We help Associations get a complete, accurate, and trusted view of ALL their data.
Purpose-built analytics software that deduplicates and blends your data silos to inform strategy, decisions and actionable-lists.
Let us show you the transformative impact of simple to implement and affordable purpose-built Association Analytics.
Seeing is believing!
Purpose-built for you
of associations struggle because data is captured and stored in disparate, disconnected systems
That's why was created
Acumen is a cloud-based platform purpose-built for association analytics and business intelligence.
OUTCOMES WITH ACUMEN
Additional revenue, scoring engagement, maximise marketing, higher event attendance, and more.
Improved efficiency and reduced risks.
Single source of trusted data.
Insights to drive strategy and decision-making.
Actionable lists using real-time trusted data.
Acumen is built on industry-leading technologies Microsoft Power BI and for cloud infrastructure, Amazon Redshift and Amazon S3. We use a hybrid data lake and data warehouse approach for maximum benefit to customers.
Acumen uses the market leader for data visualization, Microsoft Power BI. Our solution is scalable for any need and produces modern, impressive data visualizations that can be customized to fit your business objectives.
ROBUST INTEGRATIONS AND PARTNERSHIPS
We focus exclusively on associations and have pre-built data integrations into key source systems. We make it easy to bring together data from anywhere to get a single source of truth for data.
FAST TIME TO VALUE
Acumen is a software-as-a-service (SaaS) solution that’s easy to implement, with high product adoption. We provide a complete solution that includes maintenance, hosting, licenses, upgrades, and support.
EXPERT TEAM OF DATA PROFESSIONALS
We have a team of certified professionals and experts in data, who have extensive experience working directly with associations to manage analytics. This reduces risk, saves time, and allows customers to stay on top of technology trends and focus their time on analysis, rather than data wrangling.
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