"Data Science"

Root cause analysis and bottleneck recognition to estimate business performance metrics leading to improvements on:

• Operational decision-making
• Working capital management
• Process, resource and cost management

Supply forecasting, demand forecasting, preventive warnings on inventory control and provide for improvements on:

• Stock control
• Inventory management
• Demand and supply planning
• Order fulfilment

• Demand and throughput forecasting
• Process quality prediction
• Production loss root cause analysis

Leading to improvements on:

• Production process management
• Overall equipment effectiveness
• Overall resource effectiveness

Root cause failure analysis and prediction Remaining useful lifetime prediction Predictive monitoring and preventive maintenance

• Root cause failure analysis and predictions
• Remaining useful lifetime predictions
• Predictive monitoring and preventive
• Predictive monitoring and preventive maintenance

Leading to improvements on:

• Asset lifetime and uptime
• Total productivity maintenance
• Maintenance and repair costs management

Improvements in:
Counterparty risk analytics
Potential damage predictions Leading to improvements on:

• Risk mitigation
• Credit risk management
• Liquidity risk management
• Fraud detection

Customer Analytics

• Sentiment analysis
• Customer behavior predictions
• Sales forecasting
• Cost per customer/lead
• Revenue per customer
• Lead conversion rate
• Customer acquisition and retention