Purpose The purpose of this paper is to address the need of a reengineering of the software development process in a Mexican technology services company. In general, the main risk faced by small- and medium-sized software developers (SMEs) is the inability to meet delivery times or to adjust to project requirements, whether through lack of follow-up on the critical activities of the development process or through an inadequate distribution of workloads among members of the project team. Design/methodology/approach The methodology used to carry out the reengineering of the software development process is Hammer and Champy, which consists of six stages: introduction to the current situation of the company and the need for change; identification of the business processes; selection of the business process to be redesigned; understanding of the process selected; proposal for reengineering the business process selected; and the results of the comparison between the current situation of the process and the proposed reengineering of the process through the use of Business Process Model and Notation (BPMN 2.0). Findings Based on the results, the paper shows the importance of the analysis and implementation of the reengineering in a software development company. It describes step-by-step how to apply the methodology of Hammer and Champy in a business process through simulated scenarios, using BPMN 2.0. By carrying out the implementation of the proposed reengineering, the company would therefore save 45.12 percent of costs, 41.17 percent of time, and a better distribution of resources, at the same time guaranteeing the satisfaction of its clients. Originality/value The study addresses the current needs of small- and medium-sized software developers, providing a step-by-step guide to the implementation of a process reengineering methodology, performing an analysis and modeling of processes in BPMN 2.0 and providing results through a simulation of the critical process, with the aim to observe the flow of activities and the significant improvements that would be achieved by implementing the reengineering proposal. This simulation schema allows business owners to observe the potential of the changes and to verify the positive impact they would have on the company before beginning to make operational changes in the organization.
Nowadays, the increasing development of Business Intelligence (BI) solutions in organizations, has enabled executives achieve a better understanding of business information for timely and rapid decision-making in a tremendously dynamic market. Although there is an increasing interest in adopting an agile approach to the software development, the emergent need of using agile methodologies in BI solutions is undeniable. This paper discusses the importance of using agile methods in the design and development of data warehouses taking into account the business processes, requirements analysis, and organizational objectives. Thus, we present a case study derived from a real-world business project where the agile methodology Business Event Analysis and Modeling (BEAM) is used to design the data warehouse. The project is based on a billing system with about one million operations on a daily basis with more than 15,000 clients. Finally, the results of this paper include the design of the dimensional model using an agile approach, the construction of the data warehouse through the ETL processes and an interactive dashboard according to the key performance indicators defined by the business decisionmakers.
El objetivo de esta investigación es obtener la información necesaria para identificar la percepción sobre los factores de mayor y menor impacto durante el proceso de valuación de viviendas. Para ello, realizaron diez entrevistas semiestructuradas, las cuales se analizaron mediante Teoría Fundamentada. Los resultados de este trabajo sugieren que tanto los compradores como los vendedores de viviendas perciben a la ubicación, las proporciones y las condiciones de las viviendas como factores determinantes para estimar el valor de éstas. Los resultados de este trabajo pueden ser utilizados para mejorar el diseño de modelos predictivos para la estimación de precios de bienes raíces utilizados en plataformas en línea dedicadas a la compra-venta de bienes raíces. Así mismo, el estudio proporciona las bases necesarias para establecer las variables o parámetros que mejor se adapten al algoritmo predictivo para la estimación de precios de viviendas en la región sur del estado de Sonora, México. Palabras clave: investigación cualitativa; teoría fundamentada; factores determinantes; valuación de viviendas; mercado inmobiliario; compradores de inmuebles
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