Data analytics is a topic of increasing relevance and priority for organizations of any size or sector.
As you explore different analytics pathways, options and solutions, there are common themes around design, workflow and business requirements, as well as important technical, social and cultural considerations, that must be aligned with organizational goals, priorities and expectations.
Ultimately, the value proposition of data analytics is to help 1) improve results and 2) gain operational efficiencies. Despite the simplicity of these goals, data analytics can be challenging to implement and realize at scale for many organizations.
In the following article, we will explore some ways to effectively organize, contextualize and drive analytics adoption efforts within your team, department or organization.