Data Engineering & Analytics
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.
Results
- 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.