Business Analytics: A Practitioner’s Guide 2013th Edition

Business Analytics: A Practitioner’s Guide 2013th Edition book cover

Business Analytics: A Practitioner’s Guide 2013th Edition

Author(s): Rahul Saxena (Author), Anand Srinivasan (Author)

  • Publisher: Springer
  • Publication Date: January 28, 2015
  • Edition: 2013th
  • Language: English
  • Print length: 176 pages
  • ISBN-10: 1489986723
  • ISBN-13: 9781489986726

Book Description

This book provides a guide to businesses on how to use analytics to help drive from ideas to execution. Analytics used in this way provides “full lifecycle support” for business and helps during all stages of management decision-making and execution.

The framework presented in the book enables the effective interplay of business, analytics, and information technology (business intelligence) both to leverage analytics for competitive advantage and to embed the use of business analytics into the business culture. It lays out an approach for analytics, describes the processes used, and provides guidance on how to scale analytics and how to develop analytics teams. It provides tools to improve analytics in a broad range of business situations, regardless of the level of maturity and the degree of executive sponsorship provided.

As a guide for practitioners and managers, the book will benefit people who work in analytics teams, the managers and leaders who manage, use and sponsor analytics, and those who work with and support business analytics teams.

Editorial Reviews

Review

From the book reviews:

“In Business Analytics: A Practitioner’s Guide, Rahul Saxena and Anand Srinivasan show an intimate understanding of this challenge. They provide background material on decision making in organizations, outline challenges that these organization face, and then point out methods for overcoming the challenges. … With so many organizations trying to build analytical capabilities, this book is an excellent resource for those early in their journey. It will help them understand more clearly what is ahead and the pitfalls to avoid.” (Jack Levis, Interfaces, Vol. 44 (6), November-December, 2014)

From the Back Cover

Business analytics is used to help people to make and execute rational decisions. This book provides a guide to businesses on how to use analytics to help drive from ideas to execution. Analytics used in this way provides full lifecycle support for business during all stages of decision-making and execution.

The domain of business analytics is becoming recognized and established as a distinct profession. Many companies have created specialized business analytics teams, and several educational institutions offer courses and degrees in analytics. The people in these groups draw upon Operations Research, Statistics, and the Information Technology practices for Business Intelligence, Analytics & Optimization. Practitioners, academics, and consultants are working craft the concepts, processes, and structures needed to establish business analytics capabilities in their specific organizations. This book offers a set of proven concepts, processes, and structures that can help organizations to set up and evolve their analytics capabilities.

The word “analytics” conjures up different images for different people depending on the function that they work in. Business and academic organizations share an enthusiastic appreciation of the realm of business analytics, but they do not necessarily have a common understanding of all that it comprises. This divergence presents organizational challenges in terms of organizational design, roles, skills development planning, educational needs, and career paths in analytics organizations. Effective application of analytics involves a confluence of traditional business, mathematical modeling and information technology capabilities. This book provides a framework for the effective interplay of these capabilities to go from ideas to execution.

The framework forbusiness analytics is also used to embed the use of business analytics into the business culture. It lays out the approach for analytics and provides guidance on how to scale analytics and how to develop analytics teams. It offers a set of proven concepts, processes, and structures that show how organizations can set up and evolve their analytics capabilities in order to achieve benefits in their strategy and operations.

As a guide for practitioners and managers, the book will benefit people who work in analytics teams, the managers and leaders who manage, use and sponsor analytics, and those who work with and support business analytics teams. It includes several real world case studies on applying the concepts of business analytics to decision making to help the practitioner understand the framework and extend it to their specific need.

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未经允许不得转载:Wow! eBook » Business Analytics: A Practitioner’s Guide 2013th Edition

Business Analytics: A Practitioner’s Guide 2013th Edition

Business Analytics: A Practitioner’s Guide 2013th Edition book cover

Business Analytics: A Practitioner’s Guide 2013th Edition

Author(s): Rahul Saxena (Author), Anand Srinivasan (Author)

  • Publisher: Springer
  • Publication Date: December 5, 2012
  • Edition: 2013th
  • Language: English
  • Print length: 176 pages
  • ISBN-10: 1461460794
  • ISBN-13: 9781461460794

Book Description

This book provides a guide to businesses on how to use analytics to help drive from ideas to execution. Analytics used in this way provides “full lifecycle support” for business and helps during all stages of management decision-making and execution.

