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What is Business Intelligence

Chapter 89
Encyclopedia of Human Resources Information Systems: Challenges in e-HRM
It is a set of tools used to manipulate a mass of operational data and to extract essential business information from them.
Published in Chapter:
Knowledge Management Systems as a Framework for IT in Knowledge Management
Ángel L. Meroño-Cerdán (Universidad de Murcia, Spain)
Copyright: © 2009 |Pages: 6
DOI: 10.4018/978-1-59904-883-3.ch089
Abstract
Designing information systems from the traditional database orientation is not sufficient to cope with today’s organisational difficulties. Employees need information technologies (IT) which provide them not only with information but also with knowledge. In this context, using a knowledge management system (KMS) perspective can be appropriate. Although the potential benefits of applying this approach have been argued, there is evidence of failures when applying a KMS, caused normally by overestimating the role of technology. To suit the role of IT in KMS, a process perspective is proposed.
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Chapter 51
Data Mining in Public Administration
Business intelligence is a new concept in the public sector that uses advanced analytical tools such as data mining to provide insights into organization trends, patterns, and decision making.
Published in Chapter: Data Mining in Public Administration; From: Handbook of Research on Public Information Technology
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Chapter 6
Analysis of Big Data
The tactics and technology utilized by businesses for data analysis and management of business data are referred to as business intelligence.
Published in Chapter: Analysis of Big Data; From: Encyclopedia of Data Science and Machine Learning
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Chapter 13
The Impact of Creating a Business Intelligence Platform on Higher Education: The Case of the American University in Cairo
BI is an umbrella term that includes the applications, infrastructure and tools, and best practices that enable access to and analysis of information to improve and optimize decisions and performance.
Published in Chapter: The Impact of Creating a Business Intelligence Platform on Higher Education: The Case of the American University in Cairo; From: Managerial Perspectives on Intelligent Big Data Analytics
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Chapter 193
E-Business Systems Security in Intelligent Organizations
Deployment of (usually artificial intelligence-based) techniques such as online analytical processing (OLAP) and data mining to analyze information in the operational data sources.
Published in Chapter: E-Business Systems Security in Intelligent Organizations; From: Encyclopedia of Information Science and Technology, Second Edition
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Chapter 14
Tax Authorities Big Data Analytics in Developing Countries: A Case Study of Indonesia
A technique that combines architecture, information technology tools and databases for collecting, storing, managing data and knowledge management with data analysis tools in order to present information that is useful for planners and decision makers.
Published in Chapter: Tax Authorities Big Data Analytics in Developing Countries: A Case Study of Indonesia; From: Creating and Sustaining an Information Governance Program
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Chapter 35
Business Intelligence through Analytics and Foresight
the process of building the capacity for an organization to make informed decisions based on historical data of its operations and of its operating context in order to achieve greater competitiveness.
Published in Chapter: Business Intelligence through Analytics and Foresight; From: Encyclopedia of Business Analytics and Optimization
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Chapter 6
Modelling in Support of Decision Making in Business Intelligence
It includes technologies, techniques and methods for data analysis and knowledge presentation for facilitation the business decision making process.
Published in Chapter: Modelling in Support of Decision Making in Business Intelligence; From: Integration Challenges for Analytics, Business Intelligence, and Data Mining
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Chapter 11
Green Information Systems for Sustainability
Business intelligence is the foundation for a green information system network that supports an organization’s ability to manage, communicate and develop its intangible assets sustainably. As interactions with other developed countries intensifies, so does the need to share information and knowledge. These intangible assets serve as a new commodity for business intelligence.
Published in Chapter: Green Information Systems for Sustainability; From: Handbook of Research on Waste Management Techniques for Sustainability
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Chapter 59
Knowledge Management and Intelligence Work: A Promising Combination
The process of gathering information in the field of business. The goal is to gain competitive advantage. Information gathered usually refers to customers (their needs, their decision making processes), the market (competitors, conditions in the industry), and general factors that may affect the market (the economy at large, technology, culture).
