Business intelligence governance framework in a university: universidad de la costa case study
Universities and companies have decision-making processes that allow to achieve institutional objectives. Currently, data analysis has an important role in generating knowledge, obtaining important patterns and predictions for formulating strategies. This article presents the design of a business in...
- Autores:
-
Combita Niño, Harold Arturo
Cómbita Niño, Johana Patricia
Morales Ortega, Roberto Cesar
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2018
- Institución:
- Corporación Universidad de la Costa
- Repositorio:
- REDICUC - Repositorio CUC
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.cuc.edu.co:11323/2256
- Acceso en línea:
- https://hdl.handle.net/11323/2256
https://repositorio.cuc.edu.co/
- Palabra clave:
- Business Intelligence
Governance
University
Analytics
Decision making
- Rights
- openAccess
- License
- Atribución – No comercial – Compartir igual
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dc.title.spa.fl_str_mv |
Business intelligence governance framework in a university: universidad de la costa case study |
title |
Business intelligence governance framework in a university: universidad de la costa case study |
spellingShingle |
Business intelligence governance framework in a university: universidad de la costa case study Business Intelligence Governance University Analytics Decision making |
title_short |
Business intelligence governance framework in a university: universidad de la costa case study |
title_full |
Business intelligence governance framework in a university: universidad de la costa case study |
title_fullStr |
Business intelligence governance framework in a university: universidad de la costa case study |
title_full_unstemmed |
Business intelligence governance framework in a university: universidad de la costa case study |
title_sort |
Business intelligence governance framework in a university: universidad de la costa case study |
dc.creator.fl_str_mv |
Combita Niño, Harold Arturo Cómbita Niño, Johana Patricia Morales Ortega, Roberto Cesar |
dc.contributor.author.spa.fl_str_mv |
Combita Niño, Harold Arturo Cómbita Niño, Johana Patricia Morales Ortega, Roberto Cesar |
dc.subject.spa.fl_str_mv |
Business Intelligence Governance University Analytics Decision making |
topic |
Business Intelligence Governance University Analytics Decision making |
description |
Universities and companies have decision-making processes that allow to achieve institutional objectives. Currently, data analysis has an important role in generating knowledge, obtaining important patterns and predictions for formulating strategies. This article presents the design of a business intelligence governance framework for the Universidad de la Costa, easily replicable in other institutions. For this purpose, a diagnosis was made to identify the level of maturity in analytics. From this baseline, a model was designed to strengthen organizational culture, infrastructure, data management, data analysis and governance. The proposal contemplates the definition of a governance framework, guiding principles, strategies, policies, processes, decisionmaking body and roles. Therefore, the framework is designed to implement effective controls that ensure the success of business intelligence projects, achieving an alignment of the objectives of the development plan with the analytical vision of the institution. |
publishDate |
2018 |
dc.date.issued.none.fl_str_mv |
2018-11-27 |
dc.date.accessioned.none.fl_str_mv |
2019-01-30T19:28:58Z |
dc.date.available.none.fl_str_mv |
2019-01-30T19:28:58Z |
dc.type.spa.fl_str_mv |
Artículo de revista |
dc.type.coar.fl_str_mv |
http://purl.org/coar/resource_type/c_2df8fbb1 |
dc.type.coar.spa.fl_str_mv |
http://purl.org/coar/resource_type/c_6501 |
dc.type.content.spa.fl_str_mv |
Text |
dc.type.driver.spa.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.redcol.spa.fl_str_mv |
http://purl.org/redcol/resource_type/ART |
dc.type.version.spa.fl_str_mv |
info:eu-repo/semantics/acceptedVersion |
format |
http://purl.org/coar/resource_type/c_6501 |
status_str |
acceptedVersion |
dc.identifier.issn.spa.fl_str_mv |
0268-4012 |
dc.identifier.uri.spa.fl_str_mv |
https://hdl.handle.net/11323/2256 |
dc.identifier.instname.spa.fl_str_mv |
Corporación Universidad de la Costa |
dc.identifier.reponame.spa.fl_str_mv |
REDICUC - Repositorio CUC |
dc.identifier.repourl.spa.fl_str_mv |
https://repositorio.cuc.edu.co/ |
identifier_str_mv |
