The advancement of modern computers and the expansion in data visualization tools have created a big shift in focus toward data analytics. Data analytics relies on information organizations already have to make better decisions about issues they’re facing on a consistent basis.

There are plenty of narratives out there about artificial intelligence (AI) and machine learning that relate to data analytics, but within your organization most of the data work being done is probably much less complex.

Often what falls under the data label at a firm is as much about reporting as it is analysis. Data science or data analytics can sound complex, but most likely refer to processes you already have in place.

Here, we outline the benefit of being a data-driven organization, pain points, potential solutions, and next steps to help your organization integrate data analytics into its operations.

Benefit

Integration

Adding empirical information, brings an element of rigor that can elevate an experience-driven assessment to a building block of a data-driven environment.

Analytics exist in a broad spectrum that includes everything from the highly qualitative assessment to the entirely quantitative statistical model. Crossing the chasm between intuition and data is frequently a back-and-forth match that requires multiple iterations to get the right measures, context, and delivery.