Modelo de arquitectura para analítica de datos descriptiva como soporte a la gestión y toma de decisiones a nivel comercial en PYMES colombianas

Abstract

In today's competitive business environment, small and medium-sized enterprises (SMEs) in Colombia faces constant challenges to stay relevant and achieve success commercial. One of the most critical aspects for the growth and sustainability of these organization is the ability to make informed and agile decisions that drive their performance and competitiveness in the market. The goal of this architecture model is to provide structured and effective guidance to design and implement descriptive data analytics solutions in SMEs Colombian. Based on solid principles of enterprise architecture and adapted to the specific needs and resources of SMEs, this model offers a comprehensive methodology to make the most of the potential of data in the business context. Throughout this paper, we will explore the key components of this model of architecture, from the definition of the objectives and scope of the project to the Implementation and ongoing management of the data analytics solution. In addition, they will present best practices and important considerations to ensure project success, and Maximize the impact of data analytics on management and decision-making at the global level. commercial in Colombian SMEs. In short, this architecture model provides a clear and practical roadmap for Colombian SMEs looking to harness the transformative power of data analytics descriptive in its pursuit of business excellence and sustainable growth.