Data & Analytics Modernization

Align your data initiatives with business goals and future needs. OmniData’s Data & analytics modernization offer a comprehensive service offering, from data strategy and planning, data warehouse modernization, and enabling next-gen analytics, leveraging Microsoft Azure. We'll expertly assess your environments, carefully craft your future data estate and strategically structure your migration plan ensuring it meets your needs for performance, reliability, and scalability. Our data and analytics modernization is designed to help customers get started with or extend their use of Azure by providing the expertise, capabilities, and know-how they may lack in-house or need to augment.

Here’s a summary of our services and what customers can expect from an engagement with OmniData:

1. Data Warehouse Modernization: We simplify the process of upgrading or redesigning your existing data warehousing infrastructure with expert Modernization Assessments, Planning, and seamless Migrations to Azure, Databricks, or Fabric, ensuring a smooth transition and optimal performance.

2. Analytics Environment Modernization: Enhance your existing tools and processes for self-service analytics and reporting with custom builds or leverage our pre-built OmniAnalytics products for Dynamics 365 environments. Utilize the power of Microsoft Fabric’s modern analytics reporting environment.

3. Data Strategy & Planning Modernization: Align your data initiatives with business goals and future needs, ensuring your data drives success. This includes business alignment, data governance, and future-proofing.

4. Data Estate Migrations to Azure: We handle the entire migration process, from assessment and planning to execution, ensuring your data estate is modernized and optimized for Azure.

5. Data Team as a Service (DTaaS): Our delivery frameworks ensure smooth operations with proactive management, responsive support, and detailed reporting, freeing your IT team to focus on strategic growth initiatives.

EXAMPLE IMPLEMENTATION AGENDA:

1. Initial Assessment:

• Understand customer requirements and current capabilities.
• Identify key areas for data and analytics modernization.

2. Planning and Strategy:

• Develop a detailed project plan and timeline.
• Define success metrics and key performance indicators (KPIs).

3. Design and Development:

• Design data models and solutions tailored to customer needs.
• Develop and test data models using Azure tools and frameworks.

4. Implementation:

• Deploy data models and solutions in the customer’s Azure environment.
• Integrate data solutions with existing systems and workflows.

5. Optimization and Monitoring:

• Optimize data models for performance and accuracy.
• Set up monitoring and maintenance processes to ensure continuous improvement.

6. Training and Support:

• Provide training sessions for customer teams on using and maintaining data solutions.
• Offer ongoing support and troubleshooting as needed.

EXPECTED OUTCOMES: Engineering Changes:

• Implementation of data models and solutions in the customer’s Azure environment.
• Integration of data capabilities with existing systems and workflows.

Technical & Other Artifacts:

• Custom data models and algorithms.
• Detailed documentation of data solutions and implementation processes.
• Training materials and user guides.
• Performance reports and success metrics.
• Continuous improvement plans and recommendations for future data initiatives.

By engaging with OmniData, customers can expect to enhance their data and analytics capabilities, achieve their strategic goals, and drive innovation using Microsoft Azure.

This is a 40-hour service engagement. Actual outcomes and pricing will vary based on project scope.