Data Engineering & Analytics
We’re modernizing their data ecosystem by migrating legacy datasets to a scalable Azure architecture, enabling role-based insights and predictive analytics across the organization.
the client
A leading Ag-Tech company in the United States specialized in Crop Protection Products, Precision Ag Services and Software & more.
Industry
Precision Agriculture, Agri Retailers
Engagement Details
- Service Type: Product Development Teams
- Model: Offshore
Technology Stack
- Oracle EBS
- Azure(Cloud)
Business Needs
- Embrace Data Driven decision across organization.
- Data Insights for every role.(~2K Users)
Challenges
- High Data Latency
- Multiple Data Silos
- Multi-year Data Analytics (~20+years of Data)
- Lack of Predictive Analytics.
Services
- Revised architecture in Azure Cloud & implemented a scalable cloud native architecture
- Improved data visualization & reporting using PowerBI with multi device support
- Integrated and moved 20 years of historical data into a Data lake for detailed analytics.
Result
- Well curated data without any silos.
- Migrated 20 years of data from Oracle to Azure Data Lake.
- Implemented detailed drill down reports & visualizations.
- Predictive analytics implemented with Row level security on data for roles.