Business Analytics for Managers :... | Buy

Summary

World-class guidance for delivering the right decision support to the right people at the right timeA vital blueprint for organizations that want to thrive in the competitive fray, Business Analytics for Managers presents a sustainable business analytics (BA) model focusing on the interaction of IT technology, strategy, business processes, and a broad spectrum of human competencies and organizational circumstances. Proven guidance on developing an information strategy Tips for supporting your company's ability to innovate in the future by using analytics An understanding of BA as a holistic information discipline with links to your business's strategy Practical insights for planning and implementing BA How to use information as a strategic asset Why BA is the next stepping-stone for companies in the information age today Discussion on BA's ever-increasing roleFilled with examples and forward-thinking guidance from renowned BA leaders Gert Laursen and Jesper Thorlund, Business Analytics for Managers offers powerful techniques for making increasingly advanced use of information in order to survive any market conditions.

Foreword
Introduction
What Does BA Mean? Information Systems-Not Technical Solutions
Purpose and Audience
Organization of Chapters
Why the Term "Business Analytics"?
The Business Analytics Model
Overview of the Business Analytics Model
Deployment of the BA model
Conclusions
Business Analytics at Strategic Level
Link Between Strategy And The Deployment Of Ba Strategy And Ba: Four Scenarios
Which Information Do We prioritize?
Summary
Development and Deployment of Information at the Functional Level
BA Case Study: A Trip To The Summerhouse
Establishing Business Processes With The Rockart Model
Example: Establishing New Business Processes With The Rockart Model
Optimizing Existing Business Processes
Example: Deploying Performance Management To Optimize Existing Processes
Which Process Should We Start With?
A Catalogue Of Ideas With Kpis For The Company's Different. Functions
Summary
Business Analytics at the Analytical Level
Data, Information, And Knowledge
Analyst's Role In The Ba Model
Three Requirements The Analyst Must Meet
Required Competencies For The Analyst
Hypothesis-Driven Methods
Data Mining With Target Variables
Explorative Methods
Business Requirements
Summary
Business Analytics at the Data Warehouse Level
Why A Data Warehouse?
Architecture And Processes In A Data Warehouse
Tips And Techniques In Data Warehousing
Summary
The Company's Collection of Source Data
What Are Source Systems, And What Can They Be Used For?
Which Information Is Best To Use For Which Task?
When There Is More Than One Way To Get The Job Done
When The Quality Of Source Data Fails
Summary
Structuring of a Business Intelligence Competency Center
What Is A Business Intelligence Competency Center?
Why Set Up A Business Intelligence Competency Center?
Tasks And Competencies
Centralized Or Decentralized Organization
When Should A Bicc Be Established?
Summary
Assessment and Prioritization of BA Projects
Is It A Strategic Project Or Not?
Uncovering The Value Creation Of The Project
When Projects Run Over Several Years
When The Uncertainty Is Too Big
Projects As Part Of The Bigger Picture
Summary
Business Analytics in the Future
Index
Table of Contents provided by Publisher. All Rights Reserved.

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