0268-4012 Corporación Universidad de la Costa REDICUC - Repositorio CUC |
url |
https://hdl.handle.net/11323/2256 https://repositorio.cuc.edu.co/ |
dc.language.iso.none.fl_str_mv |
eng |
language |
eng |
dc.relation.references.spa.fl_str_mv |
Akhmetov, B., Izbassova, N., & Akhmetov, B. (8-10 de Dec de 2012). Developing and Customizing University Business Intelligence Cloud. Cloud Computing Technologies, Applications and Management (ICCCTAM), 2012 International Conference on, 229 - 233. Alnoukari, M. (2009). Using Business Intelligence Solutions for Achieving Organization’s Strategy: Arab International University Case Study. Internetworking Indonesia Journal , 1 (2), 11-15. BOGZA, R., & ZAHARIE, D. (2008). Business intelligence as a competitive differentiator. Automation, Quality and Testing, Robotics, 2008. AQTR 2008. IEEE International Conference on, 146 - 151. Brannon, N. (2010). Business intelligence and e-discovery. Intellectual Property & Technology Law Journal, 22(7), 1. ISO 690 Cano, J. L. (2007). Business Intelligence: Competir Con Información. Banesto, Fundación cultural, 397. Chen, H., Chiang, R. H., & Storey, V. C. (2012). Business intelligence and analytics: From big data to big impact. MIS quarterly, 36(4). Cody, W. F., Kreulen, J. T., Krishna, V., & Spangler, W. S. (2002). The integration of business intelligence and knowledge management. IBM Systems Journal, 41(4), 697- 713. Côrte-Real, N., Neto, M., & Neves, F. (2012). Business Intelligence Maturity Assessment Model for organizations. Information Systems and Technologies (CISTI), 2012 7th Iberian Conference on, 1 - 7. D.Larson, D.Matney. The four components of BI Governance. (2007). http://www.bibestpractices.com/view/4681 Consultado el 22.09.2017. Eckert , B., & Sakiri , R. (2015). Creating a Business Intelligence Competency Center to Accelerate Healthcare Performance Improvement. White Paper, Beacon Partners, Boston. Falakmasir, M., Shahrouz, M., Abolhassani, H., & Habibi, J. (23-25 de June de 2010). Business intelligence in e-learning: (case study on the Iran university of science and technology dataset). Software Engineering and Data Mining (SEDM), 2010 2nd International Conference on, 473 - 477. Fuentes, L ., & Valdivia, R. (2010). INCORPORACIÓN DE ELEMENTOS DE INTELIGENCIA DE NEGOCIOS EN EL PROCESO DE ADMISIÓN Y MATRÍCULA DE UNA UNIVERSIDAD CHILENA. Ingeniare , 18 (3), 383-394. Gartner. (2003). BI Competency Center Is Core to BI Success AV-20-5294. Gartner. Goul, Michael & Santanam, Raghu & St Louis, Robert. (2018). APC forum: Governing the wild west of predictive analytics and business intelligence. MIS Quarterly Executive. 17. 159-185. Halper, F., & Stodder, D. (2014). TDWI Analytics Maturity Model Guide. Retrieved from https://tdwi.org/whitepapers/2014/10/tdwi-analytics-maturity-model-guide/asset.aspx Hemsley‐Brown, J. (2005). Using research to support management decision making within the field of education. Management Decision, 43, 691 - 705. Hostmann, B. (2007). aBI Competency Centers: Bringing Intelligence To the Business. Business Performance Management , 4-10. Hribar Rajteric, I. (2010). OVERVIEW OF BUSINESS INTELLIGENCE MATURITY MODELS. Management: Journal of Contemporary Management Issues, 15, 47-67. Kabakchieva, D. (2015). Business Intelligence Systems for Analyzing University Students Data. Cybernetics and Information Technologies, 15 (1), 104-115. Kim Y. & Cho J. (2017). Data Governance Framework for Big Data Implementation with a Case of Korea. IEEE International Congress on Big Data (BigData Congress), Honolulu 384-391. Matney, D., & Larson, D. (2004, Summer). The four components of BI governance. Business Intelligence Journal, 9, 29-36. Retrieved from https://search.proquest.com/docview/222639258?accountid=41515 Muntean, M., Muntean, C., & Cabau, L. G. (2013). Evaluating business intelligence initiatives with respect to BI governance. St. Louis: Federal Reserve Bank of St Louis. Retrieved from https://search.proquest.com/docview/1699266579?accountid=41515 Narváez, J., Monsalve, C., Bustamante, A., Galvis, E., & Gómez, L. (2013). Solución de inteligencia de negocios para la gestión de recursos educativos y espacios físicos en la Universidad del Magdalena. Paschek, D., Luminosu, C. T., & Draghici, A. (2017). Automated business process management-in times of digital transformation using machine learning or artificial intelligence. Paper presented at the MATEC Web of Conferences, 121 doi:10.1051/matecconf/201712104007 Piedade, M., & Santos, M. (June de 2010). Business Intelligence in Higher Education: Enhancing the