Systematically integrate data from multiple sources
Build scalable data architecture for present & future
Secure & protect data, provide role driven access.

- Automation of manual data processing
- Capture data from machines & equipments
- Interfaces between multiple data silos
- Build end-to-end data pipelines
- Unify data from multiple sources
- Data transformation from multiple formats
- Data cleansing, verification & validation
- Master data and transaction data integrity
- Build data marts and data warehouse
- Developing ETL processes & APIs
- Right structuring data for efficient analysis
- Data indexing and performance tuning

Blend analytics modeling and domain knowledge
Use artificial intelligence and machine learning
Optimize speed to provide on-time insights

- Data modeling to interlink data from multiple sources
- Logical data classification for multiple business users
- Building algorithms to define performance matrices
- Ranking, scaling and benchmarking scale variables
- Mapping people, process & product planning
- Mapping competency framework for multiple roles
- Prescriptive insights using Machine Learning
- Deep learning to define decision hierarchies
- Artificial Intelligence to track opportunities & risks
- Logical and physical data security & access control