Remove Language Remove Report Remove Taxonomy Remove Track
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Top Ten Data Challenges (And Solutions) for Associations

Association Analytics

If you’re struggling to find someone to share your data woes with, we’re here to help you decipher the signs and get you back on track. Older models tended to be AMS-centric, leading to siloed data, static reports, and that trapped feeling. But when it comes to a troubling relationship with your data, can you turn to those same people?

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3 Reasons to Love Outcomes Measurement

Tech Soup

With a sector-sourced (and always growing) taxonomy of outcomes and output measurements, this common language will enable those who are already successful in achieving impact to share best practices and for those who are struggling, or just starting their outcomes journey, the ability to jump in. Apples Are Apples; Oranges Are Oranges.

Measure 36
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Having Greater Impact Through Community and Collaboration

Connection Cafe

Wouldn’t it be nice if we could all speak the same giving, measurement and outcomes language? And wouldn’t it be even better if we could work together to grow that common language? The reality is, there doesn’t seem to be agreement across the sector on definitions and measurement— we aren’t really speaking the same language.

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3 Reasons You’re About to Love Outcomes Measurement

Connection Cafe

With a sector-sourced (and always growing) taxonomy of outcomes and output measurements, this common language will enable those who are already successful in achieving impact to share best practices and for those who are struggling, or just starting their outcomes journey, the ability to jump in. Transparency replaces wondering.

Measure 20
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Report Back from the Do Good Data Conference 2015

NTEN

The 20-person department pulls the information from scanned PDFs of the filings, enter the information into their database, and classify the information in the Foundation Center taxonomy. They created a data warehouse that tracked not only student progress in school, but progress from cradle to career.

Data 36