Published in Chapter: Knowledge Management and Intelligence Work: A Promising Combination; From: Encyclopedia of Knowledge Management, Second Edition
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Chapter 15
A Business Intelligence Maturity Evaluation Model for Management Information Systems Departments
Process of collecting, treating and using information to assist managers in the decision-making process.
Published in Chapter: A Business Intelligence Maturity Evaluation Model for Management Information Systems Departments; From: Handbook of Research on Emerging Technologies for Effective Project Management
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Chapter 118
Knowledge-Based Forensic Patterns and Engineering System
The process, technologies, and tools needed to turn data, patterns into information, information into knowledge, and knowledge into plans that help for forensic decisions.
Published in Chapter: Knowledge-Based Forensic Patterns and Engineering System; From: Encyclopedia of Information Science and Technology, Fourth Edition
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Chapter 18
Accessing, Analyzing, and Extracting Information from User Generated Contents
Broad category of applications and technologies for gathering, storing, analyzing, and providing access to data to help enterprise users make better business decisions
Published in Chapter: Accessing, Analyzing, and Extracting Information from User Generated Contents; From: Handbook of Research on Web 2.0, 3.0, and X.0: Technologies, Business, and Social Applications
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Chapter 73
Forecasting the Demand of Agricultural Crops/Commodity Using Business Intelligence Framework
Business intelligence is getting the right information to the right people at the right time so they can make decisions that ultimately improve performance.
Published in Chapter: Forecasting the Demand of Agricultural Crops/Commodity Using Business Intelligence Framework; From: Encyclopedia of Information Science and Technology, Fourth Edition
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Chapter 56
Machine Learning Enables Decision-Making Processes for an Enterprise
This is related to using analytical methods either manually or automatically for deriving relationships from the data.
Published in Chapter: Machine Learning Enables Decision-Making Processes for an Enterprise; From: Encyclopedia of Data Science and Machine Learning
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Chapter 438
Acquiring Competitive Advantage through Business Intelligence
The ability of an organization to collect, maintain, and organize knowledge in order to develop new business opportunities and mitigate existing threats.
Published in Chapter: Acquiring Competitive Advantage through Business Intelligence; From: Encyclopedia of Information Science and Technology, Third Edition
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Chapter 150
OLAP over XLM Data
A set of theories, methodologies, architectures, and technologies that transform raw data into meaningful and useful information and knowledge for business purposes, by handling large amounts of both structured and unstructured data.
Published in Chapter: OLAP over XLM Data; From: Encyclopedia of Business Analytics and Optimization
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Chapter 15
Data Warehousing for Decision Support
Business intelligence is a corporation’s ability to access and employ information usually contained in a data warehouse. With the information, the corporation can analyze and develop insights and understanding that lead to improved and informed business decision making.
Published in Chapter: Data Warehousing for Decision Support; From: Encyclopedia of Decision Making and Decision Support Technologies
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Chapter 1
Religious Tourism Experience Model (RTEM): A Recommendation Model for Dissemination of Cultural and Religious Heritage
This results from information systems that combine data with analytical tools in order to provide information relevant to decision making, while seeking to improve the quality and availability of this information to decision makers.
Published in Chapter: Religious Tourism Experience Model (RTEM): A Recommendation Model for Dissemination of Cultural and Religious Heritage; From: Handbook of Research on Technological Developments for Cultural Heritage and eTourism Applications
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Chapter 7
Business Analytics for Business Analysts in Manufacturing
The process of gathering and transforming raw data into actionable insights yielding better decisions.
Published in Chapter: Business Analytics for Business Analysts in Manufacturing; From: Handbook of Research on Organizational Transformations through Big Data Analytics
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Chapter 42
Research Trends in Information Systems From the Management Discipline Based on Co-Occurrence Analysis
Includes the tools, practices, and infrastructures necessary for the organisation, management and analysis of information, in a visual and customised way, to improve business decision making.
