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A Deep Dive with CMAA: Getting the Most From All Your System Data

Association Analytics

As associations grow, so does their need for better technology and systems to help them operate. This has been especially true for the Construction Managemen.

System 321
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A Deep Dive with CMAA: Getting the Most From All Your System Data – 11/16/23

Association Analytics

Hear how CMAA has expanded their tech stack with best-of-breed solutions and an analytics platform at the center pulling all the data together.

Data 305
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Don’t Let Dirty Data Spook You Away From Analytics

Association Analytics

Dirty data is a scary phrase for most association professionals. It's that never-ending headache that comes from jumbled data across multiple systems.

Data 321
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Quest for Quality: Your Guide to Overcoming Data Obstacles for Business Success

NonProfit PRO

The first obstacle in any quest for clean data is knowing what’s in it. Download this ebook to learn how data profiling can help you find, fix & monitor the bad data in your system to boost donor engagement, optimize fundraising efforts, and improve decision-making.

Data 277
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Quest for Quality: Your Guide to Overcoming Data Obstacles for Business Success

NonProfit PRO

The first obstacle in any quest for clean data is knowing what’s in it. Download this ebook to learn how data profiling can help you find, fix & monitor the bad data in your system to boost donor engagement, optimize fundraising efforts, and improve decision-making.

Data 278
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Three Data-Informed Strategies for Better Member Engagement

Association Analytics

Most associations don’t have an easy way to measure member engagement across all their different systems and touch points. Step 2: Explore – In addition to reviewing the data in their dashboard, IAEE asked members in its annual member survey and in post webinar surveys about topics they’d like to learn more about.

Data 210
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Data Wrangling Blues

Association Analytics

This was a familiar conversation in our small association where a handful of key employees worked well into many evenings compiling data from multiple sources. We could rely on the accounting system, but only for things that were created and contained within a journal entry. It was always the same story.

Data 321