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TDWI Upside - Where Data Means Business

Contributor: Steve Swoyer

Stephen Swoyer is a technology writer with more than 16 years of experience. His writing has focused on business intelligence, data warehousing, and analytics for almost a decade. He’s particularly intrigued by the thorny people and process problems most BI and DW vendors almost never want to acknowledge, let alone talk about.


All articles by Steve Swoyer

AlphaGo, Artificial Intelligence, and a Machine-Learning Renaissance

A recent AlphaGo victory is being touted as a Big Win for artificial intelligence (AI). It's a no less important win for machine learning, which might be in the midst of a renaissance.

DevOps and BI: Software Development in Transition

Software development is in the midst of a transitional period, thanks to the emergence of use-oriented models like DevOps, which are revolutionizing application development, delivery, maintenance, and enhancement.

Data Storytelling and Persuasion

A new survey tackles a topic that's captivated thinkers from Aristotle to Jane Austen to Dale Carnegie: persuasion. Persuasion is a device -- a skill -- used in all human interactions. In many cases, it's the reason for human interaction: we communicate, we collaborate, we tell stories in order to persuade.

Celebrating Self-Service

In the New Information Economy, self-service use provides an empirical basis for demand. If people repeatedly use self-service tools to construct certain kinds of data flows, to perform certain kinds of analyses, or to access and integrate data from as-yet-unmanaged internal or external data sources, that's a critical signal to IT. These are use cases that must and should be identified, standardized, and productized as reusable information assets.

Data Warehousing: Ingenuity, Labor, and Obsolete Practices

Proponents of data warehouse automation say the way we design, build, and manage data warehouse systems is obsolete. They say ingenuity, not labor, is the most important contribution human beings can make to the design, development, and optimization of the warehouse.

Putting Big Data to Work for Railroad Safety

Canadian National Railway puts big data to work keeping its system safe.

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