000 05644cam a2200577Ii 4500
001 ocn894555128
003 OCoLC
005 20190328114809.0
006 m o d
007 cr cnu---unuuu
008 141106s2014 ne ob 001 0 eng d
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019 _a923624465
_a928192714
_a956644562
020 _a9780124115286
_q(electronic bk.)
020 _a0124115284
_q(electronic bk.)
020 _z9780124114616
020 _z012411461X
035 _a(OCoLC)894555128
_z(OCoLC)923624465
_z(OCoLC)928192714
_z(OCoLC)956644562
050 4 _aHD38.7
_b.S52 2014eb
072 7 _aBUS
_x082000
_2bisacsh
072 7 _aBUS
_x041000
_2bisacsh
072 7 _aBUS
_x042000
_2bisacsh
072 7 _aBUS
_x085000
_2bisacsh
082 0 4 _a658.4/72
_223
100 1 _aSherman, Rick,
_eauthor.
245 1 0 _aBusiness intelligence guidebook : from data integration to analytics /
_h[electronic resource]
_cRick Sherman.
264 1 _aAmsterdam :
_bElsevier,
_c2014
264 4 _c�2015
300 _a1 online resource
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
588 0 _aPrint version record.
504 _aIncludes bibliographical references and index.
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 REQUIREMENTS�a�?BUSINESS, DATA AND QUALITY""; ""THE PURPOSE OF DEFINING REQUIREMENTS""; ""GOALS""; ""DELIVERABLES""; ""ROLES""; ""DEFINING REQUIREMENTS WORKFLOW""; ""INTERVIEWING""; ""DOCUMENTING REQUIREMENTS""
505 8 _a""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""
505 8 _a""MASTER DATA MANAGEMENT""""CHAPTER 6 -- DATA ARCHITECTURE""; ""THE PURPOSE OF A DATA ARCHITECTURE""; ""HISTORY""; ""DATA ARCHITECTURAL CHOICES""; ""DATA INTEGRATION WORKFLOW""; ""DATA WORKFLOW�a�?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""DEFINITIONS�a�?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""
520 _aBetween 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.
650 0 _aBusiness intelligence.
650 7 _aBUSINESS & ECONOMICS
_xIndustrial Management.
_2bisacsh
650 7 _aBUSINESS & ECONOMICS
_xManagement.
_2bisacsh
650 7 _aBUSINESS & ECONOMICS
_xManagement Science.
_2bisacsh
650 7 _aBUSINESS & ECONOMICS
_xOrganizational Behavior.
_2bisacsh
650 7 _aBusiness intelligence.
_2fast
_0(OCoLC)fst00842723
655 4 _aElectronic books.
655 7 _aElectronic books.
_2lcgft
776 0 8 _iPrint version:
_aSherman, Rick.
_tBusiness intelligence guidebook
_z9780124114616
_w(DLC) 2014031205
_w(OCoLC)892514304
856 4 0 _3ScienceDirect
_uhttp://www.sciencedirect.com/science/book/9780124114616
999 _c246992
_d246992