Showing posts with label analytics. Show all posts
Showing posts with label analytics. Show all posts

Sunday, May 15, 2011

Codermetrics: Analytics for Improving Software Teams

Codermetrics: Analytics for Improving Software Teams Review


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Codermetrics: Analytics for Improving Software Teams Feature

How can you help your software team improve? This concise book introduces codermetrics, a clear and objective way to identify, analyze, and discuss the successes and failures of software engineers—not as part of a performance review, but as a way to make the team a more cohesive and productive unit.

Experienced team builder Jonathan Alexander explains how codermetrics helps teams understand exactly what occurred during a project, and enables each coder to focus on specific improvements. Alexander presents a variety of simple and complex codermetrics, and teaches you how to create your own.

  • Learn how codermetrics changes long-held assumptions and improves team dynamics
  • Get recommendations for integrating codermetrics into existing processes
  • Ask the right questions to determine the type of data you need to collect
  • Use metrics to measure individual coder skills and a team’s effectiveness over time
  • Identify the contributions each coder makes to the team
  • Analyze the response to your software and its features—and verify that you're meeting team and organizational goals
  • Build better teams, using codermetrics to make personnel adjustments and additions


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Tuesday, February 1, 2011

Competing on Analytics: The New Science of Winning

Competing on Analytics: The New Science of Winning Review


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Competing on Analytics: The New Science of Winning Feature

You have more information at hand about your business environment than ever before. But are you using it to “out-think” your rivals? If not, you may be missing out on a potent competitive tool.

In Competing on Analytics: The New Science of Winning, Thomas H. Davenport and Jeanne G. Harris argue that the frontier for using data to make decisions has shifted dramatically. Certain high-performing enterprises are now building their competitive strategies around data-driven insights that in turn generate impressive business results. Their secret weapon? Analytics: sophisticated quantitative and statistical analysis and predictive modeling.

Exemplars of analytics are using new tools to identify their most profitable customers and offer them the right price, to accelerate product innovation, to optimize supply chains, and to identify the true drivers of financial performance. A wealth of examples—from organizations as diverse as Amazon, Barclay’s, Capital One, Harrah’s, Procter & Gamble, Wachovia, and the Boston Red Sox—illuminate how to leverage the power of analytics.


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