Our Case Studies

Proven Success: Explore Our Customer Success Stories

_{CASE STUDY 1:}

Data Foundation & Reporting on MS Fabric

^Client:

American privately held optical equipment company that specializes in the building blocks for laser and fiber optic systems

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^Solution:

Data Platform Assessment & Roadmap for current & future needs
Enabling Synapse and reports
Data Foundation and Platform Foundation Services
Self Service Reporting with Power BI & Copilot AI
Unified Data lake, Medallion Architecture, Data Quality, Data Governance

^Challenges:

Reporting Performance & scalability -SSRS reports not receiving latest data due to unset pipelines from D365.
Need for a unified modern Data Foundation
Lack of classification and maintenance of complex data models.
Dependence on outdated SSAS cubes, with 75% still used.
Third-party data mis-matches, revision demands and moving away from SSAS cubes.
Workplace silos with teams across globe for report consumption.

^Benefits:

Cost Efficiency, Scalable to handle large volumes of data and concurrent users without performance degradation.
Realtime Analytics enabled timely decision-making based on the latest information.
Enhanced Visualization and Interactivity:
Streamlined Data Workflow

_{CASE STUDY 2:}

Fabric Data Foundation & Data Integration

^Client:

A largest privately-owned manufacturer of fireplaces, grills, and gas furnaces in North America. Each division comes with a research & development department dedicated to engineering new products.

^Solution:

Transformation partner – ERP, Cloud Data and Analytics using Azure Synapse, Data Migration from On-Prem, Integration with IBM planning Analytics using Azure Functions
Breadth of functional areas: Sales, Finance, Planning, Inventory, SCM etc.
Solution Architecture, Implementation and support
Value Delivery, Cloud Cost Management
Joint Program : Assessment, Setup, Training, Integration Process on going Build, Deploy and Management

^Challenges:

Azure Synapse Analytics Development from Azure Data Lake export from D365
Integrate IBM Planning Analytics with D365

^Benefits:

Information : Accuracy, Details
Modern Data Foundation : BDL, Cloud DW (Synapse), Bigdata and Best Practices
Integration: Complex Pipeline, Multiple design patterns (Batch, NRT) - Timeline delivery

_{CASE STUDY 3:}

Fabric Data Foundation for Product Health Reporting

^Client:

A world’s Largest Carpet manufacturers in US Product portfolio, Digital Transformation, Growth

^{Business Needs:}

Azure Synapse Analytics Development from Azure Data Lake export from D365
Integrate IBM Planning Analytics with D365

^Solution:

Base Solution and Foundation to drive high-order value over time
Solution Architecture, Implementation and support
Value Delivery, Cloud Cost Management
Modern Data Foundation : BDL, Cloud DW (Databricks), Bigdata and Best Practices
Integration: Ingestion Framework, Complex Pipeline, Multiple design patterns (Batch, NRT) - Timeline delivery
Reporting Services: Dimensional Model, Host of reports – Self-service, details
Thought-leadership (WIP): Product health Dashboard, Contribution (Sales forecasting, Consumption Analytics)