Business analytics for managers : taking business intelligence beyond reporting / Gert H. N. Laursen, Jesper Thorlund.

Format:

Book

Author/Creator:

Laursen, Gert H. N., author.

Thorlund, Jesper, author.

Series:

Wiley and SAS business series.

THEi Wiley ebooks.

Wiley and SAS Business Series

THEi Wiley ebooks

Language:

English

Subjects (All):

Business intelligence.

Physical Description:

1 online resource (1 volume) : illustrations.

Edition:

Second edition.

Place of Publication:

Hoboken, New Jersey : Wiley, 2017.

System Details:

Access using campus network via VPN at home (THEi Users Only).

text file

Summary:

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.

Contents:

Cover

Title Page

Copyright

Contents

Foreword

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

Strategy Creation

Business Processes and Information Use

Types of Reporting and Analytical Processes

Data Warehouse

Data Sources: IT Operations and Development

Deployment of the Business Analytics Model

Case Study: How to Make an Information Strategy for a Radio Station

Summary

Chapter 2 Business Analytics at the Strategic Level

Link between Strategy and the Deployment of Business Analytics

Strategy and Business Analytics: Four Scenarios

Scenario 1: No Formal Link between Strategy and Business Analytics

Scenario 2: Business Analytics Supports Strategy at a Functional Level

Scenario 3: Dialogue between the Strategy and the Business Analytics Functions

Scenario 4: Information as a Strategic Resource

Which Information Do We Prioritize?

The Product and Innovation Perspective

Customer Relations Perspective

The Operational Excellence Perspective

Chapter 3 Development and Deployment of Information at the Functional Level

Case Study: A Trip to the Summerhouse

Specification of Requirements

Technical Support

Off We Go to the Summerhouse

Lead and Lag Information

More about Lead and Lag Information

Establishing Business Processes with the Rockart Model

Example: Establishing New Business Processes with the Rockart Model

Level 1: Identifying the Objectives

Level 2: Identifying an Operational Strategy

Level 3: Identifying the Critical Success Factors

Level 4: Identifying Lead and Lag Information.

Optimizing Existing Business Processes

Example: Deploying Performance Management to Optimize Existing Processes

Concept of Performance Management

Which Process Should We Start With?

Customer Relationship Management Activities

Campaign Management

Product Development

Web Log Analyses

Pricing

Human Resource Development

Corporate Performance Management

Finance

Inventory Management

Supply Chain Management

Lean

A Catalogue of Ideas with Key Performance Indicators for the Company's Different Functions

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

Business Competencies

Tool Kit Must Be in Order (Method Competencies)

Technical Understanding (Data Competencies)

Required Competencies for the Analyst

Analytical Methods (Information Domains)

How to Select the Analytical Method

The Three Imperatives

Descriptive Statistical Methods, Lists, and Reports

Hypothesis-Driven Methods

Tests with Several Input Variables

Data Mining with Target Variables

Data Mining Algorithms

Explorative Methods

Data Reduction

Cluster Analysis

Cross-Sell Models

Up-Sell Models

Business Requirements

Definition of the Overall Problem

Definition of Delivery

Definition of Content

Chapter 5 Business Analytics at the Data Warehouse Level

Why a Data Warehouse?

Architecture and Processes in a Data Warehouse

Selection of Certain Columns To Be Loaded

Staging Area and Operational Data Stores

Causes and Effects of Poor Data Quality

The Data Warehouse: Functions, Components, and Examples

Alternative Ways of Storing Data

Business Analytics Portal: Functions and Examples

Tips and Techniques in Data Warehousing.

Master Data Management

Service-Oriented Architecture

How Should Data Be Accessed?

Access to Business Analytics Portals

Access to Data Mart Areas

Access to Data Warehouse Areas

Access to Source Systems

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

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

Establishing an Information Wheel

Creating Synergies between Information Wheels

Educating Users

Prioritizing New Business Analytics Initiatives

Competencies

Centralized or Decentralized Organization

Strategy and Performance

When the Analysts Report to the IT Department

When Should a Business Analytics Competency Center Be Established?

Applying the Analytical Factory Approach

Chapter 8 Assessment and Prioritization of Business Analytics 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

The Descriptive Part of the Cost/Benefit Analysis for the Business Case

The Cost/Benefit Analysis Used for the Business Case

Projects as Part of the Bigger Picture

Case Study on How to Make an Information Strategy Roadmap

Chapter 9 Business Analytics in the Future

About the Authors

Index

EULA.

Notes:

Includes index.

Description based on print version record.

ISBN:

1-119-30253-6

1-119-30249-8

OCLC:

968749382