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Business intelligence guidebook : from data integration to analytics

Author: Rick Sherman
Publisher: Amsterdam : Elsevier, [2014] ©2015
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
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,  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Sherman, Rick.
Business intelligence guidebook
(DLC) 2014031205
(OCoLC)892514304
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Rick Sherman
ISBN: 9780124115286 0124115284
OCLC Number: 894555128
Description: 1 online resource
Contents: ""Front Cover""; ""Business Intelligence Guidebook""; ""Copyright""; ""Contents""; ""Foreword""; ""How to Use This Book""; ""CHAPTER SUMMARIES""; ""Acknowledgments""; ""PART I --
CONCEPTS AND CONTEXT""; ""CHAPTER 1 --
THE BUSINESS DEMAND FOR DATA, INFORMATION, AND ANALYTICS""; ""JUST ONE WORD: DATA""; ""WELCOME TO THE DATA DELUGE""; ""TAMING THE ANALYTICS DELUGE""; ""TOO MUCH DATA, TOO LITTLE INFORMATION""; ""DATA CAPTURE VERSUS INFORMATION ANALYSIS""; ""THE FIVE CS OF DATA""; ""COMMON TERMINOLOGY FROM OUR PERSPECTIVE""; ""REFERENCES""; ""PART II --
BUSINESS AND TECHNICAL NEEDS"" ""CHAPTER 2 --
JUSTIFYING BI: BUILDING THE BUSINESS AND TECHNICAL CASE""""WHY JUSTIFICATION IS NEEDED""; ""BUILDING THE BUSINESS CASE""; ""BUILDING THE TECHNICAL CASE""; ""ASSESSING READINESS""; ""CREATING A BI ROAD MAP""; ""DEVELOPING SCOPE, PRELIMINARY PLAN, AND BUDGET""; ""OBTAINING APPROVAL""; ""COMMON JUSTIFICATION PITFALLS""; ""CHAPTER 3 --
DEFINING REQUIREMENTS�BUSINESS, DATA AND QUALITY""; ""THE PURPOSE OF DEFINING REQUIREMENTS""; ""GOALS""; ""DELIVERABLES""; ""ROLES""; ""DEFINING REQUIREMENTS WORKFLOW""; ""INTERVIEWING""; ""DOCUMENTING REQUIREMENTS"" ""Part iii --
architecturalframework""""chapter 4 --
architecture framework""; ""the need for architectural blueprints""; ""architectural framework""; ""information architecture""; ""data architecture""; ""technical architecture""; ""product architecture""; ""metadata""; ""security and privacy""; ""avoiding accidents with architectural planning""; ""do not obsess over the architecture""; ""chapter 5 --
information architecture""; ""the purpose of an information architecture""; ""data integration framework""; ""dif information architecture""; ""operational bi versus analytical bi"" ""MASTER DATA MANAGEMENT""""CHAPTER 6 --
DATA ARCHITECTURE""; ""THE PURPOSE OF A DATA ARCHITECTURE""; ""HISTORY""; ""DATA ARCHITECTURAL CHOICES""; ""DATA INTEGRATION WORKFLOW""; ""DATA WORKFLOW�RISE OF EDW AGAIN""; ""OPERATIONAL DATA STORE""; ""REFERENCES""; ""CHAPTER 7 --
TECHNOLOGY & PRODUCT ARCHITECTURES""; ""WHERE ARE THE PRODUCT AND VENDOR NAMES?""; ""EVOLUTION NOT REVOLUTION""; ""TECHNOLOGY ARCHITECTURE""; ""PRODUCT AND TECHNOLOGY EVALUATIONS""; ""PART IV --
DATA DESIGN""; ""CHAPTER 8 --
FOUNDATIONAL DATA MODELING""; ""THE PURPOSE OF DATA MODELING"" ""DEFINITIONS�THE DIFFERENCE BETWEEN A DATA MODEL AND DATA MODELING""""THREE LEVELS OF DATA MODELS""; ""DATA MODELING WORKFLOW""; ""WHERE DATA MODELS ARE USED""; ""ENTITY-RELATIONSHIP (ER) MODELING OVERVIEW""; ""NORMALIZATION""; ""LIMITS AND PURPOSE OF NORMALIZATION""; ""CHAPTER 9 --
DIMENSIONAL MODELING""; ""INTRODUCTION TO DIMENSIONAL MODELING""; ""HIGH-LEVEL VIEW OF A DIMENSIONAL MODEL""; ""FACTS""; ""DIMENSIONS""; ""SCHEMAS""; ""ENTITY RELATIONSHIP VERSUS DIMENSIONAL MODELING""; ""PURPOSE OF DIMENSIONAL MODELING""; ""FACT TABLES""; ""ACHIEVING CONSISTENCY""
Responsibility: Rick Sherman.

Abstract:

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.

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"Anyone tasked with business intelligence and data integration will want this outstanding introduction and guidebook...An established professional will also not be disappointed with the fresh how-to Read more...

 
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