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What is Data Warehouse

Organizational Auditing and Assurance in the Digital Age
A system used for reporting and data analysis to provide business insight.
Published in Chapter:
Addressing Continuous Auditing Challenges in the Digital Age: A Literature Review
Hugo Miguel Cipriano (Instituto Universitário de Lisboa, Portugal), Ruben Pereira (ISCTE - Instituto Universitário de Lisboa, Portugal), Rafael Almeida (Universidade de Lisboa, Portugal), and Miguel MIra da Silva (Universidade de Lisboa, Portugal)
Copyright: © 2019 |Pages: 19
DOI: 10.4018/978-1-5225-7356-2.ch008
Abstract
Organizations face a challenge on the emerging technology-enabled businesses to prevent fraud and mitigate risks. Information technology (IT) advancements also provided the possibility of ongoing risk assessment and ongoing control assessment on the growing data volume in the digital age. Although organizations perceive the benefits of continuous auditing (CA) and continuous monitoring (CM), its adoption is low. Some barriers limit CA and CM adoption along with common challenges that organizations must face during implementation. This chapter provides a systematic literature review to promote CA and CM by presenting the main challenges in implementations and general guidance to overcome the identified challenges.
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Connected BIM Models Towards Industry 4.0
Is a system used for the analysis and collection of data from heterogeneous sources. In this way a unique repository containing real time and historical data reports is obtained, to generate data to be transmitted to the whole company.
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What-If Analysis on the Evaluation of User Interface Usability
Data repository that aggregates data from multiple sources.
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A Machine Learning Approach to Data Cleaning in Databases and Data Warehouses
A data warehouse is a database designed for the business intelligence requirements and managerial decision making of an organization. The data warehouse integrates data from the various operational systems and is typically loaded from these systems at regular intervals. It contains historical information that enables the analysis of business performance over time. The data are subject oriented, integrated, time variant, and nonvolatile.
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Management Information System in Higher Education
Data warehouse is a consistent, consolidated and refined information collection that integrates data from various data sources. The data warehouse produces information, reports and statistics for decision-making and other purposes.
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A Study of Information Requirement Determination Process of an Executive Information System
It is a relational database that is designed for query and analysis, and usually contains historical data that are derived from transaction data.
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Systems Biology of Human-Pathogenic Fungi
Special type of database for storage of heterogeneous data from different sources. Data warehouses are optimized for supporting and including data analyzes.
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Enterprise Data Lake Management in Business Intelligence and Analytics: Challenges and Research Gaps in Analytics Practices and Integration
A tool for integrating different data sources in a unified repository to support business intelligence and reporting.
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Horizontal Data Partitioning: Past, Present and Future
An integrated decision support database whose content is derived from the various operational databases. (1) A subject-oriented, integrated, time-variant, non-updatable collection of data used in support of management decision-making processes.
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Data Mining in Franchising
A database that is subject-oriented, integrated, time-variant, and non-volatile.
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Electronic Loyalty Programs Comparative Survey
A large database that collects an organization’s transactional and customer-related data in a single logical repository for analysis and managerial decision making purposes. The data can originate from many operational areas of the organization, such as Website transaction logs of customers, online shopping carts, point-of-sale terminals in stores, warehouse inventory, and field sales reports. Through the use of data mining tools, complex algorithms and filtering techniques on the data collected in a data warehouse, organizations can track their customers’ behavior online, and identify their needs and common problems. Data warehouses can provide managers with a more complete and accurate profile of their customers, which can be used to tailor product and service offerings in line with customer expectations.
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Applying Fuzzy Data Mining to Tourism Area
It is the storage of consolidated information dedicated to easily and quickly provide simple or preaggregated data for analysis.
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BIG Data: An Enabler in Developing Business Models in Cloud Computing Environments
A large data store containing the organization’s historical data, which is used primarily for data analysis and data mining.
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Business Intelligence
A central repository for all the data selectively collected from various sources by an enterprise’s business systems into a single database for useful analysis and access by end-users.
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Using Business Analytics in Franchise Organizations
A database which is subject-oriented, integrated, time-variant, and non-volatile.
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Why Is Data So Hard?: Challenges, Solutions, and Future Directions
A data source created for the purpose of making reporting and visualizations easier among an institution and contains cleaned and connected data from around the institution.
