Business Analytics for Managers 2nd editiuon by Gert Laursen, Jesper Thorlund – Ebook PDF Instant Download/Delivery: 111929858X, 978-1119298588
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Product details:
ISBN 10: 111929858X
ISBN 13: 978-1119298588
Author: Gert Laursen, Jesper Thorlund
The intensified used of data based on analytical models to control digitalized operational business processes in an intelligent way is a game changer that continuously disrupts more and more markets. This book exemplifies this development and shows the latest tools and advances in this field
Business Analytics for Managers offers real-world guidance for organizations looking to leverage their data into a competitive advantage. This new second edition covers the advances that have revolutionized the field since the first edition’s release; big data and real-time digitalized decision making have become major components of any analytics strategy, and new technologies are allowing businesses to gain even more insight from the ever-increasing influx of data. New terms, theories, and technologies are explained and discussed in terms of practical benefit, and the emphasis on forward thinking over historical data describes how analytics can drive better business planning. Coverage includes data warehousing, big data, social media, security, cloud technologies, and future trends, with expert insight on the practical aspects of the current state of the field.
Analytics helps businesses move forward. Extensive use of statistical and quantitative analysis alongside explanatory and predictive modeling facilitates fact-based decision making, and evolving technologies continue to streamline every step of the process. This book provides an essential update, and describes how today’s tools make business analytics more valuable than ever.
- Learn how Hadoop can upgrade your data processing and storage
- Discover the many uses for social media data in analysis and communication
- Get up to speed on the latest in cloud technologies, data security, and more
- Prepare for emerging technologies and the future of business analytics
Most businesses are caught in a massive, non-stop stream of data. It can become one of your most valuable assets, or a never-ending flood of missed opportunity. Technology moves fast, and keeping up with the cutting edge is crucial for wringing even more value from your data―Business Analytics for Managers brings you up to date, and shows you what analytics can do for you now.
Business Analytics for Managers 2nd Table of contents:
Introduction
What Is the Scope of Business Analytics? Information Systems— Not Technical Solutions
Purpose and Audience
Organization of Chapters
Why the Term Business Analytics?
Chapter 1: The Business Analytics Model
Overview of the Business Analytics Model
Deployment of the Business Analytics Model
Summary
Chapter 2: Business Analytics at the Strategic Level
Link between Strategy and the Deployment of Business Analytics
Strategy and Business Analytics: Four Scenarios
Which Information Do We Prioritize?
Summary
Chapter 3: Development and Deployment of Information at the Functional Level
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 Key Performance Indicators for the Company’s Different Functions
Summary
Chapter 4: Business Analytics at the Analytical Level
Data, Information, and Knowledge
Analyst’s Role in the Business Analytics 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
Chapter 5: 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
Chapter 6: 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
Chapter 7: Structuring of a Business Analytics Competency Center
What Is a Business Analytics Competency Center?
Why Set Up a Business Analytics Competency Center?
Tasks and Competencies
Centralized or Decentralized Organization
When Should a Business Analytics Competency Center Be Established?
Applying the Analytical Factory Approach
Summary
Chapter 8: Assessment and Prioritization of Business Analytics Projects
Is It a Strategic Project or Not?
When Projects Run Over Several Years
When the Uncertainty Is Too Big
Projects as Part of the Bigger Picture
Summary
Chapter 9: Business Analytics in the Future
About the Authors
Index
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