Description: The analytics workflow refers to a structured sequence of processes that enable the collection, processing, and analysis of data with the aim of extracting valuable information and making informed decisions. This workflow encompasses various stages, from data acquisition to result visualization, and may include data cleaning, transformation, modeling, and interpretation of results. In the context of analytics, the analytics workflow is adapted to allow different teams within an organization to manage their own data domains autonomously, fostering collaboration and shared responsibility. This means that each team can develop its own analytics workflow, aligned with its specific needs, while maintaining overall coherence in the data architecture. The relevance of this approach lies in its ability to scale and adapt to the changing needs of organizations, enabling more agile and data-driven decision-making. Furthermore, the analytics workflow relies on tools and technologies that facilitate automation and data integration, optimizing the time and resources dedicated to analytics.
