Big Data

This tag is associated with 8 posts

Trust, Privacy, Big Data, and e-Book Readers

At the opening of the Frankfurt Book Fair this year, a pre-meeting session was held called CONTEC. This follow-up to the much beloved, but now defunct, O’Reilly Tools of Change conference brought together an interesting mix of leadership from traditional publishers, new start-ups, more traditional supply chain management, and a mix of speakers from outside … Continue reading

More Data, More Problems — Lessons from the Limitations of Google Flu Trends

“Big data” continues to draw attention, but will it ever amount to more than a hypothesis-generating engine and supplementary findings? Continue reading

Data Detectives: Investigating What is, and What is Not, Measured

Businesses are using more data than ever to inform decision making. While the truly large Big Data may be limited to the likes of Google, Amazon, and Facebook, publishers are nonetheless managing more data than ever before. While the technical challenges may be less daunting with smaller data sets, there remain challenges in interpreting data and in using it to make informed decisions. Perhaps the most daunting challenge is in understanding the limitations of the dataset: What is being measured and, just as importantly, what is not being measured? What inferences and conclusions can be drawn and what is mere conjecture? Where are the bricks and mortar solid and where does the foundation give way beneath our feet? Continue reading

Stay Close to Your Customers

Lessons learned from Mike Walsh’s keynote speech at the Special Libraries Association Meeting. Continue reading

Tesla, Journalism, and the Limits of Data — A Lesson in Context and Interpretation

An electric car’s data versus a journalist’s experiences — and neither proves sufficient for the task of telling us exactly what happened. Continue reading

Math and Discipline — Why Nate Silver’s Accuracy Isn’t About “Big Data”

“Big data” isn’t what the Nate Silver story highlights. It highlights data curation, management, analysis, publication, iteration, and integrity, none of which “big data” guarantees. Continue reading

Book Review: Nate Silver’s “The Signal and the Noise: Why So Many Predictions Fail — But Some Don’t”

Nate Silver’s new book tackles many topics — Big Data, the problem with scientific statistics, chess, baseball, gambling — with style and substance. There’s a lot of signal here. Continue reading

Does All Science Need to be Preserved? Do We Need to Save Every Last Data Point?

The era of Big Data raises many questions about why and how data should or can be preserved, who should lead the effort, and what the cost-benefit equation currently is. Continue reading

Side Dishes by Stewart Wills

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