Business analytics for managers taking business intelligence beyond reporting
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 Busines...
| Otros Autores: | , |
|---|---|
| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Hoboken, New Jersey :
Wiley
2017.
|
| Edición: | Second edition |
| Colección: | Wiley and SAS business series.
THEi Wiley ebooks. |
| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009631484406719 |
Tabla de Contenidos:
- 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
- Summary
- 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
- 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
- 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
- Summary
- 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
- 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
- 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
- Summary
- 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
- Summary
- Chapter 9 Business Analytics in the Future
- About the Authors
- Index
- EULA.
