Given a hypothetical time-series dataset representing daily sales for a global retail chain over 5 years, write a Python script using pandas and statsmodels to perform a seasonal decomposition. Explain how you would detect anomalies and forecast the next 6 months of sales, taking into account holiday effects and trend components.