teaching-learning process with a SRM system. Information Systems and Technologies (CISTI), 2010 5th Iberian Conference on, 1-5. Regidor, J. (2015). Reflexions sobre el estado del Arte del Business Intelligence. Dialonet, 88-90. Riggins, F. J., & Klamm, B. K. (2017). Data governance case at KrauseMcMahon LLP in an era of self-service BI and big data. Journal of Accounting Education, 38, 23-36. doi:10.1016/j.jaccedu.2016.12.002. Safeer, M., & Zafar, S. (2011). Impact of Business Intelligence Competency Center in Success/ Failure of B.I. Applications. Multitopic Conference (INMIC), 2011 IEEE 14th International , 267 - 272. Salinas La Rosa, A. (2010). Inteligencia de negocio: auditoría y control: prototipo de herramienta de calidad de datos. Madrid: Universidad Carlos III de Madrid. Transforming Data with Intelligence, (s.f.). https://tdwi.org. Consultado el 23.10.2016. Watson, H. J., & Wixom, B. H. (2007). The current state of business intelligence. Computer, 40(9). Yeoh, W., & Popovič, A. (2016). Extending the understanding of critical success factors for implementing business intelligence systems. Journal of the Association for Information Science and Technology, 67(1), 134-147.Niño, H. A. C., & Ortega, R. C. M. (2016). El control interno como elemento importante dentro del sistema de gestión de la innovación: Una propuesta desde la cibernética. Revista ESPACIOS| Vol. 37 (Nº 21) Año 2016. |
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Combita Niño, Harold ArturoCómbita Niño, Johana PatriciaMorales Ortega, Roberto Cesar2019-01-30T19:28:58Z2019-01-30T19:28:58Z2018-11-270268-4012https://hdl.handle.net/11323/2256Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/Universities and companies have decision-making processes that allow to achieve institutional objectives. Currently, data analysis has an important role in generating knowledge, obtaining important patterns and predictions for formulating strategies. This article presents the design of a business intelligence governance framework for the Universidad de la Costa, easily replicable in other institutions. For this purpose, a diagnosis was made to identify the level of maturity in analytics. From this baseline, a model was designed to strengthen organizational culture, infrastructure, data management, data analysis and governance. The proposal contemplates the definition of a governance framework, guiding principles, strategies, policies, processes, decisionmaking body and roles. Therefore, the framework is designed to implement effective controls that ensure the success of business intelligence projects, achieving an alignment of the objectives of the development plan with the analytical vision of the institution.Combita Niño, Harold Arturo-0000-0002-7951-499X-600Cómbita Niño, Johana Patricia-0000-0003-4677-9489-600Morales Ortega, Roberto Cesar-ec775181-8c64-4b76-a4ac-1444380e3d0b-0engInternational Journal of Information ManagementAtribución – No comercial – Compartir igualinfo:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Business IntelligenceGovernanceUniversityAnalyticsDecision makingBusiness intelligence governance framework in a university: universidad de la costa case studyArtículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Textinfo:eu-repo/semantics/articlehttp://purl.org/redcol/resource_type/ARTinfo:eu-repo/semantics/acceptedVersionAkhmetov, B., Izbassova, N., & Akhmetov, B. (8-10 de Dec de 2012). Developing and Customizing University Business Intelligence Cloud. Cloud Computing Technologies, Applications and Management (ICCCTAM), 2012 International Conference on, 229 - 233. Alnoukari, M. (2009). Using Business Intelligence Solutions for Achieving Organization’s Strategy: Arab International University Case Study. Internetworking Indonesia Journal , 1 (2), 11-15. BOGZA, R., & ZAHARIE, D. (2008). Business intelligence as a competitive differentiator. Automation, Quality and Testing, Robotics, 2008. AQTR 2008. IEEE International Conference on, 146 - 151. Brannon, N. (2010). Business intelligence and e-discovery. Intellectual Property & Technology Law Journal, 22(7), 1. ISO 690 Cano, J. L. (2007). Business Intelligence: Competir Con Información. Banesto, Fundación cultural, 397. Chen, H., Chiang, R. H., & Storey, V. C. (2012). Business intelligence and analytics: From big data to big impact. MIS quarterly, 36(4). Cody, W. F., Kreulen, J. T., Krishna, V., & Spangler, W. S. (2002). The integration of business intelligence and knowledge management. IBM Systems Journal, 41(4), 697- 713. Côrte-Real, N., Neto, M., & Neves, F. (2012). Business