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Indices in XML Databases
XML database specifically modeled (i.e., multidimensionally with a starlike schema) to support XML decision-support and analytic queries.
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Integration and Information Sharing in E-Government
A data warehouse can be defined as a central repository of data, typically gathered from different operational databases. A data warehouse allows the users to make queries and perform detailed business analysis for decision-making purposes.
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A Survey of Data Warehouse Model Evolution
Collection of historical data, built by gathering and integrating data from several data sources, structured in a multidimensional way to support decisional queries.
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Big Data Techniques and Applications
Delivers deep operational insight with advanced in-database analytics.
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Searching Semantic Data Warehouses
A central repository of current and historical data made by integrating data from heterogeneous sources.
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Schema Evolution Models and Languages for Multidimensional Data Warehouses
Collection of historical data, built by gathering and integrating data from several sources, which supports decision-making processes.
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Statistical Dissemination Systems and the Web
A data warehouse is a repository of an organization’s data, specifically designed to support activities of analysis and decision making.
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Data Warehouse With OLAP Technology for the Tourism Industry
Data warehouse is a central repository of integrated data from one or more heterogeneous sources that enables efficient data analysis and reporting. It is considered as a core component of business intelligence.
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WikOLAP: Integration of Wiki and OLAP Systems
A subject-oriented, integrated, time-variant, and nonvolatile collection of data in support of management’s decision-making process.
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Empirical Investigation on the Evolution of BI Maturity in Malaysian Organizations
The function of data warehouse (DW) is to “collect and store integrated sets of historical data from multiple operational systems and feeds them to one or more data marts” ( Williams and Williams, 2007 , p. 201).
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Historical Overview of Decision Support Systems (DSS)
A repository of subject-oriented historical data that is organised to be accessible in a form readily acceptable for analytical processing activities.
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Process-Based Data Mining
A platform consisting of a repository of selected information drawn from remote databases or other information sources, which forms the infrastructural basis for supporting business decision making.
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Data Warehousing for Decision Support
This is a database built to support information access. Typically, a data warehouse is fed from one or more transaction databases. The data need to be cleaned and restructured to support queries, summaries, and analyses.
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Dynamic Reconstruction of Concept Maps
A set of archiving systems for company data in digital format, notable for its capacity to store historical data relating to the organisation’s activities (production, marketing, administration) and to make them available for querying for statistical or decision-making purposes (driven by the decision support system software). The presence of a data warehouse within the organization is a fundamental condition for implementing knowledge management practices.
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Mining User Activity Data In Higher Education Open Systems: Trends, Challenges, and Possibilities
A data warehouse is typically a second home for data. In large corporate or institutional settings, data deemed important for reporting purposes is copied out of various production systems and brought together in the data warehouse where is can be preserved and analyzed. In a university setting, a student data warehouse might contain historical data gathered from a variety of systems (admissions, housing, advising, degree audit, etc.).
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A Review of Advances in Supply Chain Intelligence
An integrated data repository system for extracting, loading and transforming data into information.
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Promoting Social and Solidarity Economy through Big Data
Specialized database optimized for reporting, often used for storing large amounts of structured data. Data is uploaded using ETL (extract, transform, and load) tools from operational data stores, and reports are often generated using business intelligence tools.
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Cultivating Student Engagement in a Personalized Online Learning Environment
Repository of data from adaptive learning platform, learning management system, student information system, customer relationship management application, and other technology tools and applications used to inform business operations and power predictive analytics.
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A Grading Data Warehouse Approach to Measuring and Analyzing Learning Performance: From Grading to Competency-Oriented Assessment
A database that implements a dimensional data model and contains a copy of operational and other data in order to provide highly performant means for analytics and reporting for decision making.
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Integrating Business Intelligence Services in the Cloud: A Conceptual Model
During the integration of data from multiple distributed heterogeneous databases and other information sources, a data warehouse is used as the repository to store the data.
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Data Warehouse and Business Intelligence Systems in the Context of E-HRM
A subject-oriented, integrated, time-variant, and nonvolatile collection of data. The data are usually stored in multidimensional cubes, an optimized way to provide data for analyze purposes.
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An Objective Function for Evaluation of Fragmentation Schema in Data Warehouse
Is a database for reporting and data analysis. Integrating data from one or more disparate sources creates a central repository of data, a Data Warehouse (DW). Data warehouses store current and historical data and are used for creating trending reports for senior management reporting such as annual and quarterly comparisons.
