Data Mart in Business Intelligence with Ralph Kimball for Commercial Sales

Business intelligence in organizations, not exploiting the volume of their data is a problem, if they do not have technological tools that allow real-time reporting. This article presents a well-executed study on the implementation of a Data Mart in an organization,...

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Autores principales: Alessandro Chanco Torres, Angel Quiñonez Gastelu, Juan J. Soria, M Manrique, Lidia Segura Peña
Formato: Capítulo de libro
Lenguaje:inglés
Publicado: 2024
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author Alessandro Chanco Torres
Angel Quiñonez Gastelu
Juan J. Soria
M Manrique
Lidia Segura Peña
author_browse Alessandro Chanco Torres
Angel Quiñonez Gastelu
Juan J. Soria
Lidia Segura Peña
M Manrique
author_facet Alessandro Chanco Torres
Angel Quiñonez Gastelu
Juan J. Soria
M Manrique
Lidia Segura Peña
author_sort Alessandro Chanco Torres
collection Producción científica
description Business intelligence in organizations, not exploiting the volume of their data is a problem, if they do not have technological tools that allow real-time reporting. This article presents a well-executed study on the implementation of a Data Mart in an organization,...
format Book chapter
id oai:cris.upeu.edu.pe:20.500.15037/988
institution UPeU
language English
publishDate 2024
publishDateRange 2024
publishDateSort 2024
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spelling oai:cris.upeu.edu.pe:20.500.15037/9882026-11-02T22:34:06ZData Mart in Business Intelligence with Ralph Kimball for Commercial SalesAlessandro Chanco TorresAngel Quiñonez GasteluJuan J. SoriaM ManriqueLidia Segura PeñaBusiness intelligenceBusinessComputer scienceKnowledge managementBusiness intelligenceBusinessComputer scienceKnowledge managementSocial Sciences Business, Management and Accounting Management Information Systems Big Data and Business IntelligencePhysical Sciences Computer Science Information Systems Data Mining Algorithms and ApplicationsSocial Sciences Business, Management and Accounting Marketing Customer churn and segmentationBusiness intelligence in organizations, not exploiting the volume of their data is a problem, if they do not have technological tools that allow real-time reporting. This article presents a well-executed study on the implementation of a Data Mart in an organization,...Book chapter10.1007/978-3-031-53552-9_34https://hdl.handle.net/20.500.15037/988W4392125214enLecture notes in networks and systems2367-33702367-33892024-01-012026-06-13T09:42:25Z2026-06-13T09:42:25Z
spellingShingle Business intelligence
Business
Computer science
Knowledge management
Business intelligence
Business
Computer science
Knowledge management
Social Sciences Business, Management and Accounting Management Information Systems Big Data and Business Intelligence
Physical Sciences Computer Science Information Systems Data Mining Algorithms and Applications
Social Sciences Business, Management and Accounting Marketing Customer churn and segmentation
Alessandro Chanco Torres
Angel Quiñonez Gastelu
Juan J. Soria
M Manrique
Lidia Segura Peña
Data Mart in Business Intelligence with Ralph Kimball for Commercial Sales
title Data Mart in Business Intelligence with Ralph Kimball for Commercial Sales
title_full Data Mart in Business Intelligence with Ralph Kimball for Commercial Sales
title_fullStr Data Mart in Business Intelligence with Ralph Kimball for Commercial Sales
title_full_unstemmed Data Mart in Business Intelligence with Ralph Kimball for Commercial Sales
title_short Data Mart in Business Intelligence with Ralph Kimball for Commercial Sales
title_sort data mart in business intelligence with ralph kimball for commercial sales
topic Business intelligence
Business
Computer science
Knowledge management
Business intelligence
Business
Computer science
Knowledge management
Social Sciences Business, Management and Accounting Management Information Systems Big Data and Business Intelligence
Physical Sciences Computer Science Information Systems Data Mining Algorithms and Applications
Social Sciences Business, Management and Accounting Marketing Customer churn and segmentation
topic_facet Business intelligence
Business
Computer science
Knowledge management
Business intelligence
Business
Computer science
Knowledge management
Social Sciences Business, Management and Accounting Management Information Systems Big Data and Business Intelligence
Physical Sciences Computer Science Information Systems Data Mining Algorithms and Applications
Social Sciences Business, Management and Accounting Marketing Customer churn and segmentation
url https://hdl.handle.net/20.500.15037/988
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