preskriptioanalytiikka
Preskriptioanalytiikka, also known as prescriptive analytics, is a type of advanced data analytics that goes beyond understanding past events (descriptive analytics) and predicting future outcomes (predictive analytics). Its primary goal is to recommend specific actions or decisions that will lead to desired results or mitigate risks. Preskriptioanalytiikka uses a combination of techniques, including optimization, simulation, and machine learning, to analyze data and generate actionable insights.
The process typically involves identifying a problem or objective, gathering relevant data, applying analytical models to
Key components of preskriptioanalytiikka include decision rules, business rules, algorithms, and workflows. It often leverages AI