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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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From Data Deluge to Impactful Decisions: Mastering Data in Grantmaking

sgEngage

Strong data governance and data management can help grantmakers navigate the overwhelming amount of information available. Data formats vary widely, making consolidation and analysis a time-consuming and error-prone process. While this allows for a richer understanding of grant performance, it also creates complexity.

Data 71
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Technology, data and fundraising: is it getting too complicated?

3rd Sector Labs

What about all this new technology that we should have mastered by now? Isn’t all this technology and data helping? Q2: How many different types of technology systems are you using to execute the campaign? All this technology is helping us to capture more data than ever. The back story. 11% – easier.

Data 148
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4 Strategies for Proactive Risk Management at Your Nonprofit

sgEngage

Although nonprofits are often composed of good, trustworthy individuals, there are still times when someone close to an organization steals its money or technology. Conduct an operational analysis in which you identify all potential risks and prioritize them based on which ones are most likely to occur. Compliance.

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Announcing the Third Impact Lab on Climate Justice

Saleforce Nonprofit

Recognizing that the effects of climate change aren’t equal, this lab aims to co-design a technology solution to support low-income communities of color that are most impacted by the climate crisis. Impact Labs convenes community experts across sectors to co-create new technology solutions to support specific issue areas.

Impact 116
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Big Data Means More Than Big Profits

Beneblog: Technology Meets Society

The more we use technology in our education and health systems, the more data we collect about how people learn and what keeps us healthy or makes us sick. I knew we could help a lot of people if we focused on finding a sustainable—instead of a highly profitable—way to develop technology for the social good.

Profit 171
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10 Donor Data Migration Decisions: Q&A with Gary Carr

3rd Sector Labs

2 – How many different types of technology systems are you using to execute a fundraising campaign? For question 2, we had the highest percentage of people relying on just 1 or 2 technologies than we have ever experienced in the poll, 61% vs. 45% aggregated. QUESTION: Can you provide examples of data standards policies?

Data 138