Published in Chapter: Research Trends in Information Systems From the Management Discipline Based on Co-Occurrence Analysis; From: Encyclopedia of Organizational Knowledge, Administration, and Technology
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Chapter 11
Why Is Data So Hard?: Challenges, Solutions, and Future Directions
A group who usually works within the Information Technology area of an institution and is responsible for curated and enriched data, as well as reports and visualizations. This group is focused more around operational reporting.
Published in Chapter: Why Is Data So Hard?: Challenges, Solutions, and Future Directions; From: Technology Leadership for Innovation in Higher Education
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Chapter 114
Integrated Data Mining and Business Intelligence
Business intelligence (BI) is the ability of an organization to collect, maintain, and organize knowledge. BI technologies provide historical, current and predictive views of business operations. Common functions of business intelligence technologies are reporting, online analytical processing (OLAP), analytics, process mining, complex event processing, business performance management, benchmarking.
Published in Chapter: Integrated Data Mining and Business Intelligence; From: Encyclopedia of Business Analytics and Optimization
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Chapter 91
Using Fuzzy Logic for Optimizing Business Intelligence Success in Multiple Investment Combinations
A broad category of applications, technologies, and processes for integrated acquisition, interpretation, collation, analysis, and exploitation of data to help business users make better decisions in order to improve business operations, reduce uncertainty & apply past experience to develop an exact understanding of business dynamics.
Published in Chapter: Using Fuzzy Logic for Optimizing Business Intelligence Success in Multiple Investment Combinations; From: Encyclopedia of Information Science and Technology, Third Edition
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Chapter 8
Business Intelligence
The process of using advanced applications and technologies to gather, store, analyse and transform overloaded business information into knowledge that provides significant business value in improving the effectiveness of managerial decision making.
Published in Chapter: Business Intelligence; From: Encyclopedia of Knowledge Management, Second Edition
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Chapter 2
Integration of Data Mining and Business Intelligence in Big Data Analytics: A Research Agenda on Scholarly Publications
It is a collection of processes, architectures, and technologies that turn raw data into useful knowledge driving productive business behavior. To turn data into actionable knowledge it is a suite of tools and services.
Published in Chapter: Integration of Data Mining and Business Intelligence in Big Data Analytics: A Research Agenda on Scholarly Publications; From: Integration Challenges for Analytics, Business Intelligence, and Data Mining
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Chapter 30
Big Data Mining and Analytics
Is a set of theories, methodologies, processes, architectures, and technologies that transform raw data into meaningful and useful information.
Published in Chapter: Big Data Mining and Analytics; From: Encyclopedia of Business Analytics and Optimization
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Chapter 27
Integrating Business Intelligence Services in the Cloud: A Conceptual Model
Business Intelligence is an umbrella term that includes the applications, infrastructure and tools, and best practices that enable access to and analysis of information to improve and optimize decisions and performance.
Published in Chapter: Integrating Business Intelligence Services in the Cloud: A Conceptual Model; From: Handbook of Research on Architectural Trends in Service-Driven Computing
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Chapter 22
Sustainability, Risk, and Business Intelligence in Supply Chains
Tools and techniques to transform data to information for business purposes.
Published in Chapter: Sustainability, Risk, and Business Intelligence in Supply Chains; From: Handbook of Research on Green Economic Development Initiatives and Strategies
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Chapter 7
Business Applications of Big Data: Considerations for Not-for-Profits
The methodology for the acquisition and transformation of raw data into useful information for business analysis.
Published in Chapter: Business Applications of Big Data: Considerations for Not-for-Profits; From: Handbook of Research on Emerging Business Models and Managerial Strategies in the Nonprofit Sector
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Chapter 211
Supply Chain Analytics in the Era of Big Data
A set of tools and technologies for gathering, storing, accessing, and analyzing data to aid in managerial decision-making.
Published in Chapter: Supply Chain Analytics in the Era of Big Data; From: Encyclopedia of Business Analytics and Optimization
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Chapter 3
How Business Intelligence and Data Analytics Can Leverage Business
Refers to capabilities that enable organizations to make better decisions, take informed actions, and implement more-efficient business processes.
