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Good Data Governance Equals Great Member Experiences

.orgSource

Data is the foundation for every technological initiative. Good data governance is essential for successful digital outcomes. Data that accurately reflects your members and their preferences is the key to trust, engagement, and enduring relationships. Much of the data in your systems is not yours.

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Streamlining demographic data collection

Candid

Demographic data is critical to helping our sector better understand and meet the needs of diverse communities. At Candid, we’re working to streamline the process of collecting and sharing demographic data, fostering transparency and accountability in the nonprofit sector, and reducing the burden on nonprofits.

professionals

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Measuring Training Effectiveness with LMS Analytics

Gyrus

Measuring Training Effectiveness with LMS Analytics Gyrus Systems Gyrus Systems - Best Online Learning Management Systems Introduction Companies use Learning Analytics Tools to collect, analyze, and measure the effectiveness of their learning and development programs. Do they find it useful?

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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However, relying on legacy data and outdated tools can hamper your fundraising efforts and keep you from meeting your fundraising needs.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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[Free Webinar] The Top 5 Benefits of Adopting a CRM System at Your Nonprofit

Nonprofit Tech for Good

The effective accounting, donor management, and data analysis of donor activity has become essential as nonprofits have embraced online fundraising, virtual events, and fundraising on social media in recent years. Implementing a CRM system can: Establish one system of record for all data.

Adopt 189
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How to Effectively Compare Data from Two Different Salesforce Systems

fusionSpan

Comparing data between systems is necessary for businesses that are looking to migrate, adjust or back up data. The issue, however, is that data comparisons are tedious, repetitive, and time-consuming. The good news is that there are code packages specifically designed to handle data comparison.

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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.

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