Editing Data Analysis (section)

==Usage Types==
===Descriptive Analysis===
Descriptive Analysis, as the name implies, gives a "descriptive" insight into the past. It helps a Digital Marketing Agency understand past behaviors, and analyze how they might influence future outcomes. The techniques include data aggregation and mining.
===Diagnostic Analysis===
Diagnostic Analysis involves a deep dive into past performance to understand the cause of such performance. It involves techniques such as drill-down, data discovery, data mining and correlations.
===Predictive Analysis===
Predictive Analysis uses statistical models and forecasting techniques to understand the future. It can be particularly useful in a Digital Marketing Agency for predicting trends, customer behaviors and sales patterns, helping to drive effective marketing strategies.
===Prescriptive Analysis===
Prescriptive Analysis uses optimization and simulation algorithms to advise on possible outcomes. In Digital Marketing, it could be useful in decision-making by providing recommendations based on a predictive analysis.
===Real-Time Analysis===
Real-Time Analysis allows businesses to make immediate decisions by processing data as soon as it enters the system. In a Digital Marketing Agency, real-time analysis can be beneficial for prompt response and adaptation to customer feedback and market trends.