How to embed data-driven decision-making into your organisational culture

Learned a lot lending an editorial hand here:

InsideHR, November 20, 2018

by Jeff Mike



Thanks to the increasing sophistication of analytics, data and algorithms can inform and improve management, business, and HR decision-making throughout companies. But, the tools of data collection and decision-support algorithms are only one element in the quest to attain the full potential of analytics.

Another is the ability of employees at all levels to use these tools, a challenge that will require a broad-based upskilling of the workforce. And, there’s an additional element – the willingness to employ analytics to make decisions. Compounding all of this is the fact that organisations today are becoming social enterprises, where the ability to manage social, environmental and governance concerns are as important as financial returns. In this environment, workers have more influence than ever. Their voices are amplified through social media and other means, meaning errors made by an organisation can have far-reaching consequences.

So, what does all of this mean? To create a willingness to use more data and unbiased decision-support algorithms, a mindset of data-driven decision-making should be embedded in the organisational culture in a way that benefits employees in their work as well as other stakeholders. The need for a data-driven culture is important and shouldn’t be underestimated.

In fact, this need is one of the top findings in Bersin’s High-Impact People Analytics research, which revealed that a company can fully utilise people analytics only if – and when – using data to make decisions becomes part of the culture, or “how we do things around here.” In fact, the research determined that organisations that have achieved the highest levels of people analytics maturity are three times more likely to have such a culture than organisations at lower maturity levels.

However, just making the decision to implement a mindset of data-driven decision-making into an organisation’s culture won’t work. In an analytics-friendly culture, data-driven decision-making isn’t an afterthought, an add-on, or a justification; rather, it is a shared mindset in which:

• Everyone recognises that data and analytics are essential to sound decision-making;
• They use data and analytics in their decision processes for all aspects of the enterprise including financial, social and environmental well-being;
• They use data and analytics to monitor – and adjust – decision outcomes to ensure desired results and to prevent bias.

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