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Business intelligence guidebook :: from data integration to analytics /

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...

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Bibliographic Details
Main Author:	Sherman, Rick (Author)
Format:	Electronic eBook
Language:	English
Published:	Amsterdam : Elsevier, [2014]
Subjects:	Business intelligence. BUSINESS & ECONOMICS > Industrial Management. BUSINESS & ECONOMICS > Management. BUSINESS & ECONOMICS > Management Science. BUSINESS & ECONOMICS > Organizational Behavior. Business intelligence
Online Access:	DE-862 DE-863 DE-862 DE-863
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, 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.
Physical Description:	1 online resource
Bibliography:	Includes bibliographical references and index.
ISBN:	9780124115286 0124115284

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505	0		\|a 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
505	8		\|a ""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 REQUIREMENTSâ€?BUSINESS, DATA AND QUALITY""; ""THE PURPOSE OF DEFINING REQUIREMENTS""; ""GOALS""; ""DELIVERABLES""; ""ROLES""; ""DEFINING REQUIREMENTS WORKFLOW""; ""INTERVIEWING""; ""DOCUMENTING REQUIREMENTS""
505	8		\|a Part iii -- architecturalframeworkchapter 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
505	8		\|a ""MASTER DATA MANAGEMENT""""CHAPTER 6 -- DATA ARCHITECTURE""; ""THE PURPOSE OF A DATA ARCHITECTURE""; ""HISTORY""; ""DATA ARCHITECTURAL CHOICES""; ""DATA INTEGRATION WORKFLOW""; ""DATA WORKFLOWâ€?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""
505	8		\|a ""DEFINITIONSâ€?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""
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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 REQUIREMENTSâ€?BUSINESS, DATA AND QUALITY""; ""THE PURPOSE OF DEFINING REQUIREMENTS""; ""GOALS""; ""DELIVERABLES""; ""ROLES""; ""DEFINING REQUIREMENTS WORKFLOW""; ""INTERVIEWING""; ""DOCUMENTING REQUIREMENTS"" Part iii -- architecturalframeworkchapter 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 WORKFLOWâ€?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"" ""DEFINITIONSâ€?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""
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illustrated	Not Illustrated
indexdate	2025-03-18T14:27:50Z
institution	BVB
isbn	9780124115286 0124115284
language	English
oclc_num	894555128
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physical	1 online resource
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publishDate	2014
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publishDateSort	2014
publisher	Elsevier,
record_format	marc
spelling	Sherman, Rick, author. Business intelligence guidebook : from data integration to analytics / Rick Sherman. Amsterdam : Elsevier, [2014] ©2015 1 online resource text txt rdacontent computer c rdamedia online resource cr rdacarrier Print version record. Includes bibliographical references and index. 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 REQUIREMENTSâ€?BUSINESS, DATA AND QUALITY""; ""THE PURPOSE OF DEFINING REQUIREMENTS""; ""GOALS""; ""DELIVERABLES""; ""ROLES""; ""DEFINING REQUIREMENTS WORKFLOW""; ""INTERVIEWING""; ""DOCUMENTING REQUIREMENTS"" Part iii -- architecturalframeworkchapter 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 WORKFLOWâ€?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"" ""DEFINITIONSâ€?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"" 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. Business intelligence. http://id.loc.gov/authorities/subjects/sh85018300 BUSINESS & ECONOMICS Industrial Management. bisacsh BUSINESS & ECONOMICS Management. bisacsh BUSINESS & ECONOMICS Management Science. bisacsh BUSINESS & ECONOMICS Organizational Behavior. bisacsh Business intelligence fast Print version: Sherman, Rick. Business intelligence guidebook 9780124114616 (DLC) 2014031205 (OCoLC)892514304
spellingShingle	Sherman, Rick Business intelligence guidebook : from data integration to analytics / 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 REQUIREMENTSâ€?BUSINESS, DATA AND QUALITY""; ""THE PURPOSE OF DEFINING REQUIREMENTS""; ""GOALS""; ""DELIVERABLES""; ""ROLES""; ""DEFINING REQUIREMENTS WORKFLOW""; ""INTERVIEWING""; ""DOCUMENTING REQUIREMENTS"" Part iii -- architecturalframeworkchapter 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 WORKFLOWâ€?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"" ""DEFINITIONSâ€?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"" Business intelligence. http://id.loc.gov/authorities/subjects/sh85018300 BUSINESS & ECONOMICS Industrial Management. bisacsh BUSINESS & ECONOMICS Management. bisacsh BUSINESS & ECONOMICS Management Science. bisacsh BUSINESS & ECONOMICS Organizational Behavior. bisacsh Business intelligence fast
subject_GND	http://id.loc.gov/authorities/subjects/sh85018300
title	Business intelligence guidebook : from data integration to analytics /
title_auth	Business intelligence guidebook : from data integration to analytics /
title_exact_search	Business intelligence guidebook : from data integration to analytics /
title_full	Business intelligence guidebook : from data integration to analytics / Rick Sherman.
title_fullStr	Business intelligence guidebook : from data integration to analytics / Rick Sherman.
title_full_unstemmed	Business intelligence guidebook : from data integration to analytics / Rick Sherman.
title_short	Business intelligence guidebook :
title_sort	business intelligence guidebook from data integration to analytics
title_sub	from data integration to analytics /
topic	Business intelligence. http://id.loc.gov/authorities/subjects/sh85018300 BUSINESS & ECONOMICS Industrial Management. bisacsh BUSINESS & ECONOMICS Management. bisacsh BUSINESS & ECONOMICS Management Science. bisacsh BUSINESS & ECONOMICS Organizational Behavior. bisacsh Business intelligence fast
topic_facet	Business intelligence. BUSINESS & ECONOMICS Industrial Management. BUSINESS & ECONOMICS Management. BUSINESS & ECONOMICS Management Science. BUSINESS & ECONOMICS Organizational Behavior. Business intelligence
work_keys_str_mv	AT shermanrick businessintelligenceguidebookfromdataintegrationtoanalytics

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