Project-based Services
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From ERP migrations to Fabric implementations, data warehouse modernization and beyond, our project-based engagements are clearly defined for timely, on-budget execution by an experienced team of solution architects. Explore the details of past project-based service engagements to understand our processes and steps involved when collaborating with OmniData on technical projects.
It highlights the collaborative approach, attention to detail, and commitment to delivering a high-quality solution that meets the client's needs. While projects vary in size and scope, a solution approach is designed to accommodate core workstreams like the example below:
Fabric Environment Deployment and Configuration:
Outcomes:
- A complete understanding of the as-is environment and a logical design of the current-state architecture.
- A full understanding of the currently deployed Azure services and all required services that need to be deployed to support the solution architecture.
- A fully deployed and configured Fabric Development and Production environment with DevOps configured to manage Continues Deployment and Continues Integration (CI/CD) between the environments.
- ERP Data Ingestion:
- Data Integration
- Serving Layer Design and Build
- Fabric Report Design and Build
- Data Validation
- Technical User Acceptance Testing
- ERP Data Ingestion:
Outcomes:
- Data ingestion from source to RAW layer for the systems will be configured. This will allow data to flow seamlessly from the ERP system to OneLake, on a regular basis.
- All the relevant technical components to ingest the data from the source systems will be configured and tested.
- Attainment to Schedule Data Model Design and Build
- Attainment to Schedule Report Build
- User Acceptance Testing
- Go-live and Hypercare
Project Summary Example:
One of our clients, a food processing / manufacturer, wanted to enhance their data reporting and analytics capabilities by implementing a modern, automated system to gather data from their ERP system and provide this data through various reporting models, dashboards, and reports.
This project was designed to create a more efficient and effective data environment that would support better decision-making and strategic planning.
Steps OmniData Performed:
- Deployment and Configuration of Microsoft Fabric: OmniData worked closely with the client to deploy and configure the Microsoft Fabric platform. This involved setting up a development, testing, and production environment to ensure a smooth and efficient data management process.
- ERP Data Ingestion: The team designed a data ingestion pipeline to securely and efficiently gather data from the client’s ERP system. This included validating, transforming, and enriching the data to meet business needs
- Data Integration and Transformation: OmniData transformed the ingested data from a raw state to a curated state, making it suitable for reporting and analysis. This involved building a series of data transformations to restructure and enrich the data.
- Building Reporting Models and Dashboards: The team created a series of reports and dashboards based on the transformed data. These reports were designed to be user-friendly, visually appealing, and informative, providing the client with valuable insights.
- Data Validation: A detailed data validation process was conducted to ensure the accuracy and consistency of the data. This step was crucial to maintain data quality and reliability.
- User Acceptance Testing (UAT): End users tested the functionality, usability, and performance of the solution to ensure it met their requirements and expectations. Feedback was collected and any issues were resolved before moving to production.
- Go-Live and Hypercare: The solution was deployed to the production environment, and OmniData provided hypercare support to ensure a smooth transition. This included monitoring system performance, resolving issues, and providing training and guidance to end users.