Proge AI DNA

Proge AI DNA is a cutting-edge solution designed to transform data into actionable insights, driving innovation and operational excellence. Leveraging deep expertise and AI Lab support, Proge AI DNA enhances AI uses cases for every customer. This solution utilizes the potential of Microsoft Fabric and Azure services to modernize the full data infrastructure of customers, moving and cleaning data to Fabric to create impressive Power BI reports and using AI for semantic analysis.

This solution includes Copilot!

Proven

Capabilities

Demonstrated success in delivering solutions that transform data into actionable insights

Innovation & Operational Excellence

Drives innovation and operational excellence through advanced AI and data analytics

Why choose Proge AI DNA?

Deep

Expertise

Leverages deep expertise and AI Lab support to enhance successful AI implementation

Microsoft Fabric

& Azure Integration

Utilizes Microsoft Fabric and Azure services to modernize
data infrastructures

Key benefits

Enhanced

Data Insights

Transforms raw data into actionable insights, enabling better decision-making

Operational

Efficiency

Streamlines processes to improve operational efficiency and reduce costs

Scalable

Solutions

Provides scalable solutions that grow with your business needs

Impressive Power BI Reports

Creates visually appealing and informative Power BI reports

AI-Driven Semantic Analysis

Uses AI for advanced semantic analysis to uncover hidden patterns and trends

Who benefits

Business Intelligence Teams

Data Analysts

Technical Managers

IT Specialists

Cloud Operations Teams

Industries that benefit

Telco & IT

Finance & Insurance

Healthcare & Life Science

Manufacturing

& Engineering

Consulting & Professional Services

Public Administration

Energy

Travel & Transportation

Retail & Customer Service

How it works

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.