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Beyond Productivity: The journey to the quantified organization

It’s time to measure what you should, rather than simply what you can. Become a quantified organization.

The last few years have changed the nature of work. The hybrid workforce is now the norm and the way we all work with data and AI is transforming.

These new data sources can provide you with a holistic view of your organization if you measure what you should, not just what you can.

Now is the time to harness technology, empower your people, and create shared value for your organization, people and society as a whole. 

Ready to make data work for your workforce?

With the exponential growth of work and workforce data, organizations have a greater opportunity to gain new insights, innovate, and advance their business and organizational strategy. It’s time to transform to a quantified organization, a new way of looking at your business.

A quantified organization takes a strategic approach to measuring what it should, not just what it can. It takes a responsible approach to using new data sources and AI tools to create value for stakeholders across the organization, improving workforce trust and driving the organization forward to new levels of financial, reputational, and operational performance.

As work becomes increasingly digital, organizations have access to an unprecedented volume of newly available data, and efforts to track work and the workforce are accelerating. But in the rush to adopt such new tools, organizations may be alienating their workers and undermining the very productivity they are attempting to optimize. The solution? Across all industries there is an opportunity, right now, to refocus and harness new technologies. To see the human in the data. As people and machines increasingly interact, they leave an ever-expanding digital trail of work that can be analyzed to create value. From algorithms to analytics, wearables to workforce sensing tools and more—the rise of the quantified organization is here.

The growth in passive workforce data—combined with other sources of information, analytics, and AI—is surfacing new opportunities to create what we call: shared value. This is when an organization uses the data they collect about their workforce to benefit everyone—individual workers, teams and groups, the organization, and society as a whole. The value created at each level can flow between them, reinforcing and amplifying the value created at other levels. By focusing on how to create value, organizations can magnify their impact while strengthening their long-term position.

How can organizations chart a course toward responsible use of workforce data and technology that creates trust, while navigating trade-offs between risk and opportunity? A lack of robust regulation means that many organizations are using new technologies and sources of workplace data however they see fit, without taking any additional measures to ensure responsible data use. This haphazard approach can erode worker trust. Organizations can avoid these pitfalls and create value for themselves and other stakeholders by focusing quantified organization efforts around using responsible practices that build trust. Dive into the detail around four principles of responsibility.