analytics frameworks

Analytics frameworks are structured methods used to analyze data and extract meaningful insights. They provide a systematic approach to collecting, processing, and interpreting information. Common frameworks include the CRISP-DM (Cross-Industry Standard Process for Data Mining) and the DDA (Data-Driven Approach), which outline steps like understanding the problem, preparing data, analyzing it, and communicating results. By following these frameworks, organizations can make informed decisions based on data rather than intuition, leading to improved strategies and outcomes in various fields, including business, healthcare, and education.