Published in Chapter: How Business Intelligence and Data Analytics Can Leverage Business; From: Data-Driven Business Intelligence Systems for Socio-Technical Organizations
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Chapter 14
Challenges and Solutions of Real-Time Data Integration Techniques by ETL Application
It is a branch of data analytics that deals with collecting, analysing, and visualising data. Users can examine this data to learn more about how the company is doing.
Published in Chapter: Challenges and Solutions of Real-Time Data Integration Techniques by ETL Application; From: Big Data Analytics Techniques for Market Intelligence
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Chapter 14
A Data Warehouse Integration Methodology in Support of Collaborating SMEs
A set of tools, techniques, and methodologies for managing and analysing large quantities of operational data for obtaining aggregated, highly relevant strategic information.
Published in Chapter: A Data Warehouse Integration Methodology in Support of Collaborating SMEs; From: Handbook of Research on Organizational Transformations through Big Data Analytics
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Chapter 10
A Geo-Decisional Tool for the Management of the Agricultural Development Fund Under the Green Morocco Plan
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Chapter 108
Organizational Data Warehousing
A corporation’s ability to access and employ information usually contained in a data warehouse. With the information, the corporation can analyze and develop insights and understanding that lead to improved and informed business decision making.
Published in Chapter: Organizational Data Warehousing; From: Encyclopedia of Information Technology Curriculum Integration
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Chapter 58
Business Intelligence Impacts on Design of Enterprise Systems
Business intelligence, or BI, is an general term that refers to a range of capability and tools used to analyze an organization’s raw data and transform them to actionable knowledge by data mining, online analytical processing, querying, reporting and so on.
Published in Chapter: Business Intelligence Impacts on Design of Enterprise Systems; From: Advanced Methodologies and Technologies in Business Operations and Management
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Chapter 37
Data Science for Business Analytics and Business Intelligence
Business intelligence includes a set of different theories, methods and technologies which transform raw data of different sources into information or knowledge relevant for business decisions.
Published in Chapter: Data Science for Business Analytics and Business Intelligence; From: Encyclopedia of Organizational Knowledge, Administration, and Technology
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Chapter 126
Improving Knowledge Availability of Forensic Intelligence through Forensic Pattern Warehouse (FPW)
The process, technologies, and tools needed to turn data, patterns into information, information into knowledge, and knowledge into plans that help for forensic decisions.
Published in Chapter: Improving Knowledge Availability of Forensic Intelligence through Forensic Pattern Warehouse (FPW); From: Encyclopedia of Information Science and Technology, Third Edition
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Chapter 8
Effects and Potentials of Business Intelligence Tools on Tourism Companies in a Tourism 4.0 Environment
This results from information systems that combine data with analytical tools to provide information relevant to decision-making while seeking to improve the quality and availability of this information to decision-makers.
Published in Chapter: Effects and Potentials of Business Intelligence Tools on Tourism Companies in a Tourism 4.0 Environment; From: Internet of Behaviors Implementation in Organizational Contexts
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Chapter 3
Adaptive Business Intelligence
A collection of tools, methods, technologies, and processes needed to transform data into actionable knowledge.
Published in Chapter: Adaptive Business Intelligence; From: Encyclopedia of Artificial Intelligence
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Chapter 34
Business Intelligence Applied to Tourism
This results from information systems that combine data with analytical tools to provide information relevant to decision making while seeking to improve the quality and availability of this information.
Published in Chapter: Business Intelligence Applied to Tourism; From: Encyclopedia of Data Science and Machine Learning
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Chapter 17
Information Architecture as an Enabler for Business Development: A Case Study
Umbrella term that includes the applications, infrastructure and tools, and best practices that enable access to and analysis of information to improve and optimize decisions and performance.
