Description: The term ‘multisource’ refers to the collection of data from various sources, allowing for a more comprehensive and enriched view of information. In the context of data analysis and visualization, the ability to integrate data from multiple origins is fundamental for effective analysis and decision-making. This practice not only enhances data quality but also facilitates informed decision-making by providing a broader perspective. Sources can include databases, CSV files, APIs, cloud services, and more. The integration of multisource data allows organizations to combine structured and unstructured information, resulting in deeper and more meaningful analyses. Additionally, the use of ETL (Extract, Transform, Load) technologies is crucial for preparing this data before analysis, ensuring that it is consistent and in the appropriate format. In summary, the multisource approach is essential in today’s data-driven world, where the diversity of sources can offer valuable insights and improve business competitiveness.
