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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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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
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[Free Webinar] The Top 5 Benefits of Adopting a CRM System at Your Nonprofit

Nonprofit Tech for Good

The effective accounting, donor management, and data analysis of donor activity has become essential as nonprofits have embraced online fundraising, virtual events, and fundraising on social media in recent years. Implementing a CRM system can: Establish one system of record for all data.

Adopt 219
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Connecting the dots: Fighting for equity through a data partnership 

Candid

When the Supreme Court gutted race-conscious admissions last summer and the American Alliance for Equal Rights followed with a lawsuit against the Fearless Fund, some in the philanthropic sector feared that demographic data had become a potential liability. They built a public API and released a public data set.

Data 98
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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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8 Artificial Intelligence Concepts & Terms for Nonprofits

Nonprofit Tech for Good

8 AI Concepts and Terminology Artificial Intelligence (AI): The simulation of human intelligence processes by machines, especially computer systems. Machine Learning (ML): A subset of AI that enables systems to learn from data and improve their performance without being explicitly programmed.

Technique 209
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Is Your Association Using Data to Increase Event Revenue?

Association Analytics

Whichever format you choose, you should consider your historical event data as you develop your event marketing strategy. Be deliberate as you start to dig into the data you need. In our previous blog posts on retention and product value , we illustrated how data isn’t one dimensional. Does it fluctuate? ).