Published in Chapter: Information Architecture as an Enabler for Business Development: A Case Study; From: Handbook of Research on Information Architecture and Management in Modern Organizations
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Chapter 34
Forecasting the Demand of Agricultural Crops/Commodity Using Business Intelligence Framework
Business intelligence is getting the right information to the right people at the right time so they can make decisions that ultimately improve performance.
Published in Chapter: Forecasting the Demand of Agricultural Crops/Commodity Using Business Intelligence Framework; From: Advanced Methodologies and Technologies in Business Operations and Management
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Chapter 66
Defining a Business-Driven Optimization Problem
The ability to collect, integrate, and organize the data in a way which received by the right source, at the right time, and via the right tool. It provides basic insights about the data by regenerating reports, queries, alerts, etc.
Published in Chapter: Defining a Business-Driven Optimization Problem; From: Encyclopedia of Business Analytics and Optimization
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Chapter 21
Towards an Effective Imaging-Based Decision Support System for Skin Cancer
Software tools that can analyze large data quantities and retrieve information to reach knowledgeable conclusions.
Published in Chapter: Towards an Effective Imaging-Based Decision Support System for Skin Cancer; From: Handbook of Research on Applied Intelligence for Health and Clinical Informatics
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Chapter 11
Exploratory Investigation Into Globalization and Linkages Among ICTs and Usages Within SMEs Environments in Cambodia
It is a combination of processes, products, and technologies that have the ability in supporting organization, and can have a direct key role in data management by storing, and analyzing the data collected from internal and external sources, and on decision making by creating knowledge, and finally on Business Performance management.
Published in Chapter: Exploratory Investigation Into Globalization and Linkages Among ICTs and Usages Within SMEs Environments in Cambodia; From: Impact of Globalization and Advanced Technologies on Online Business Models
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Chapter 99
Emerging Tools and Technologies in Data Science
The whole process or system of providing the refined and smart information to the business people or organizations based on properly processed pure data, to help them make accurate and timely decisions on the major and critical issues to sustain and succeed.
Published in Chapter: Emerging Tools and Technologies in Data Science; From: Encyclopedia of Data Science and Machine Learning
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Chapter 24
Big Data and Its Role in Facilitating the Visualization of Financial Analytics
Business Intelligence (BI) is defined as ‘‘the set of techniques and tools for the transformation of raw data into meaningful and useful information for Business Analysis purposes”. BI technologies are capable of handling large amounts of unstructured data to help identify, develop, and otherwise create new strategic business opportunities ( Vasarhelyi et al., 2015 ).
Published in Chapter: Big Data and Its Role in Facilitating the Visualization of Financial Analytics; From: Handbook of Research on Big Data Storage and Visualization Techniques
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Chapter 5
Authentication Model for Enterprise Resource Planning Network
The concept has a wide range of concealment of all the processes and conducts analysis and/or evaluation of the work at the strategic level, tactical level, or operational level by providing direction for optimizing business performance.
Published in Chapter: Authentication Model for Enterprise Resource Planning Network; From: Handbook of Research on Threat Detection and Countermeasures in Network Security
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Chapter 101
Harnessing the Power of Big Data Analytics
Transformation of data collected from all aspects of the business into a decision making tool.
Published in Chapter: Harnessing the Power of Big Data Analytics; From: Encyclopedia of Business Analytics and Optimization
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Chapter 2
Quality and Effectiveness of ERP Software: Data Mining Perspective
A term used to refer to collective technologies, infrastructure, algorithms and visualization techniques that are used in collecting, organizing, and storing data, knowledge extraction, and presentation of information for business strategic decision-making process.
Published in Chapter: Quality and Effectiveness of ERP Software: Data Mining Perspective; From: Metrics and Models for Evaluating the Quality and Effectiveness of ERP Software
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Chapter 100
Organizational Implications of Managing the HRIS Employee Experience
Business intelligence (BI), a term coined in the late 1980s, describes the enterprise’s ability to access and explores information, analyzing that information and developing insights and understanding, which leads to improved and informed decision making. BI products include decision support systems (DSS), executive information systems (EIS), and query and report writing tools.
