Why do many senior managers distrust big data?

'Data analytics should complement, not replace, intuition'

Why do many senior managers distrust big data?

Many top executives are failing to capitalise on the benefits of big data, opting to rely on their own intuition, according to a new Massey University study.

The aim of the research was to examine the impact of data analytics on managerial decision-making.

It involved Dr Nazim Taskin and Professor David Pauleen from Massey’s School of Management, with colleagues from Auckland and Queensland Universities, surveying 116 managers from mostly large and medium-sized New Zealand businesses.

Even though there is growing awareness of big data, most managers are cautious about using analytics for making decisions due to concerns about data reliability, added Dr Taskin.

“Nearly two-thirds of the managers interviewed said they had no confidence or trust in big data, preferring to rely instead on their intuition and experience to make decisions,” he said.

“One-quarter of participants also confessed they had only a modest knowledge of what big data is, or what it can do.”

The study also found those who favoured analytics over intuition were more often mid-level managers who were not in a position to use big data insights for strategic company decisions.

“Our research revealed top executives are generally not as competent as they could be in using analytic tools and techniques,” said Dr Taskin.

“It seems they rely on other managers within the organisation to generate big data insights, and those insights are used to confirm their own intuition or are ignored if they conflict with their gut feeling.”

However, this is not to say that using intuition is wrong, said Dr Taskin.

“Data analytics should complement, not replace, intuition. But, to make wise decisions, top level executives need to be able to judge the relevance, value and ethical implications of big data insights.”

The study also showed conflicting notions of the value of big data between top-level and mid-level managers. Mid-level managers tended to seek insights to improve business processes, while top-level executives sought insights to improve the company’s bottom line.

Dr Taskin added that developing the technical understanding of analytics within the top tiers of management will ensure organisations receive the most value from the data they collect.

“Simply collecting data without the skills to analyse it is costly, and analysis without direction can be deadly,” he said.

“On a positive note, it’s clear that once a manager experiences good outcomes with big data, it builds confidence in applying analytics tools more regularly.”

Moreover, Dr Taskin is now undertaking research to better understand the impact of intuition and data analytics on decision-making among senior managers.

“We hope further investigation will allow us to identify the factors inhibiting the effective use of big data, and how these might be remedied.”

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