Time-Series Data Analysis

Time-series data analysis involves examining data points collected or recorded at specific time intervals. It aims to identify trends, patterns, and seasonal variations over time. For example, businesses might analyze monthly sales data to forecast future performance or detect cycles. This type of analysis helps in making informed decisions based on historical data, allowing organizations to anticipate changes, manage resources effectively, and optimize operations. In essence, it turns past performance into insights that guide future actions.