The framework presented in the book enables the effective interplay of business, analytics, and information technology (business intelligence) both to leverage analytics for competitive advantage and to embed the use of business analytics into the business culture. It lays out an approach for analytics, describes the processes used, and provides guidance on how to scale analytics and how to develop analytics teams. It provides tools to improve analytics in a broad range of business situations, regardless of the level of maturity and the degree of executive sponsorship provided.
The concepts include:

  1. Framework
    1. Three levels of analytics. Many analytics teams are at #2, where they are called on to provide analytics, acting as providers of data or advice. At #3, analytics is used to drive value from making effective decisions.
    2. Six components of analytics, three that fall into the traditional buckets of analytics, business, and IT (Decision Modeling, BI, and Decision Making), and three that get misplaced and trip up the practice of analytics: Data Stewardship, Decision Execution, and Decision Framing.

  2. Decisions occur in four layers: strategic, planning, scheduling, and workflow. Analytics models enable and interconnect these layers. These analytics layers can map to the systems in the Viable System Model proposed by Stafford Beer.
  3. Decision framing for the decision layers
  4. Decision modeling for the decision layers, including optimization, statistics, machine learning, surveying, experiments, etc. Defines what an analytics deliverable should contain.
  5. Decision making and managing biases
  6. Decision execution as a closed loop. How to apply what we’ve learned about motivation, incentive systems, and management by objectives.
  7. The evolution of BI (business intelligence) tools into closed-loop analytics systems that can place analytics tools in the context of business apps.
  8. Data management including assessment, scrubbing, enrichment, tagging, hierarchies, and categories.
  9. Making organizations smarter by driving a culture of analytics
  10. Building an analytics capability, such as an Analytics CoE (Center of Excellence)
  11. Analytics methods, that can serve as project templates
  12. As a guide for practitioners and managers, the book will benefit people who work in analytics teams, the managers and leaders who manage, use and sponsor analytics, and those who work with and support business analytics teams.

Editorial Reviews

Review

From the book reviews:

“In Business Analytics: A Practitioner’s Guide, Rahul Saxena and Anand Srinivasan show an intimate understanding of this challenge. They provide background material on decision making in organizations, outline challenges that these organization face, and then point out methods for overcoming the challenges. … With so many organizations trying to build analytical capabilities, this book is an excellent resource for those early in their journey. It will help them understand more clearly what is ahead and the pitfalls to avoid.” (Jack Levis, Interfaces, Vol. 44 (6), November-December, 2014)

From the Back Cover

Business analytics is used to help people to make and execute rational decisions. This book provides a guide to businesses on how to use analytics to help drive from ideas to execution. Analytics used in this way provides full lifecycle support for business during all stages of decision-making and execution.

The domain of business analytics is becoming recognized and established as a distinct profession. Many companies have created specialized business analytics teams, and several educational institutions offer courses and degrees in analytics. The people in these groups draw upon Operations Research, Statistics, and the Information Technology practices for Business Intelligence, Analytics & Optimization. Practitioners, academics, and consultants are working craft the concepts, processes, and structures needed to establish business analytics capabilities in their specific organizations. This book offers a set of proven concepts, processes, and structures that can help organizations to set up and evolve their analytics capabilities.

The word “analytics” conjures up different images for different people depending on the function that they work in. Business and academic organizations share an enthusiastic appreciation of the realm of business analytics, but they do not necessarily have a common understanding of all that it comprises. This divergence presents organizational challenges in terms of organizational design, roles, skills development planning, educational needs, and career paths in analytics organizations. Effective application of analytics involves a confluence of traditional business, mathematical modeling and information technology capabilities. This book provides a framework for the effective interplay of these capabilities to go from ideas to execution.

The framework for business analytics is also used to embed the use of business analytics into the business culture. It lays out the approach for analytics and provides guidance on how to scale analytics and how to develop analytics teams. It offers a set of proven concepts, processes, and structures that show how organizations can set up and evolve their analytics capabilities in order to achieve benefits in their strategy and operations.

As a guide for practitioners and managers, the book will benefit people who work in analytics teams, the managers and leaders who manage, use and sponsor analytics, and those who work with and support business analytics teams. It includes several real world case studies on applying the concepts of business analytics to decision making to help the practitioner understand the framework and extend it to their specific need.

View on Amazon

电子书代发PDF格式价格30我要求助
未经允许不得转载:Wow! eBook » Business Analytics: A Practitioner’s Guide 2013th Edition