It seems like every business is struggling with the concept of transformation. Ultimately, this is about changing a system of systems, all made up of the most complex system of all — people. For this reason, organizational transformation is uniquely suited to the analysis, prediction, and experimental research approach of the people analytics field. Those working in this field in Microsoft’s Workplace analytics department find that there are three types of transformations that can benefit from people analytics: process transformation, cultural transformation, and strategic transformation.
It seems like every business is struggling with the concept of transformation. Large incumbents are trying to keep pace with digital upstarts., and even digital native companies born as disruptors know that they need to transform. Take Uber: at only eight years old, it’s already upended the business model of taxis. Now it’s trying to move from a software platform to a robotics lab to build self-driving cars.
And while the number of initiatives that fall under the umbrella of “transformation” is so broad that it can seem meaningless, this breadth is actually one of the defining characteristic that differentiates transformation from ordinary change. A transformation is a whole portfolio of change initiatives that together form an integrated program.
And so a transformation is a system of systems, all made up of the most complex system of all — people. For this reason, organizational transformation is uniquely suited to the analysis, prediction, and experimental research approach of the people analytics field.
People analytics — defined as the use of data about human behavior, relationships and traits to make business decisions — helps to replace decision making based on anecdotal experience, hierarchy and risk avoidance with higher-quality decisions based on data analysis, prediction, and experimental research. In working with several dozen Fortune 500 companies with Microsoft’s Workplace Analytics division, we’ve observed companies using people analytics in three main ways to help understand and drive their transformation efforts.
In core functional or process transformation initiatives — which are often driven by digitization — we’ve seen examples of people analytics being used to measure activities and find embedded expertise. In one example, a people analytics team at a global CPG company was enlisted to help optimize a financial process that took place monthly in every country subsidiary around the world. The diversity of local accounting rules precluded perfect standardization, and the geographic dispersion of the teams made it hard for the transformation group to gather information the way they normally would — in conversation.
So instead of starting with discovery conversations, people analytics data was used to baseline the time spent on the process in every country, and to map the networks of the people involved. They discovered that one country was 16% percent more efficient than the average of the rest of the countries: they got the same results in 71 fewer person-hours per month and with 40 fewer people involved each month. The people analytics team was surprised — as was finance team in that country, which had no reason to benchmark themselves against other countries and had no idea that they were such a bright spot.
