Traditional Analytics
Traditional Analytics refers to the established methods and techniques for analyzing historical data to gain insights, often using descriptive statistics, reporting, and basic data visualization. It focuses on understanding what has happened in the past through structured data from sources like databases and spreadsheets, typically involving manual or semi-automated processes. This approach is foundational for business intelligence, performance tracking, and decision-making based on retrospective data.
Developers should learn Traditional Analytics when working on projects that require historical data analysis, such as generating business reports, monitoring key performance indicators (KPIs), or supporting legacy systems in industries like finance, retail, or healthcare. It is essential for roles involving data-driven decision support, as it provides a baseline for understanding trends and patterns before advancing to more complex analytics like predictive or prescriptive methods.