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6 Tips to Transform Your Dirty Data in 2024

Association Analytics

We likely don’t need to convince you that in today’s digital age, data is the lifeblood of any successful association. And you’re likely to agree that ensuring the cleanliness and accuracy of that data is key. But what happens if your data isn’t clean? Data should be directional Your data may be disorganized.

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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. What business questions do you want answered? Similarly, analyzing your event data from many angles can lead to a major impact on revenue.

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Are Associations Losing Their Members’ Trust?—The Leadership ColLAB Explores This Critical Question

.orgSource

The Leadership ColLAB conference was an opportunity to bring professionals together around what we believe is a critical question. You need to constantly evaluate the data and analyze progress. ENA brings objectivity to the process by using the net promoter score as a tool to measure success.

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Investigating and Improving the Questions You Ask Grantees

sgEngage

Over the years, we noticed that excellence in the sector was evolving, but our questions felt like they were behind the curve. The winning organizations were consistently exhibiting interesting characteristics, but we weren’t asking questions targeted at those characteristics. We needed to change up our questions. Take it out.

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Data-Enhanced Learning Management & Certification for Associations

Nucleus

To grow your education business, you need to take advantage of the sophisticated metrics now available through modern data analytics – trends, behaviors, preferences, popularity, geography and much more. If your association is like most today, you use a variety of software systems and there is useful member data contained in each of them.

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How to Make and Measure More Impact with Data

Tech Soup

The answers to these questions probably exist within your organization's data, but the challenge is knowing how to make sense of it. With all of the time and resources that nonprofits pour into creating their programs, it's important to know whether these efforts are creating the change you need.

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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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