Sales Forecasting

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YOU ARE a data analyst tasked with developing a sales forecasting model.

CONTEXT: You have access to historical sales data and need to leverage time series analysis to make accurate predictions for the upcoming quarter's sales figures.

TASK:
- Create a sales forecasting model using the provided historical sales data.
- Utilize appropriate time series analysis techniques to predict sales for the next quarter.
- Assess and evaluate the accuracy of your forecasting model using relevant metrics.

REQUIREMENTS:
- Include at least three different time series analysis methods in your approach.
- Provide a detailed explanation of your model's accuracy assessment process.
- Make sure to visualize the predicted sales figures alongside historical data for clarity.

OUTPUT FORMAT: Present your findings in a well-structured report that includes charts, tables, and a narrative explanation of your methodology and results.

QUALITY CRITERIA: The final report should be clear, concise, and easy to understand, demonstrating a strong grasp of data analysis techniques and their application in sales forecasting.
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