000 06986cam a2200625Mi 4500
001 9780429316371
003 FlBoTFG
005 20220509193025.0
006 m o d
007 cr cnu---unuuu
008 190720s2019 xx o 000 0 eng d
040 _aOCoLC-P
_beng
_epn
_cOCoLC-P
020 _a9781000054057
020 _a1000054055
020 _a9781000063875
_q(ePub ebook)
020 _a1000063879
020 _a9781000058963
_q(Mobipocket ebook)
020 _a1000058964
020 _a9780429316371
_q(ebook)
020 _a0429316372
020 _z9781138584211
_q(hbk.)
024 7 _a10.1201/9780429316371
_2doi
035 _a(OCoLC)1109783303
035 _a(OCoLC-P)1109783303
050 4 _aHD38.7
072 7 _aBUS
_x042000
_2bisacsh
072 7 _aBUS
_x083000
_2bisacsh
072 7 _aCOM
_x032000
_2bisacsh
072 7 _aKJC
_2bicssc
082 0 4 _a658.472
_223
100 1 _aRao-Graham, Lila.
245 1 0 _aBusiness Intelligence for Small and Medium-Sized Enterprises :
_ban Agile Roadmap Toward Business Sustainability.
260 _aMilton :
_bAuerbach Publications,
_c2019.
300 _a1 online resource (167 pages)
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
505 0 _aCover; Half Title; Title Page; Copyright Page; Dedication; CONTENTS; FOREWORD; AUTHORS; INTRODUCTION: CONCEPTIONS OF AGILITY AND BUSINESS INTELLIGENCE FOR SMES; Digital Business Trends; Conceptions of Agility; Business Intelligence as an Enabler of Agility; SMEs, Business Intelligence and Agility; About this Book; PART I: BI LANDSCAPE -- OPPORTUNITIES FOR SMEs; CHAPTER 1 BARRIERS AND STRATEGIES FOR ENTERPRISE ICT ADOPTION IN SMES; Introduction (Digital Economy -- Implications for Business); SMEs and ICT in Developing Economies; SMEs and ICT Adoption -- Barriers & Challenges
505 8 _aBI -- Value Opportunities for SMEsDistribution and Retail; Credit and Micro-Finance Services; CHAPTER 2 AN AGILE INTEGRATED METHODOLOGY FOR STRATEGIC BUSINESS INTELLIGENCE (AIMS-BI); Introduction; Why the Need for New Methodologies?; The Need for a Strategic, yet Agile Perspective; Know the Current State of your Information Maturity; End User and Key Stakeholder Engagement; Design of AIMS-BI; Description of AIMS-BI; Step 1: Information Maturity Assessment; Step 2: BI Opportunity Discovery; Step 3: BI Portfolio Evaluation; Step 4: Proof of Concept Prototypes
505 8 _aStrategic Business Intelligence RoadmapFindings from Applying AIMS-BI; Conclusion; PART II: NAVIGATING THE AGILE BI PROCESS; CHAPTER 3 INFORMATION MANAGEMENT (IM) MATURITY ASSESSMENT: EVALUATING BUSINESS CAPABILITIES AND GAPS; Introduction; Maturity Models in Organizations; Implementing the IM Maturity Model; Applying the AIMS-BI IM Maturity Assessment; Example of the Application of IM Maturity Assessment; Conclusion; CHAPTER 4 CREATING BI PORTFOLIOS; Introduction; The Discovery of BI Opportunities; BI Portfolio Evaluation; Example: BI Opportunity Discovery and Portfolio Evaluation
505 8 _aConclusionCHAPTER 5 THE PROCESS AND VALUE OF BUILDING PROOF-OF-CONCEPT PROTOTYPES; Introduction; Why Develop PoCs?; BI -- The Different Layers of Analytics; Monitoring Layer; What Is Data Visualization?; Data Visualization Process Models (VPM); Understanding the Business Context; Get Data; Visualization Design Considerations; How Will the User Respond to the Visualization?; How Will the Visualization Be Used?; How Should the Data Be Encoded?; Building Visualizations; Business Insights; Decisions and Actions; Prediction Layer; What Is Data Mining?; IKDDM Process Model for Data Mining
505 8 _aBusiness Understanding PhaseData Understanding; Data Preparation; Modeling (Data Mining); Evaluation; Deployment; Lessons Learned from Applying the Process Models to the Development of the PoCs; Conclusion; CHAPTER 6 DATA GOVERNANCE AND DATA QUALITY MANAGEMENT; Introduction; Data Governance and Data Quality; Data Quality Management Process; Stage 1: Defining Data Standards Quality Metrics; Stage 2: Data Quality Assessment; Stage 3: Data Maintenance/Stewardship; Stage 4: Data Life-Cycle Process Review; Conclusion; CHAPTER 7 DATA INTEGRATION: MANAGING DATA SOURCES FOR AGILITY; Introduction
500 _aOpportunities through Data Integration
520 _aBusiness intelligence (BI) has evolved over several years as organizations have extended their online transaction processing (OLTP) capabilities and applications to support their routine operations. With online analytical processing (OLAP), organizations have also established the capability to extract internal and external data from a variety of sources to specifically obtain intelligence about non-routine and often less-structured arrangements. BI therefore refers to applications and technologies that are used to gather, provide access to, and analyze data and information about the operations of an organization. It has the capability of providing comprehensive insight into the more volatile factors affecting the business and its operations, thereby facilitating enhanced decision-making quality and contributing to the creation of business value. Larger and more sophisticated organizations have long been exploiting these capabilities. Business Intelligence for Small and Medium-Sized Enterprises (SMEs) guides SMEs in replicating this experience to provide an agile roadmap toward business sustainability. The book points out that successful BI implementations have generated significant increases in revenue and cost savings, however, the failure rates are also very high. More importantly, it emphasizes that a full range of BI capabilities is not the exclusive purview of large organizations. It shows how SMEs make extensive use of BI techniques to develop the kind of agility endowing them with the organizational capability to sense and respond to opportunities and threats in an increasingly dynamic business environment. It points to the way to a market environment in which smaller organizations could have a larger role. In particular, the book explains that by establishing the agility to leverage internal and external data and information assets, SMEs can enhance their competitiveness by having a comprehensive understanding of the key to an agile roadmap for business sustainability.
588 _aOCLC-licensed vendor bibliographic record.
650 0 _aBusiness intelligence.
650 0 _aSmall business
_xManagement.
650 0 _aStrategic planning.
650 7 _aBUSINESS & ECONOMICS
_xManagement Science.
_2bisacsh
650 7 _aBUSINESS & ECONOMICS
_xInformation Management.
_2bisacsh
650 7 _aCOMPUTERS
_xInformation Technology.
_2bisacsh
700 1 _aMcNaughton, Maurice L.
700 1 _aMansingh, Gunjan.
856 4 0 _3Taylor & Francis
_uhttps://www.taylorfrancis.com/books/e/9780429316371
856 4 2 _3OCLC metadata license agreement
_uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
999 _c128396
_d128396