Assessment Phase:

• Evaluate the current data landscape and readiness for cloud migration.

• Identify key data sources and dependencies.

• Determine the total cost of ownership (TCO) and potential benefits of migration.

Environment Preparation Phase:

• Configure Azure basic services and design landing zones.

• Plan connectivity between the Data Center and Azure tenant.

• Set up necessary infrastructure to support data movement and reporting.

Data Synchronization Phase:

• Move and clean data to Microsoft Fabric.

• Utilize Azure services for seamless data integration.

• Ensure data is prepared for reporting and analysis in Power BI.

Data Transformation and Reporting Phase:

• Transform raw data into structured formats suitable for analysis.

• Create visually appealing and informative Power BI reports.

• Use AI-driven semantic analysis to uncover hidden patterns and trends.

Testing & Validation Phase:

• Test and validate data integrity and accuracy in the new environment.

• Ensure that Power BI reports are functioning as expected.

• Conduct user acceptance testing

Deployment & Integration:

• Deploy the final solution, including Power BI reports and dashboards.

• Integrate with existing business processes and systems.

• Provide training and support to ensure smooth adoption and usage.

Ongoing Support & Optimization:

• Monitor the performance of Power BI reports and Azure services.

• Continuously optimize data processes and reporting capabilities.

• Provide ongoing support to address any issues and implement enhancements.