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Delivering Business Analytics

Practical Guidelines for Best Practice

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Delivering Business Analytics

Di: Evan Stubbs
Letto da: Noah Michael Levine
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Dopo 30 giorni (60 per i membri Prime), 9,99 €/mese. Cancella quando vuoi.

Dopo 30 giorni (60 per i membri Prime), 9,99 €/mese. Cancella quando vuoi.

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Avoid the mistakes that others make - learn what leads to best practice and kick-start success.

This groundbreaking resource provides comprehensive coverage across all aspects of business analytics, presenting proven management guidelines to drive sustainable differentiation. Through a rich set of case studies, author Evan Stubbs reviews solutions and examples to over 20 common problems spanning managing analytics assets and information, leveraging technology, nurturing skills, and defining processes.

Delivering Business Analytics also outlines the Data Scientist's Code, 15 principles that, when followed, ensure constant movement toward effective practice. Practical advice is offered for addressing various analytics issues, the advantages and disadvantages of each issue's solution, and how these solutions can optimally create organizational value.

With an emphasis on real-world examples and pragmatic advice throughout, Delivering Business Analytics provides a reference guide on:

  • The economic principles behind how business analytics leads to competitive differentiation
  • The elements that define best practice
  • The Data Scientist's Code, 15 management principles that, when followed, help teams move toward best practice
  • Practical solutions and frequent missteps to 24 common problems across people and process, systems and assets, and data and decision-making

Drawing on the successes and failures of countless organizations, author Evan Stubbs provides a densely packed practical reference on how to increase the odds of success in designing business analytics systems and managing teams of data scientists.

Uncover what constitutes best practice in business analytics and start achieving it with Delivering Business Analytics.

©2013 SAS Institute Inc (P)2013 Audible Inc.
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