TY - GEN
T1 - Technological-organizational maturity model for the successful implementation of Data Governance initiatives
AU - Ampuero, Libusi
AU - Alfaro, Rosa
AU - Raymundo, Carlos
AU - Dominguez, Francisco
PY - 2017
Y1 - 2017
N2 - Data management has undergone several changes over the last few years, leaving behind the days when it was necessary to convince people about the value of data in their organizations. Over the years, the volume and expense of data management have been increasing at a high rate. Today, organizations need to have strategic management that allows them to transform data collected from various sources with clear and accurate information. So, that they can dispose of it when they need it. The motivation of the present study is to generate a model of measurement of the level of organizational maturity that allows them to ensure the success of a Data Governance initiative. In this way ensure that all the information of the organization meets the demands of the business. It is for this reason that an organizational maturity model is proposed for the success of Data Governance initiatives based on 11 categories taking into consideration the analysis of the most widespread and adopted frameworks by industry (Kalido, Dataflux, etc.) in order to know the level of maturity and the steps to be taken at each of these levels. In this way ensure the success of a Data Governance initiative.
AB - Data management has undergone several changes over the last few years, leaving behind the days when it was necessary to convince people about the value of data in their organizations. Over the years, the volume and expense of data management have been increasing at a high rate. Today, organizations need to have strategic management that allows them to transform data collected from various sources with clear and accurate information. So, that they can dispose of it when they need it. The motivation of the present study is to generate a model of measurement of the level of organizational maturity that allows them to ensure the success of a Data Governance initiative. In this way ensure that all the information of the organization meets the demands of the business. It is for this reason that an organizational maturity model is proposed for the success of Data Governance initiatives based on 11 categories taking into consideration the analysis of the most widespread and adopted frameworks by industry (Kalido, Dataflux, etc.) in order to know the level of maturity and the steps to be taken at each of these levels. In this way ensure the success of a Data Governance initiative.
KW - Data
KW - Data governance
KW - Framework
KW - Maturity model
KW - Technological trends
UR - https://www.scopus.com/pages/publications/85034662083
M3 - Contribución a la conferencia
AN - SCOPUS:85034662083
T3 - CICIC 2017 - Septima Conferencia Iberoamericana de Complejidad, Informatica y Cibernetica, Memorias
SP - 93
EP - 99
BT - CICIC 2017 - Septima Conferencia Iberoamericana de Complejidad, Informatica y Cibernetica, Memorias
A2 - Callaos, Nagib C.
A2 - Tremante, Andres
A2 - Sanchez, Belkis
A2 - Castro, Sebastiao H.
A2 - Guimaraes, Alexandre
PB - International Institute of Informatics and Systemics, IIIS
T2 - Septima Conferencia Iberoamericana de Complejidad, Informatica y Cibernetica, CICIC 2017 - 7th Ibero-American Conference on Complexity, Informatics and Cybernetics, CICIC 2017
Y2 - 21 March 2017 through 24 March 2017
ER -