Analytics is not a project with a nice deliverable that you put on a shelf. It is a continuous cycle of understanding and improving business process performance. It should focus on high-impact areas, and ask smart questions. Organizations that have mastered applying analytics to support enterprise decision-making tend to focus on seven analytic principles as they strive to accelerate workforce adoption and capture more value.
Today’s great competitors are increasingly those that are able to seize the advantage of insight. They recognize the potential value of the tremendous amount of data they are collecting, creating, and curating. And they’re using deep analytics capabilities to translate that potential into real business results.
Analytics is at the forefront of the C-suite's agenda these days. Operating in today's complex, highly regulated business environment, leaders can no longer just "trust their gut." Most companies already have at least a subset of the capabilities they need to engage in business analytics. The challenge is to push those capabilities even deeper into the organization — from business executives to the front lines.
As more and more organizations pursue analytics as a business tool, those that can effectively use analytic insights to inform high impact processes and decisions have the opportunity to outperform those that lag behind.
Analytics is not a project with a nice deliverable that you put on a shelf. It is a continuous cycle of understanding and improving business process performance. It should focus on high-impact areas, and ask smart questions. Organizations that have mastered applying analytics to support enterprise decision-making tend to focus on seven analytic principles as they strive to accelerate workforce adoption and capture more value.
These seven principles are enumerated below to assist as you embark on your analytics journey and help move your organization beyond traditional business intelligence toward deeper insight and distant foresight: