Posts by Michael Nadeau:

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Why Soft Skills Matter in Data Science

by   |   January 13, 2014   |   9 Comments

In this excerpt from his book “Data Smart,” John W. Foreman, chief data scientist at, discusses what it means to practice data science in the business world. Read More…

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Assess and Manage Data Risks with Total Information Risk Management

The article below is excerpted from Total Information Risk Management: Maximizing the Value of Data and Information Assets (Morgan Kaufman, 2013) with permission from the publisher. Data and information are such important assets for organizations that it is vital to Read More…

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Sideband Networks Brings Predictive Analytics to Network Administration

by   |   November 15, 2013   |   Leave a comment

Enterprise networks are becoming more complex and are carrying more data than ever, putting more stress on network administrators and the tools they use to monitor network performance. A stoppage or slow-down could have serious material effect on a business, Read More…

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Analytics as a Driver of Innovation, Growth and New Business Models

by   |   November 4, 2013   |   Leave a comment

At the recent SAS Analytics 2013 conference in Orlando, Link Analytics CEO William Hakes spoke about how many next-generation companies will be built on what he calls “analytical DNA.” These are companies that don’t just do analytics. They are analytics, Read More…

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A Long, Long Time from Now, in a Data Storage Medium Far From Here

by   |   October 21, 2013   |   Leave a comment

While the data that organizations need to manage is getting bigger and more complex, its ephemeral nature has not changed. Data’s usefulness wanes, and eventually it is discarded or is archived on media that decays over time, or its storage Read More…

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To Win Consumer Trust, You Need Transparent Data Collection Policies

by   |   September 20, 2013   |   Leave a comment

What really scares people when they hear stories about data collected by the NSA, or even Google or Facebook, is the sense that they are not getting all the facts. Every organization should tell consumers details about their data collection programs to win consumer trust, argues Michael Nadeau, Data Informed’s publisher. Read More…

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Precision Agriculture: Deere Gets Farm Data from the Tractor to the Web

by   |   September 17, 2013   |   Leave a comment

For the farmer, the tractor has become a data center. Motorized farm equipment now has the technology to acquire and analyze data to minimize the amount of seed or fertilizer needed, reduce fuel costs, and identify best practices for fields Read More…

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The Most Common Purpose of Big Data Is to Produce Small Data

by   |   September 10, 2013   |   Leave a comment

The article below is excerpted from the book, Principles of Big Data, Preparing, Sharing, and Analyzing Complex Information (Morgan Kaufmann, 2013) with permission from the publisher.  The book covers methods that permit data to be shared and integrated among different big Read More…

Several Raw Talent statistics from the call center sample. Each has a tight, statistically significant range of values.

How Talent Benchmarking Slashed Call Center Attrition

by   |   September 6, 2013   |   Leave a comment

A call center for a global financial firm had a problem – attrition. In order for a new employee to even be permitted to speak with a single customer, the new representative had to go through 12 weeks of expensive Read More…

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Cloud-Based Data Integration Adds Concerns about Latency and Security

by   |   August 23, 2013   |   Leave a comment

The article below is excerpted from the book, Managing Data in Motion: Data Integration Best Practice Techniques and Technologies (Morgan Kaufmann, 2013) with permission from the publisher.  The book covers moving, transforming, and integrating disparate data in a complex enterprise Read More…