David Ells

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David Ells has played key roles in the development of SCORM Cloud, the xAPI spec, and more. As our CEO, he leads our team and loves turning ideas into reality.
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Recent Posts

Watershed's Direction: 2019 and Beyond

By David Ells | Aug 28, 2019

During our recent 2019 Watershed Insights Summit, we experienced an incredible opportunity to provide a platform for our clients to exchange ideas, both with us and with each other. As part of that opportunity, we achieved even more visibility into our clients’ worlds while also refining the vision that we share with them and the learning industry at large.

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Data Fundamentals: The Shape of Data (Part 1)

By David Ells | Aug 15, 2018

We navigate our world through mental “maps,” which give us a way to think about concepts and the relationships among them. The better our mental maps, the better we are able to understand cause-and-effect relationships, predict outcomes, and apply our knowledge to reality. With that in mind, this three-part Dev Delve series is about one such mental map that can guide how we think about accessing data and unlocking its value. Specifically, we’ll look at two key factors in data: shape and interface. And, once we define these concepts, we can think about the relationship between them.

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Dev Delve: Driving Innovation through Data Transformation

By David Ells | Jan 18, 2018

In this Dev Delve, we’ll explore a topic easily overlooked when viewing data science as a whole: What are the best practices for managing and transforming data to create the results that provide insights or predictions?

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Dev Delve: Data Silos & Integration

By David Ells | Nov 13, 2017

Whether it's tracking the performance of a Roth IRA or gathering demographics for product testing, data plays an important role in our personal and professional lives every day. And while data can provide helpful insights and ease everyday tasks, leveraging it for deeper insights can pose real challenges. In this Dev Delve, we’ll focus on two common issues when it comes to working with data—the prevalence of “data silos” and the work involved in solving the “data integration problem.” We’ll unpack these terms and uncover the underlying details that contribute to each of these challenges.

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