingly able to confidently infer valuable data signals regarding their employees’ plans and intentions.

Predictive analytics can improve employee engagement, reduce costs and boost morale. If your top talent were considering leaving, wouldn’t you want to know? If a wave of disengagement was coming, wouldn’t you want to intervene? The ability to detect early warning signs could be a game-changer for organisations.

Learning from the past

Even basic data has value. Monthly spreadsheets help businesses compare sales trends and customer buying behaviour. Similarly, employee engagement platforms track morale and engagement trends over time, highlighting key moments where engagement spiked or declined, thereby prompting deeper investigation.

Unlike traditional reports that reveal trends only at month-end, real-time engagement platforms offer instant visibility. A sudden spike in engagement could signal excitement over a new project, or frustration with a process bottleneck. Spotting these trends in real time allows for swift action, preventing issues from escalating.

Predicting what’s next

Employee engagement platforms do more than track morale; they capture behavioural data. If a driven and motivated manager – known for posting daily recognition messages about their top-performing team – has recently gone silent, they may be experiencing burnout and disengagement. A star employee who suddenly redeems all their rewards mid-year (instead of at the usual year-end) might be preparing to resign.

Individually, these actions may seem insignificant, but when aggregated, patterns emerge. A tried-and-tested software as a service (SaaS) engagement platform can connect these dots, providing valuable predictive insights. This type of platform doesn’t replace human intuition, but does dramatically enhance it.

The predictive power of data

Take a hypothetical company, Acme. By analysing years of engagement, rewards, leave and resignation data, Acme can identify behavioural patterns that signal an impending departure. By comparing current trends against historical norms, it can flag at-risk employees and intervene before they leave.

This predictive capability isn’t just for the organisation as a whole; it can be applied at an individual level. While this might sound like Big Brother, the goal isn’t surveillance, but rather the retention of top talent. If employees are feeling disengaged, wouldn’t you want to address the issue before they resign?

Data costs and benefits in employee engagement

The financial impact of predictive analytics is significant. Jannie Els, a data science strategic partner of Achievement Awards Group, analysed absenteeism data to predict resignations using a model that achieved 71% accuracy in identifying employees likely to leave.

For a company with 11,000 employees, intervening successfully just 70% of the time could save R28 million – but beyond cost savings, retaining top talent improves morale, productivity and overall company culture.

Hindsight is 20/20, but foresight has long been considered guesswork. Data changes that. By leveraging predictive analytics, organisations can take proactive steps to enhance employee engagement, reduce turnover and build a great work culture.