Ginkgo Analytics

About Ginkgo Analytics

Categorization and segmentation of customers
Prognosis of delivery dates
Price optimization in real-time
Cognitive analysis of root causes of delays
Optimization of vehicle and asset utilization
Prognosis of asset reliability
Shift and tour optimization
Turnover and market prediction
Analysis of customer lifetime value
Recommendation systems for products or product parameters
Topic trend and product portfolio analysis
Sensitivity analysis for product features and prices
Prognosis of material availability and usage
Automatic quality checks based on machine learning
Identification of errors and deviation Optimization of machine and asset utilization
Real-time monitoring of production pipeline
Prognosis of project delivery dates Optimization of production process (digital twin)
EBIT impact analysis of transformation projects
Sensitivity analysis of value drivers and cost drivers
Anomaly detection of expenses and spendings
Budget monitoring and forecast of targets
Automated matching of candidates to roles
Candidate profiling and segmentation
Prediction of cancellations and absence
Talent management and churn prediction
Expert network and knowledge analysis
HR process and KPI monitoring and trend analysis
Cognitive recommendation system for promotions
Anomaly detection within IT security