Intelligence Maturity Assessment Model for organizations. Information Systems and Technologies (CISTI), 2012 7th Iberian Conference on, 1 - 7. D.Larson, D.Matney. The four components of BI Governance. (2007). http://www.bibestpractices.com/view/4681 Consultado el 22.09.2017. Eckert , B., & Sakiri , R. (2015). Creating a Business Intelligence Competency Center to Accelerate Healthcare Performance Improvement. White Paper, Beacon Partners, Boston. Falakmasir, M., Shahrouz, M., Abolhassani, H., & Habibi, J. (23-25 de June de 2010). Business intelligence in e-learning: (case study on the Iran university of science and technology dataset). Software Engineering and Data Mining (SEDM), 2010 2nd International Conference on, 473 - 477. Fuentes, L ., & Valdivia, R. (2010). INCORPORACIÓN DE ELEMENTOS DE INTELIGENCIA DE NEGOCIOS EN EL PROCESO DE ADMISIÓN Y MATRÍCULA DE UNA UNIVERSIDAD CHILENA. Ingeniare , 18 (3), 383-394. Gartner. (2003). BI Competency Center Is Core to BI Success AV-20-5294. Gartner. Goul, Michael & Santanam, Raghu & St Louis, Robert. (2018). APC forum: Governing the wild west of predictive analytics and business intelligence. MIS Quarterly Executive. 17. 159-185. Halper, F., & Stodder, D. (2014). TDWI Analytics Maturity Model Guide. Retrieved from https://tdwi.org/whitepapers/2014/10/tdwi-analytics-maturity-model-guide/asset.aspx Hemsley‐Brown, J. (2005). Using research to support management decision making within the field of education. Management Decision, 43, 691 - 705. Hostmann, B. (2007). aBI Competency Centers: Bringing Intelligence To the Business. Business Performance Management , 4-10. Hribar Rajteric, I. (2010). OVERVIEW OF BUSINESS INTELLIGENCE MATURITY MODELS. Management: Journal of Contemporary Management Issues, 15, 47-67. Kabakchieva, D. (2015). Business Intelligence Systems for Analyzing University Students Data. Cybernetics and Information Technologies, 15 (1), 104-115. Kim Y. & Cho J. (2017). Data Governance Framework for Big Data Implementation with a Case of Korea. IEEE International Congress on Big Data (BigData Congress), Honolulu 384-391. Matney, D., & Larson, D. (2004, Summer). The four components of BI governance. Business Intelligence Journal, 9, 29-36. Retrieved from https://search.proquest.com/docview/222639258?accountid=41515 Muntean, M., Muntean, C., & Cabau, L. G. (2013). Evaluating business intelligence initiatives with respect to BI governance. St. Louis: Federal Reserve Bank of St Louis. Retrieved from https://search.proquest.com/docview/1699266579?accountid=41515 Narváez, J., Monsalve, C., Bustamante, A., Galvis, E., & Gómez, L. (2013). Solución de inteligencia de negocios para la gestión de recursos educativos y espacios físicos en la Universidad del Magdalena. Paschek, D., Luminosu, C. T., & Draghici, A. (2017). Automated business process management-in times of digital transformation using machine learning or artificial intelligence. Paper presented at the MATEC Web of Conferences, 121 doi:10.1051/matecconf/201712104007 Piedade, M., & Santos, M. (June de 2010). Business Intelligence in Higher Education: Enhancing the teaching-learning process with a SRM system. Information Systems and Technologies (CISTI), 2010 5th Iberian Conference on, 1-5. Regidor, J. (2015). Reflexions sobre el estado del Arte del Business Intelligence. Dialonet, 88-90. Riggins, F. J., & Klamm, B. K. (2017). Data governance case at KrauseMcMahon LLP in an era of self-service BI and big data. Journal of Accounting Education, 38, 23-36. doi:10.1016/j.jaccedu.2016.12.002. Safeer, M., & Zafar, S. (2011). Impact of Business Intelligence Competency Center in Success/ Failure of B.I. Applications. Multitopic Conference (INMIC), 2011 IEEE 14th International , 267 - 272. Salinas La Rosa, A. (2010). Inteligencia de negocio: auditoría y control: prototipo de herramienta de calidad de datos. Madrid: Universidad Carlos III de Madrid. Transforming Data with Intelligence, (s.f.). https://tdwi.org. Consultado el 23.10.2016. Watson, H. J., & Wixom, B. H. (2007). The current state of business intelligence. Computer, 40(9). Yeoh, W., & Popovič, A. (2016). Extending the understanding of critical success factors for implementing business intelligence systems. Journal of the Association for Information Science and Technology, 67(1), 134-147.Niño, H. A. C., & Ortega, R. C. M. (2016). El control interno como elemento importante dentro del sistema de gestión de la innovación: Una propuesta desde la cibernética. 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