Delivering Business Analytics:Practical Guidelines for Best Practice(Wiley and SAS Business Series)

提供商业分析:最佳实践实用导论(丛书)

管理经济学

原   价:
553.75
售   价:
443.00
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平台大促 低至8折优惠
发货周期:预计3-5周发货
作      者
出  版 社
出版时间
2013年02月13日
装      帧
精装
ISBN
9781118370568
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页      码
368
开      本
152.4x228.6mm
语      种
英文
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图书简介
AVOID THE MISTAKES THAT OTHERS MAKE -- LEARN WHAT LEADS TO BEST PRACTICE AND KICKSTART 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 twenty 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, fifteen principles that when followed ensure constant movement towards 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 which define best practice The Data Scientist’s Code, fifteen management principles that when followed help teams move towards best practice Practical solutions and frequent missteps to twenty-four 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 .
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