It may not be intuitive to link something that is perceived to be as nebulous and qualitative as company culture to a quantitative, very nuts-and-bolts concept like internal business process. Surprisingly, these two concepts are much more interdependent than what meets the eye.
Internal business process is dependent on the thoughts, beliefs, norms, and behaviors of those tasked with adhering to it. On the other hand, company culture is woven into many aspects of an organization, including its systems and processes. Companies and teams with misaligned cultures can expect to experience more deviant behavior from their employees for a host of different reasons. This can include deviation from the norms surrounding internal business processes, where employees tend to complete tasks in their own way or build their own “way of doing things” altogether. If the culture is misaligned across the organization, shared accountability suffers and can perpetuate more variance in the way people accomplish their tasks. Read More…
Let’s face it- technology has our brains inundated with unprecedented amounts of information. As a result, we’ve developed countless platforms and pieces of technology infrastructure that keep us organized, efficient, and profitable. The advent of technology in the business world combined with its future potential makes this an exciting time for us all. Technology can rapidly access troves of data in seconds, enabling us to make decisions that are much more informed than those of yesteryear. However, we should think of these technological capabilities as tools to help us make more informed decisions, not as mechanisms to make decisions for us. Although this advice can be applied in several domains, it’s no more relevant than in the world of people analytics.
So what is “People analytics”?
People analytics, in layman’s terms, refers to the analytical method used to make decisions about human resources and human capital in an organization. People analytics informs HR strategy, hiring/downsizing efforts, and selecting the right candidates (to name a few). Fortunately, we’ve developed technological platforms that can assess and analyze certain variables to “predict” an employee’s success in his/her role. This can be done through simple correlation tables, more complex regression models, or even through advanced predictive modeling. Regardless of the method of analysis, organizations want to know they’re hiring the right person for the right role. They also want to know how to keep these people while understanding what contributes to longer tenure, or on the flip side – higher turnover.