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Biomedical Data Warehouses
Subject-oriented, integrated, time-variant and nonvolatile collection of data in support of management’s decision-making process (Inmon, 2002).
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Multi-Level Data Integration and Data Mining in Systems Biology
The main repository of an organization’s historical data, its corporate memory. It contains the raw material for management’s decision support system. The critical factor leading to the use of a data warehouse is that a data analyst can perform complex queries and analysis, such as data mining, on the information without slowing down the operational systems. The data in the data warehouse is organized so that all the data elements relating to the same real-world event or object are linked together.
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A Review of Advances in Supply Chain Intelligence
An integrated data repository system for extracting, loading and transforming data into information.
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Scalable Data Warehouse Architecture: A Higher Education Case Study
A data warehouse (DW or DWH), also known as an enterprise data warehouse (EDW), is a system used for reporting and data analysis. They are central repositories of integrated data from one or more disparate sources.
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An Historical Account of Executive Information Systems Research in South Africa
A repository of subject-oriented historical data that is organised to be accessible in a form readily acceptable for analytical processing activities.
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Integrated Data Mining and Business Intelligence
A data warehouse is a database used for reporting and data analysis. It is a central repository of data which is created by integrating data from multiple disparate sources. Data warehouses store current as well as historicsal data and are commonly used for creating trending reports for senior management reporting such as annual and quarterly comparisons.
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Machine Learning Enables Decision-Making Processes for an Enterprise
This is a large data store containing the organization’s historical data which is used primarily for data analysis and data miming.
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Internet Diffusion in the Hospitality Industry
A data warehouse is a central repository for all or significant parts of the data that an enterprise’s various business systems collect.
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An Overview of Executive Information Systems (EIS) Research in South Africa
A repository of subject-oriented historical data that is organized to be accessible in a form readily acceptable for analytical processing activities.
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Deductive Data Warehouses: Analyzing Data Warehouses With Datalog (By Example)
A central data repository that contains cleaned and integrated data from different sources (databases, files, etc.).
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Challenges and Solutions of Real-Time Data Integration Techniques by ETL Application
Large volumes of data from many sources are centralised and combined in a data warehouse. With the help of its analytical capabilities, businesses can get more out of their data and make better decisions by gaining useful business insights.
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BI and Analytics for Effective Disaster Recovery Management Lessons From the Bayou
Provides a single version (or source) of the truth for decision support data. The data is extracted from source systems (e.g., operational systems, ERPs), transformed (e.g., consistent formats), integrated (e.g., around a common key, such as a customer ID), and loaded into the data warehouse.
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Storage and Retrieval of Multimedia Data about Unique Bulgarian Bells
Data warehouse is defined as a subject-oriented, integrated, time-variant and non-volatile collection of data supporting decision making process. Usually, a data warehouse is considered as a database that provides access to all the information of an organization.
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Using Business Analytics in Franchise Organizations
A database which is subject-oriented, integrated, time-variant, and non-volatile.
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Importance of Big Data
An accumulation of huge amounts of data from various sources inside a company and facilitates management in decision making. It is a relational database, intended for handling queries and analysis and not designed for transaction processing.
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Business Analytics in Franchising
A database which is subject-oriented, integrated, time-variant, and non-volatile.
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RIP Technique for Frequent Itemset Mining
A data warehouse is a subject-oriented, integrated, time-variant and non-volatile collection of data in support of management's decision making process.
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Designing Business Analytics Projects (BAP): A Five-Step Dashboarding Cycle
Data Warehouse is the central repository for the analytical information to be processed. Usually, this data is uploaded to this central repository and have real-time, near real-time, or sporadic updates.
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GR-OLAP: Online Analytical Processing of Grid Monitoring Information
A database application that collects, integrates, and stores data with the aim of producing accurate and timely management of information and support for analysis techniques.
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Intelligent Techniques for Analysis of Big Data About Healthcare and Medical Records
A group of data from different sources organized to present useful guidance to an organization’s decision makers. A shared repository of data.
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Organizational Data Warehousing
A database built to support information access. Typically a data warehouse is fed from one or more transaction databases. The data needs to be cleaned and restructured to support queries, summaries, and analyses.
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