- Email workflow.
- No single consistent source of data.
- Data stored in many disparate enterprise systems.
- Poor data quality.
- Inconsistent & inaccurate analysis & outcome prediction.
- Human-centric analysis & bias.
- Loss of human capital.
- Decision fatigue & delivery volatility.
- Unnecessary management effort.
Key Requirements for SQA
- Provision of Enterprise data normalisation & ETL engine
- Provision of Full real-time visualisation & analytics capability for any data source
- Provision of Natural language interface (voice and text)
Provision of Decision recommendation engine
