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Top Ten Data Challenges (And Solutions) for Associations

Association Analytics

But when it comes to a troubling relationship with your data, can you turn to those same people? 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.

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Study the Data, But Eat the Cake—Put the Human Factor Forward

.orgSource

But when the stakes are high, data is the knife that cuts through preconceptions to uncover the objective truth. AI turns that knife into a laser taking data-driven decision-making to unprecedented levels of accuracy, efficiency, and ease. AI provides a satellite image of an entire data landscape. Not necessarily so.

Data 221
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From Data Deluge to Impactful Decisions: Mastering Data in Grantmaking

sgEngage

Applications, proposals, progress reports, impact metrics – the data collected throughout the grantmaking lifecycle is vast and ever-growing. While this data holds immense potential to improve decision-making and maximize impact, harnessing its power can be a challenge.

Data 70
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Why your organization needs to reinvest in the state of its member data

Nimble AMS

What is the state of your member data? According to Community Brands 2022 Association Trends Study, while data analytics is a higher priority for organizations, just one-third of association professionals report their data is excellent or very good. Reporting on the state of member data.

Data 140
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Demystifying Candid data 

Candid

Among Candid’s top evergreen priorities is to ensure we both have the best data possible for the sector and that we get it into the hands of all who can benefit. This is key to living up to our nonprofit mission to provide data as a sustainable public good that supports the entire sector’s success. Add real-time data.

Data 85
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Data as Decision in Grantmaking

sgEngage

In grantmaking, one word makes more eyes glaze over than any other – data. With one shift in our understanding about data, we can reclaim a sense of wonder, creative agency, and value in our data work: Recognizing that information does not equal data and data does not equal knowledge.

Data 100
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Don't Let Association Data Myths Hold Back Your Analytics

Association Analytics

The three most common myths that hold associations back from getting started on their analytics journey are data cleanliness, data governance and data strategy. Most think that these steps must come before data analysis, when, in fact, they can be developed together, step-by-step.

Analytics 260