Business Intelligence Guidebook

From Data Integration to Analytics
Erscheinungsjahr 2014
ISBN: 978-0-12-411461-6
Verlag: Elsevier Science & Technology

Buch, Englisch, 550 Seiten, Format (B × H): 186 mm x 231 mm, Gewicht: 1131 g

Between the high-level concepts of business intelligence and the nitty-gritty instructions for using vendors’ tools lies the essential, yet poorly-understood layer of architecture, design and process. Without this knowledge, Big Data is belittled – projects flounder, are late and go over budget. Business Intelligence Guidebook: From Data Integration to Analytics shines a bright light on an often neglected topic, arming you with the knowledge you need to design rock-solid business intelligence and data integration processes. Practicing consultant and adjunct BI professor Rick Sherman takes the guesswork out of creating systems that are cost-effective, reusable and essential for transforming raw data into valuable information for business decision-makers.

After reading this book, you will be able to design the overall architecture for functioning business intelligence systems with the supporting data warehousing and data-integration applications. You will have the information you need to get a project launched, developed, managed and delivered on time and on budget – turning the deluge of data into actionable information that fuels business knowledge. Finally, you’ll give your career a boost by demonstrating an essential knowledge that puts corporate BI projects on a fast-track to success.

Autoren/Hrsg.

Sherman, Rick

Fachgebiete

• Mathematik | Informatik EDV | Informatik Angewandte Informatik Wirtschaftsinformatik
• Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsinformatik, SAP, IT-Management

Inhaltsverzeichnis

Concepts and Context

1 Introduction

Business and Technical Needs

2 Justifying BI (Building Business and Technical Case
3 Defining Requirements - Business, Data and Quality

Architectural Framework

4 Architecture Introduction
5 Information Architecture
6 Data Architecture
7 Technology and Product Architectures

Data Design

8 Foundational Data Modeling
9 Dimensional Modeling
10 Advanced Dimensional Modeling

Data Integration Design

11 Data Integration Processes
12 Data Integration Design & Development

BI Design

13 BI Applications
14 BI Design & Development
15 Advanced Analytics
16 Data Shadow Systems

Organization

17 People, Process and Politics
18 Project Management
19 Centers of Excellence

Über Autor(innen)

Sherman, Rick
Rick Sherman is the founder of Athena IT Solutions, which provides consulting, training and vendor services for business intelligence, analytics, data integration and data warehousing. He is an adjunct faculty member at Northeastern University’s Graduate School of Engineering and is a frequent contributor to industry publications, events, and webinars.