Data-Driven Decision Making

Data-Driven Decision Making

One of the most important things association leaders can do, in the next decade, is create a culture that embraces the analytical mindset. There are more decisions to be made and less time to make them. By understanding the stories in our data, we can make decisions to shape the future with confidence.

The analytical mindset is the ability to ask questions, communicate about data, and understand the context. This includes the business environment of processes, culture, tactics, and strategies. Recognizing that data is a business asset and not the sole domain of IT is the first step and creating a shared appreciation for the power to make good decisions faster with your team is the next.

Become a role model for effective data-guided decision making in your organization, the art and science of storytelling with data, and the tools associations can use today to create powerful visualizations for communicating internally with staff and leadership, as well as externally with members and prospects.

How to Get Started

A great place to start is to benchmark your organization, get recommendations, compare to peer groups, and share with your team. This Quick Online Assessment will allow you to do all of these things.

What is the Analytical Mindset?

The Analytic Mindset is a way of thinking that is revolutionizing the way associations scrutinize their data. Volume of data is one thing, but how you extract value from that data is proving to be much more significant. It drives an organization’s ability to illuminate the context in which their data is acquired, which in turn can optimize the processes, strategies, and tactics.

What to Measure for Maximum Impact

If you miss our keynote at GSAE Tech, we’d be happy to provide tips and resources to keep you moving forward. Nineteen years of working with your association peers has provided valuable perspective and benchmarking that we’d be happy to chat with you.

By applying the Analytic Mindset, you’ll  close the gap between informational volume and finding its actual value. It’s the key to making smart decisions that are not just data-driven, but driven by the most informed perspective on the right data. Examples of how ASAE leveraged data for measurable results are available here.

Lastly, keep these imperatives in mind:

• Assumptions should be questioned
• A picture is worth 1,000 words (or numbers)
• Anything (and we mean ANYTHING) is measurable
• Data should be accessible and understandable
• Insights should be actionable
• Actions should be monitored


Matt Lesnak, VP of Product Development & Technology
Association Analytics




Barbara Woodward