Áreas de aplicación de big data e inteligencia de negocios

Big data, es una tecnología que se refiere a grandes conjuntos de datos complejos tanto estructurados como no estructurados, que los sistemas de procesamiento convencionales no pueden gestionar. Por otro lado, la inteligencia de negocios busca apoyar el proceso de la toma de decisiones a través de la extracción de conocimiento de los datos almacenados. Estas dos áreas del conocimiento están siendo muy importantes para la solución de problemas que se presentan en diferentes contextos del conocimiento en donde tengan como insumo los datos y/o se busque obtener información relevante para la toma de decisiones.Investigación financiada por Ministerio de Ciencia, Innovación y Universidades de España (PRE2018-086544) y cofinanciada por FSE.Postprint (published version

Challenges faced by the adoption of big data in the Dominican Republic construction industry: an empirical study

© (2021) The Authors. Published by CIB. This is an open access article available under a Creative Commons licence. The published version can be accessed at the following link on the publisher’s website: https://www.itcon.org/paper/2021/44The adoption of Big Data (BD) in the construction industry has been identified as a possible solution to the demand of the current needs of projects, but the integration of this technology has proven to be a challenge specially in industries such as construction that are not technological driven. The understanding of the key elements for the BD adoption has become the focus of many industries that seek to exploit the benefits offered by this technology. Therefore, this paper aims to explore the challenges faced by the adoption of BD in the Dominican Republic (DR) construction industry. To identify these challenges qualitative research was undertaken due to the paucity of scientific data. Twenty-one individuals representing 19 companies who have great impact in the DR construction sector were interviewed. From the analysis six main challenges were identified. They are: lack BD awareness, high cost of investment, resistance to change, lack of government support and regulation, lack of technological expertise, and security concerns of BD. The challenges identified in this study, will serve to help companies better plan their technology adoption process, mainly considering aspects such as the need to tackle the lack of awareness by disseminating and promoting the concept of BD which will not only generate a better understanding of technology by making sure that present and future professionals understand the technology and its benefits. This study provides insight in the challenges to overcome for a successful adoption of BD technology, which would help companies to prepare for a future adoption

Adoption of the big data concept in the construction industry

A thesis submitted in partial fulfilment of the requirements of the University of Wolverhampton for the degree of Doctor of Philosophy.The Big Data (BD) boom has increased exponentially in recent years, reaching even the most traditional industries. In construction, the migration towards sustainability and new technologies that produce user and environmentally friendly projects is now a requirement in almost every country. Meanwhile, BD technology has become a possible solution to the challenges that the industry faces nowadays with some authors naming this technology as the future of construction. However, despite this reception, studies that explain in detail the factors that favour the adoption of BD are scarce or non-existent and the adoption itself has proven to be a challenge, especially in industries such as construction that are not technology driven. Understanding the critical factors that influence BD adoption has become the focus of many industries that seek to exploit the benefits offered by this technology. Therefore, the aim of this research is to explore the adoption of BD in the construction industry. First, the awareness of the Dominican Republic’s construction industry on the BD concept, its characteristics, and benefits was assessed. The key drivers, strategies, and challenges regarding the adoption of BD in the industry were also investigated. A qualitative method was selected to identify these strategies due to the lack of maturity and the scarcity of sources that address the subject. Semi-structured interviews were selected as the data collection tool, and content and thematic analysis were chosen to acquire an in-depth knowledge of the interviews. Endsley’s model of situational awareness was adapted to provide a better understanding of the industry’s awareness of BD. The sampling technique adopted was non-probabilistic due to some of the specific criteria identified during the secondary data collection process. In the data collection process, 21 interviews were conducted with representatives of 19 organisations with an undoubted presence in the construction market of the Dominican Republic. The results showed that there is an overall basic level of awareness about BD in the construction industry of the Dominican Republic. Moreover, nine key drivers for BD adoption were identified and grouped into internal and external drivers. Additionally, four main strategies or central policies for adopting the technology and seven main challenges were identified. These findings were used to develop an organisation readiness assessment tool and a strategic framework for BD adoption in the construction industry. This study concluded that new technologies such as Big Data (BD) require a change in the industry's culture and the adoption of digital approaches to be fully implemented. The findings of this research provide valuable insights that can help the construction industry adopt BD technology, thus accessing the short and long-term benefits that this technology offers.Government of the Dominican Republic through the Ministry of Higher Education, Science and Technology