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Three Data-Informed Strategies for Better Member Engagement

Association Analytics

You’ll come away with specific examples from the team at the International Association of Exhibitions and Events (IAEE) that you can use to inform your own strategy. Once the team aggregated the data and they were able to form a hypothesis, test it and confirm a need.

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Study the Data, But Eat the Cake—Put the Human Factor Forward

.orgSource

You’ll recognize these examples. Confirmation bias is the tendency to place the greatest value on information that supports your pre-existing beliefs. Anchoring bias makes people rely too heavily on the first bit of information they receive. AI provides a satellite image of an entire data landscape.

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Let Data Drive Your Decisions

Bloomerang

Fortunately, data can help you make good decisions during uncertain times. Why data should drive your decisions Many key industries, including retailers, manufacturers, and healthcare organizations, use data to inform decisions. To be successful despite uncertainty, you must let data drive your decisions.

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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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Elevating your major gifts and planned giving with data-driven decision-making

EveryAction

However, relying on legacy data and outdated tools can hamper your fundraising efforts and keep you from meeting your fundraising needs. Here’s how—and why—nonprofits should move from legacy systems to data-driven decision-making. Legacy-modeled data often fails to take details like these into account.

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Use Data for New Revenue Opportunities

Association Analytics

The good news is – you already have a treasure trove of information you can use to explore new revenue streams – your data! We are going to share three ways to generate new revenue using your data. Use your data to optimize people and products. For example, are they opening newsletters, attending meetings, volunteering?

Data 169
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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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