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Three Data-Informed Strategies for Better Member Engagement

Association Analytics

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. Once the team aggregated the data and they were able to form a hypothesis, test it and confirm a need.

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How to Start Your Data Analytics Journey

Association Analytics

The team at Association Analytics often hears questions like, What exactly is data analytics? To help answer these questions, we’ve laid out some helpful tips on how to get started and where to go from there. What questions are you trying to answer with analytics? Collect Your Data Even If Its Not Perfect.

Analytics 169
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Making meaning of Candid’s free demographic data set 

Candid

Today, Candid released our latest research manual, Analyzing Candid’s demographic data. nonprofits currently share some demographic data about their staff and board with Candid. In fact, about 1,000 nonprofits are now adding demographic data to their Candid profiles every month. Over 62,000 U.S. For example, U.S.

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Becoming a Data-Driven Association

Nucleus

Excerpted from “Why Is It So Hard to Become a Data-Driven Company?” ” by Randy Bean – published February 5th, 2021 According to Harvard Business Review, thriving as a mainstream organization today means being data driven. Reexamine ways that you think about data as a business asset for your organizations.

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Surveys: Collect and Act on Your Data in 2021 and Beyond

Nucleus

With the number of data collection tools available on the internet for little or no cost, it’s tempting to inundate members with surveys about everything from the color of the annual meeting theme to crucial issues like dues increases or social issues. What question are we trying to answer? or multiple choice questions (e.g.,

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5 Critical Facts You Need to Know About AI

The MatrixFiles

It’s critical to ask the right questions when evaluating products or services marketed as AI-powered. For example, if you ask a generic question, you’ll likely get a generic answer. Whether it’s generating inaccurate information, misinterpreting data patterns, or offering biased results, AI is not infallible.

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Collecting data during a humanitarian crisis

Candid

In the social sector, the questions that often emerge are: Which organizations are addressing the crisis? As the largest source of data on philanthropic and nonprofit organizations, Candid fields many of these questions. . It takes more than two years to collect comprehensive data about U.S. foundations’ giving.

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