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10 Must-Have Skills for Nonprofit New Media Managers

Nonprofit Tech for Good

Photo and Video Editing Ability. To effectively work with image and video content, your new media manager must be adept at using photo and video editing software. The foundation of effective photo and video editing is a creative eye and an appreciation of digital photography and video. HTML Knowledge. Community Building.

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8 Tips for GivingTuesday Social Media Posts

CauseVox

You can use tools like surveys, interviews, or data analytics to understand this (more on that below). As you can see with the Raising Hope Dogs Giving Campaign, sharing photos and personal stories are key to engaging donors and mobilizing them into action. or “What would you want the world to know?”

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A Gentle Introduction to Analytical Stream Processing

Towards Data Science

From Enormous Data back to Big Data Say you are tasked with building an analytics application that must process around 1 billion events (1,000,000,000) a day. Photo via Unspash and @ryansearle Imagine you just found a parking spot all thanks to some helpful signs that pointed you to an open space.

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Ticketmaster will pay $10 million for hacking rival ticket seller

The Verge

Photo by Noam Galai/Getty Images. The company and its parent Live Nation admitted to hiring a former employee from rival ticket seller CrowdSurge, then using his knowledge — including old usernames and passwords — to learn CrowdSurge’s inner workings and “cut [the company] off at the knees.”.

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Zoetica Salon Insights: Social Media Measurement for Nonprofits

Beth's Blog: How Nonprofits Can Use Social Media

Flickr Photo by Jek in the Box. The Zoetica Salon is a free online space for peer knowledge sharing, but we hope to distinguish it from the informal knowledge sharing that happens daily on the web or behind pay walls. We launched the Zoetica Salon this week. One thing we’re trying to do is model abundant behavior.

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A Data Mesh Implementation: Expediting Value Extraction from ERP/CRM Systems

Towards Data Science

Operational data management in Data Mesh A Data Mesh implementation improved my experience in these aspects: Knowledge : I could quickly identify the owners of the exposed data. The distance between the owner and the domain that generated the data is key to expedite further analytical development.

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Which Team Should Own Data Quality?

Towards Data Science

This post will focus on the most common team ownership models including: data engineering, data reliability engineering, analytics engineering, data quality analysts, and data governance teams. Analytics engineering Used with permission: source. Why is data quality ownership important? There are downsides to this approach however.

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