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Good Governance Makes Data the Asset It Should Be

.orgSource

Or is your data dilemma more like a recurring headache? Data shouldn’t be a challenge. Two-point-five quintillion bytes of data are generated online daily, according to SaaS Scout Research Group. Data is the meta product of every sale. It’s an asset that should work for you. With each transaction, […].

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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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Cybersecurity group sues DOGE over data access

Mashable Tech

governance has hit another legal obstacle. The Electronic Privacy Information Center (or EPIC) filed a lawsuit against the Department of Government Efficiency (or, sigh, DOGE) on Monday, per the privacy-focused non-profit's website. The lawsuit calls Musk's actions "the largest data breach in American history." government.

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A Lightweight (and Fun!) Approach to Data Governance

Association Analytics

Approach to Data Governance appeared first on Association Analytics. The post A Lightweight (and Fun!)

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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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Ditch Data Discomfort

Association Analytics

The post Ditch Data Discomfort appeared first on Association Analytics.

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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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