An exciting new metric, “Influence”, is making its way into the enterprise market. While most influence research has been applied to the internet at large, it is tempting to apply this concept to interactions inside of a company.

The analytics community can help those outside our discipline to understand that numbers make it possible for employees to be found and valued inside of our businesses.

After attending several analytics conferences over the last month, I’m beginning to understand an important nuance about the community we call “analytics” worked by “analytics professionals” or “data scientists.” It seems as if the defining boundary of our discipline is almost always that we data scientists apply ourselves to business, organizational, and market data.

As the discipline of analytics grows and becomes more complex, it becomes more critical to understand the people who are well suited to this sophisticated challenge. True Analytics Professionals (that go beyond spreadsheet work, standard BI reporting tools and ad-hoc SQL queries)…

It is a common and natural question for leadership to wonder what “human factors” drive (or hinder) performance in their enterprise.  And further, whether it is possible to reliably measure these factors and use them for ongoing improvement. In today’s discussion we will share some of our thinking and research to build models that measure [...]