Interactive Benchmarking Provider Signs Association for Animal Welfare Advancement and Welcomes Maine Municipal Association for Return Engagement.
Lisa Vivinetto to Speak on How to Effectively Engage New Association Members
New interactive benchmarking tool streamlines and improves benchmarking process for association
Our team and our customers have been busy educating the public about the benefits of benchmarking. See where we’ve been and find out about upcoming opportunities to learn more about benchmarking in the coming weeks.
The American Society for Gastrointestinal Endoscopy and the Society for Interventional Radiology Receive 2018 Power of A Awards
Innovative Benchmarking Software Provider Expands Offerings to Existing Clients and Continues to Add New Customers.
Interest in our New Member Engagement Study continues to grow, with numerous speaking engagements and interview requests coming in on the topic. We encourage you to continue to learn more about the study and contribute to our ongoing research that’s making a significant impact on association member engagement. In the meantime, check out these great interviews and events and be sure to welcome our newest clients too!
In an economy where finding and retaining top talent has becoming increasingly challenging, organizations need reliable, timely data that provides the assurances that they are offering competitive compensation packages. Having the precise and relevant data from quality salary compensation surveys can help organizations understand if, in fact, they are offering competitive salaries and appropriate benefits packages. Associations often provide these salary compensation surveys to their members, which is viewed as a very valuable business intelligence, a benefit often cited as a primary reason for association enrollment.
Peer Cluster Filtering is an optional feature in Dynamic Benchmarking platforms that uses a group of named accounts as the comparison data set (an account contains the data supplied by a participant and typically represents an organization, facility, company, etc.). Like criteria-based filters, peer cluster filter results are shown in the “aggregate” which means that no individual data points or responses are exposed. Strict data minimums must be met for results to display, which ensures anonymity while still offering a unique way to select a comparison data set. This makes Peer Cluster Filtering a highly valued feature by many of our clients.