Saltar al contenido
República del Perú · Observatorio de la producción científica universitaria
OApol.org Observatorio de Inteligencia Científica Universitaria del Perú
OApol.org
Inicio Universidades Publicaciones Investigadores
Repositorios
Tesis y trabajos académicosRevistas
Indicadores
Ranking trimestralRanking por carreraObjetivos de Desarrollo SostenibleReporte OCDERed neuronal 3D
Acerca
MetodologíaPrivacidad

Datamart for the analysis of information in the sales process of the company WC HVAC Engineering

Castillo-Cordero L.; Contreras-Chihuán M.; Meneses-Claudio B. · Data and Metadata (2024) · DOI: 10.56294/dm2024184

Resumen

Introduction: information has become a crucial asset for companies in decision making and performance evaluation. Information technologies, such as Business Intelligence, allow data to be converted into relevant information. The implementation of a Datamart, a specialized database, stands out as a solution to analyze specific data from a business area. Objective: the main objective is to determine how the implementation of a Datamart affects data analysis in the sales area of the company. Method: a bibliographic review of various sources was carried out using the PICO keywords. In addition, filters were applied to limit the search to relevant articles published in the last 5 years in Spanish or English. Then, 31 relevant documents that highlighted the implementation of Datamarts in the sales area were evaluated. Results: predominant Datamart development methods were identified, such as the Kimball and Hefesto methodologies. Likewise, effectiveness was measured through indicators such as processing time, report generation, user satisfaction and availability of information. Conclusions: in conclusion, a well-implemented Datamart can be a key tool to improve data management and analysis in the sales area of a company.

Instituciones: Universidad Tecnológica del Perú