Who downloaded from Association TRENDS’ Free Resource Library in 2021? Download to see: Total Organizations Top Industries Budget Range Staff Size and more! Stop letting your messaging fall on unengaged ears! Let Association TRENDS put your whitepaper, report, or content piece in front of our dynamic and interactive association audience! Association TRENDS can help you
As someone who interacts with your membership data every day, you see the number of duplicated and outdated records that are crowding your database. Do you want to invest in a data clean-up project but aren’t sure how to convince your team? For too many associations, “data” is an asset to be used, not understood.
Today, associations require a greater degree of agility and adaptability than ever before. To achieve that, they need to rely on data as an integral part of decision making. New tools are transforming the way associations use data by enabling non-technical users to understand and use data in their jobs every day. Easy and direct access to relevant
Today’s associations are fast-moving, well-informed, and impatient. And with more information– and more options– at their fingertips, they’re going to be even tougher to please tomorrow. You may be asking yourself, “What AMS should I use?” and “How do I keep up?” You’ll need an AMS built to create relationships that last. Even the most
According to the United States Postal Service, there were 35,900,000 address changes in 2020 alone. Combined with turnover and other life changes as a result of the pandemic, 2021 was a busy year for Bumblebee. Our hive was buzzing with dirty, duplicated member data of years past. Bumblebee cleaned 1,291,454 association records in 2021….and counting!
All associations struggle to keep up with data hygiene amidst dueling challenges of staff time/experience limitations and a constantly changing world. Member and prospect records become out of date, data standards may not be in place, and the number of duplicate records requiring resolution continues to pile up. We know starting a data clean-up process