Manage Visual Analytics Effectively

Business Intelligence has changed the way of the business world and opens a new window to data analytics. Your entire organization becomes profitable, in time and in those dollar signs you are always wishing for but can never quite grasp. This article from TDWIdata_visualization[1] explains just how beneficial Visual Analytics, and its versatility, are for a business, but it also reminds us that Visual Analytics can quickly lead you down a messy path if it is not properly managed.

David Stodder gained perspective through his research (study of spreadsheet use, an interview with the director of data warehousing for Helzberg Diamonds, an interview with the director of pricing at Watts Water Technologies, & more) for this article, and his new viewpoints on Visual Analytics is worth sharing.

Visual Analytics tools allows users to work in a self-service environment with less reliance on IT for every question, dashboard, report, etc. Users have more power, and in most cases, this means users can move your organization closer to its final goals. But with this power, comes the ability to mismanage.

If growth in the use of visual analytics tools and applications is not managed carefully, it could also exacerbate the very difficulties that enterprise BI rollouts were intended to solve.

Through his research, Stodder found one consistency that matches 9Dots’ findings and opinions–start eliminating spreadsheet use. Through dashboard and analytics tools’ versatility, there are a variety of ways you can take this first step, but moving out of heavy spreadsheet use means more easily managed data and less confusion and stress in your work days.

The best course is to pursue “managed” or “governed” self-service that features good communication and division of responsibilities. A best practice is to establish a governance or center of excellence committee to support growth in self-service visual analytics. In this way, enabling “the masses” to be more data-driven in their daily strategic and operational decision making can be a realistic goal.

The key BI objective that Stodder has found through his many inquiries into well-run, profitable companies, is one that is consistent with our blog posts: “improving operational efficiency and performance through better information flow.” With visual analytics tools, users are offered a new set of tools that meets this objective AND it’s no more challenging to use. We understand that change can lead some of us into a frenzy, but it’s no better than the frenzy your already dealing with in your day-to-day. As long as the tools are managed and deployed correctly and your organization is comfortable with how to use it, they will push forward into new data environments AND improve your business.