"Optimize Your Business Operations with AWS Forecast: Fast-Track Consulting and Implementation Services"

Scope:

Conduct a review of the organization's business objectives and data assets to identify areas where AWS Forecast can provide the most value. Develop a basic forecasting model using AWS Forecast and other relevant AWS services. Plan:

1. Discovery (2-3 days)

• Conduct a brief discovery session with key stakeholders to understand the organization's business objectives, challenges, and data assets.
• Review existing data sources and processes to identify areas where AWS Forecast can provide the most value.
• Define the scope of the AWS Forecast consulting and implementation service.

1. Data Preparation (1-2 days)

• Prepare a sample dataset for analysis using AWS services such as S3, Glue, and Athena.
• Perform basic exploratory data analysis (EDA) to identify patterns and trends in the data.
• Cleanse and transform the sample data to prepare it for modeling.

1. Model Development (2-3 days)

• Develop a basic forecasting model using AWS Forecast and other relevant AWS services.
• Review the model with key stakeholders to ensure alignment and gather feedback.

1. Model Deployment and Monitoring (1-2 days)

• Deploy the basic forecasting model to AWS infrastructure, ensuring optimal performance and scalability.
• Develop monitoring and alerting mechanisms to detect and address issues as they arise.

The timeline for this project is approximately 1 week, providing a fast-track consulting and implementation service for organizations that need to quickly gain insights from their data. The focus of this service is on developing a basic forecasting model that can be used as a starting point for more advanced forecasting initiatives.