Published in Chapter: Organizational Implications of Managing the HRIS Employee Experience; From: Encyclopedia of Human Resources Information Systems: Challenges in e-HRM
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Chapter 12
Empirical Investigation on the Evolution of BI Maturity in Malaysian Organizations
Business intelligence (BI) refers to “a collection of data warehousing, data mining, analytics, reporting and visualization technologies, tools, and practices to collect, integrate, cleanse, and mine enterprise information for decision making” ( Dayal et al., 2009 , p. 1).
Published in Chapter: Empirical Investigation on the Evolution of BI Maturity in Malaysian Organizations; From: Handbook of Research on Organizational Transformations through Big Data Analytics
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Chapter 18
A Framework for Using Analytics to Make Decisions
a set of technologies and processes that use data to understand and analyse business performance encompassing data access, reporting and analytics.
Published in Chapter: A Framework for Using Analytics to Make Decisions; From: Handbook of Research on Socio-Technical Design and Social Networking Systems
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Chapter 74
Management Support Systems Type Business Intelligence (BI) and Factors Determining Their Implementation
Is a broad spectrum of issues such as practices, methods, or tools, with data analysis. BIs transcribe data into information and knowledge. BI can be an independent system integrated with other systems or exist as a Management Information System module.
Published in Chapter: Management Support Systems Type Business Intelligence (BI) and Factors Determining Their Implementation; From: Encyclopedia of Organizational Knowledge, Administration, and Technology
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Chapter 7
Digital Knowledge Transfer for Banks: From a Lean Data Management Perspective
Business Intelligence is a software process for data analysis and management of business information through integrating strategies and technologies used by companies.
Published in Chapter: Digital Knowledge Transfer for Banks: From a Lean Data Management Perspective; From: Harnessing Technology for Knowledge Transfer in Accountancy, Auditing, and Finance
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Chapter 1
A Clinical Recommendation System to Maternity Care
A technology that uses data analysis tools and applications to help business users make more informed decision.
Published in Chapter: A Clinical Recommendation System to Maternity Care; From: Innovations in Global Maternal Health: Improving Prenatal and Postnatal Care Practices
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Chapter 6
Extending and Applying Business Intelligence and Customer Strategies for Green ICT
creation of collaboration and correlation between disparate systems resulting in enhanced customer service and optimized business processes
Published in Chapter: Extending and Applying Business Intelligence and Customer Strategies for Green ICT; From: Handbook of Research on Green ICT: Technology, Business and Social Perspectives
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Chapter 7
BI and Analytics for Effective Disaster Recovery Management Lessons From the Bayou
A broad category of applications, technologies, and processes for gathering, storing, accessing, and analyzing data to help business users make better decisions.
Published in Chapter: BI and Analytics for Effective Disaster Recovery Management Lessons From the Bayou; From: Achieving Organizational Agility, Intelligence, and Resilience Through Information Systems
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Chapter 4
Exploring the Consumer Profile of the Museum of Futebol Clube do Porto Through Online Reviews: A Study Using TripAdvisor Data
This results from information systems that combine data with analytical tools to provide information relevant to decision-making while seeking to improve the quality and availability of this information to decision-makers.
Published in Chapter: Exploring the Consumer Profile of the Museum of Futebol Clube do Porto Through Online Reviews: A Study Using TripAdvisor Data; From: Marketing and Big Data Analytics in Tourism and Events
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Chapter 481
A Review of Advances in Supply Chain Intelligence
A set of processes, technologies and tools comprising data warehousing, On-Line Analytical Processing, and information delivery in order to turn data into information and information into knowledge.
Published in Chapter: A Review of Advances in Supply Chain Intelligence; From: Encyclopedia of Information Science and Technology, Fourth Edition
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Chapter 7
The Adoption of Business Intelligence as a Competitive Strategy Among SMEs: A Developing Country Study
The technology-driven process of collecting, processing, and analysing information to enhance the competitiveness of an enterprise.
