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Industry specific insights

Logistics industry insights
  • Categorization and segmentation of customers
  • Priorization of orders
  • 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

 

Retail industry insights
  • Turnover and market prediction
  • Customer segmentation
  • Analysis of customer lifetime value
  • Recommendation systems for products or product parameters
  • Topic trend and product portfolio analysis
  • Product insights analysis
  • Sentiment analysis
  • Clickpath analysis
  • Social network insights
  • Delivery forecast
  • Return probability
  • Sensitivity analysis for product features and prices
Production and manufacturing specific insights
  • Turnover and market prediction
  • 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)
Finance and controlling insights
  • Fraud detection
  • Customer rating
  • Risk rating
  • EBIT impact analysis of transformation projects
  • Sensitivity analysis of value drivers and cost drivers
  • Fact based decisions
  • Anomaly detection of expenses and spendings
  • Budget monitoring and forecast of targets

 

Human resources insights
  • 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
  • Workforce sentiment analysis
  • Social network analysis
  • HR process and KPI monitoring and trend analysis
  • Cognitive recommendation system for promotions
IT insights
  • Anomaly detection within IT security
  • Monitoring of IT infrastructure and trend analysis
  • Impact and correlation analysis of IT services
  • Prognosis of demand and supply
  • Automated scaling of IT services
  • Service utilization and optimization
  • Prediction of infrastructure and IT service failures and downtime
  • IT cost modelling and prognosis
  • Measuring of service quality and customer satisfaction
Finance and controlling insights
IT insights

Our methodology

  • Ideation

    With our end-to-end business expertise and understanding we identify relevant ideas with high impact on the organization together with business representatives based on existing and future data.

  • Prototype

    We clean, prepare and transform the data and develop a working prototype for your data analytics use case. Iteratively we improve the data quality, the model parameters and evaluate the results until.

  • Implementation

    Together with you we review and choose a target architecture for the implementation. We drive the insights though the company until the business processes are changed.

Our management team

  • Steffen Maas
    Steffen Maas Founder & CEO

    Founder and managing director. 10 years experience in digitization of companies meets passion for data and analytics.

  • Dr. Julian Pott
    Dr. Julian Pott Senior Data Scientist

    PhD in Mathematics. Expert in applying graphs to business problems and transforming businesses to data driven companies.

  • Dr. Johannes Wagner
    Dr. Johannes Wagner Senior Data Scientist

    Senior data scientist and physicist with experiences in big data modeling for life science and material science research

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Ginkgo Analytics has been founded in 2017 as spin off of Ginkgo Management Consulting. We are independent and specialized on data analytics, big data,  machine learning and artificial intelligence.