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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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Integration: The Ultimate Solution for Nonprofit Data Silos

sgEngage

Many nonprofits struggle to maximize their data usage. In fact, when surveyed, 97% of nonprofit professionals expressed an interest in learning how to use their data more effectively, and only 5% reported using data in every decision they make. So, how do healthcare organizations overcome these data silos?

professionals

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Why You Should Leverage AI For Nonprofit Data Management

Bloomerang

In the realm of nonprofit organizations, effective data management is essential for optimizing resources, enhancing donor relations, and achieving mission-driven goals. However, many nonprofits grapple with the challenges of managing data efficiently due to limited resources, disparate data sources, and manual processes.

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Four Steps to Align Data with Your Mission and Goals

Association Analytics

Data provides actionable insights and can give associations a navigable path to make better informed business decisions. And yet, the ability to use data to serve your association’s mission has never been more important and timely. Developing a SMART goal is seldom complex from a data standpoint. Develop KPIs for Your Goals.

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Export Your Universal Analytics Data Before It’s Too Late

Forum One

Just as you’ve finally settled into the shift from Universal Analytics (UA) to Google Analytics 4 (GA4) and started to get a handle on its new metrics, Google has yet another deadline for organizations to meet. On July 1, 2024, Google will permanently remove access to all Universal Analytics data.

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Don’t Fear Your Dirty Data

Association Analytics

The concept of “dirty data” and how to approach it can be daunting. Simply put, dirty data is data that is inaccurate, incomplete, inconsistent, duplicative, or outdated. At Association Analytics, we sometimes hear concerns about data quality in the context of associations starting their journey into analytics.

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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. What’s causing this disconnect?

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