Published in Chapter: The Adoption of Business Intelligence as a Competitive Strategy Among SMEs: A Developing Country Study; From: Data-Driven Business Intelligence Systems for Socio-Technical Organizations
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Chapter 8
K-Nearest Neighbors Algorithm (KNN): An Approach to Detect Illicit Transaction in the Bitcoin Network
Business intelligence, or BI, is a tool that allows the generation of reports in an automated way and in real time. This methodology is based on professional software solutions. The collection of data and their aggregation in readable documents give the management and operational functions the keys to guide the company's strategy.
Published in Chapter: K-Nearest Neighbors Algorithm (KNN): An Approach to Detect Illicit Transaction in the Bitcoin Network; From: Integration Challenges for Analytics, Business Intelligence, and Data Mining
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Chapter 91
A Review of Advances in Supply Chain Intelligence
A set of processes, technologies and tools comprising data warehousing, On-Line Analytical Processing, and information delivery in order to turn data into information and information into knowledge.
Published in Chapter: A Review of Advances in Supply Chain Intelligence; From: Advanced Methodologies and Technologies in Business Operations and Management
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 256
Business Intelligence Impacts on Design of Enterprise Systems
Business intelligence, or BI, is an general term that refers to a range of capability and tools used to analyze an organization’s raw data and transform them to actionable knowledge by data mining, online analytical processing, querying, reporting and so on.
Published in Chapter: Business Intelligence Impacts on Design of Enterprise Systems; From: Encyclopedia of Information Science and Technology, Fourth Edition
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 1
The Digital Tourism Business: A Systematic Review of Essential Digital Marketing Strategies and Trends
It is a data analysis strategy that aims to extract knowledge from large databases or big data to improve processes within the company.
Published in Chapter: The Digital Tourism Business: A Systematic Review of Essential Digital Marketing Strategies and Trends; From: Digital Marketing Strategies for Tourism, Hospitality, and Airline Industries
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Chapter 9
The Link Between Innovation and Prosperity: How to Manage Knowledge for the Individual's and Society's Benefit From Big Data Governance?
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Chapter 10
Augmented Reality for Smart Tourism in Religious Heritage Itineraries: Tourism Experiences in the Technological Age
This results from information systems that combine data with analytical tools in order to provide information relevant to decision making, while seeking to improve the quality and availability of this information to decision makers.
Published in Chapter: Augmented Reality for Smart Tourism in Religious Heritage Itineraries: Tourism Experiences in the Technological Age; From: Handbook of Research on Human-Computer Interfaces, Developments, and Applications
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Chapter 18
Machine Learning in Text Analysis
A technological driven process for analyzing data and presenting information, in such a way that user can take immediate actions and unable decision making.
Published in Chapter: Machine Learning in Text Analysis; From: Handbook of Research on Emerging Trends and Applications of Machine Learning
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Chapter 82
Modern Information Technology for Suitable Development in Small Business with Links to Agile Methodology and Swarm Intelligence
Solution offers tools for sophisticated analysis that work with stored data in various information sources. IT users evaluate intuitive user-friendly interface with support needed flexibility, agility and predictability.
Published in Chapter: Modern Information Technology for Suitable Development in Small Business with Links to Agile Methodology and Swarm Intelligence; From: Encyclopedia of Information Science and Technology, Third Edition
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Chapter 149
OLAP over Uncertain and Imprecise Data Streams
A set of theories, methodologies, architectures, and technologies that transform raw data into meaningful and useful information and knowledge for business purposes, by handling large amounts of both structured and unstructured data.
Published in Chapter: OLAP over Uncertain and Imprecise Data Streams; From: Encyclopedia of Business Analytics and Optimization
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 169
Big Data Analytics in Supply Chain Management
A set of processes, technologies and tools comprising data warehousing, On-Line Analytical Processing, and information delivery in order to turn data into information and information into knowledge.
Published in Chapter: Big Data Analytics in Supply Chain Management; From: Encyclopedia of Organizational Knowledge, Administration, and Technology
Full Text Chapter Download: US $37.50 Add to Cart
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