Which of the following is considered a quantitative forecasting technique?

Time series analysis is indeed a quantitative forecasting technique because it relies on historical data to predict future values. This method involves analyzing data points collected or recorded at specific time intervals, allowing businesses to identify trends, seasonal patterns, and cycles. By applying statistical techniques and mathematical models to this historical data, organizations can make informed predictions based on past performance.

In contrast, brainstorming sessions and market surveys do not involve quantitative data analysis; they rely more on qualitative insights and opinions, which can lead to subjective forecasts. The Delphi method also focuses on gathering expert opinions through rounds of questionnaires rather than using numerical data to create forecasts. Thus, time series analysis stands out as a method grounded in quantitative analysis, leveraging historical data to enhance accuracy in forecasting.