Business Analytics for Managers : Taking Business Intelligence Beyond Reporting.

Gert H. N. Laursen
Bok · Engelsk · 2016 · Electronic books.

Omfang	1 online resource (291 pages)
Utgave	2nd ed.
Opplysninger	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.. - 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.. - 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.
Emner	Business intelligence.
Sjanger	Electronic books.
Dewey	658.4033
ISBN	9781119302537
ISBN(galt)	9781119298588