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Analysis and Action with Survey Data

Association Analytics

The post Analysis and Action with Survey Data appeared first on Association Analytics.

Analysis 321
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Analysis and Action with Survey Data – 11/17/21

Association Analytics

The post Analysis and Action with Survey Data – 11/17/21 appeared first on Association Analytics.

Analysis 169
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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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A crash course on trends analysis using Candid’s Foundation 1000 data set 

Candid

One of the most common reasons people analyze Candid’s grant data is to understand year-over-year giving trends in the sector. To do so, it’s easy to assume that the best place to start is with as much data as possible. Instead, we rely on a data set called the Foundation 1000. What is the Foundation 1000?

Analysis 116
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The Retention Ripple Effect: Nonprofit Staff and Donor Dynamics

Speaker: Andrew Olsen, CFRE - EVP, Fundraising Solutions at DickersonBakker | Kat Landa, CFRE, CSD - SVP, Talent Solutions at DickersonBakker

Through a comprehensive analysis of industry data, experts argue that there is a direct correlation between donor burnout, donor retention, and the talent retention crisis. Across the nonprofit sector, organizations invest heavily in donor retention efforts, yet the struggle of cultivating lasting relationships remains.

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The GivingTuesday Data Commons Unveils Rethinking Resilience Report

NonProfit PRO

The GivingTuesday Data Commons released Rethinking Resilience: Insights from the Giving Ecosystem. In this report, the Data Commons presents a holistic view of global giving in 2022, reflecting the full breadth of the Data Commons’ initiatives, partnerships, data, and analysis.

Report 244
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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