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What is Business Intelligence

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)
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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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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).
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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.
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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.
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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
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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.
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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.
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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.
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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.
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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.
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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.
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Business Analytics for Business Analysts in Manufacturing
The process of gathering and transforming raw data into actionable insights yielding better decisions.
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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.
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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.
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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.
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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.
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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.
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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.
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Potential of Business Intelligence and Analytics on the Performance of Tourism and Hospitality Companies
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.
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Big Data Mining and Analytics
Is a set of theories, methodologies, processes, architectures, and technologies that transform raw data into meaningful and useful information.
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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.
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Challenges and Future Directions on Business Intelligence
Business Intelligence is a data analysis process that utilizes technology to provide executives, managers, and other corporate end users with actionable information to facilitate informed business decision-making. Business Intelligence (BI) comprises a range of tools, systems, and processes that allow organizations to gather data from both internal and external sources, process it for analysis, and produce reports, dashboards, and data visualizations.
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Sustainability, Risk, and Business Intelligence in Supply Chains
Tools and techniques to transform data to information for business purposes.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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Adaptive Business Intelligence
A collection of tools, methods, technologies, and processes needed to transform data into actionable knowledge.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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 ).
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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.
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Harnessing the Power of Big Data Analytics
Transformation of data collected from all aspects of the business into a decision making tool.
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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.
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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.
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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).
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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.
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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.
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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.
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A Clinical Recommendation System to Maternity Care
A technology that uses data analysis tools and applications to help business users make more informed decision.
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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
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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