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Industry specific insights

Logistics industry insights
  • Categorization and segmentation of customers
  • Priorization of orders
  • Prognosis of delivery dates
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Retail industry insights
  • Turnover and market prediction
  • Customer segmentation
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  • Topic trend and product portfolio analysis
  • Product insights analysis
  • Sentiment analysis
  • Clickpath analysis
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  • Delivery forecast
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Production and manufacturing specific insights
  • Turnover and market prediction
  • Prognosis of material availability and usage
  • Automatic quality checks based on machine learning
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  • Optimization of machine and asset utilization
  • Real-time monitoring of production pipeline
  • Prognosis of project delivery dates
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Finance and controlling insights
  • Fraud detection
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Human resources insights
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IT insights
  • Anomaly detection within IT security
  • Monitoring of IT infrastructure and trend analysis
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  • Service utilization and optimization
  • Prediction of infrastructure and IT service failures and downtime
  • IT cost modelling and prognosis
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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
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    Founder and managing director. 10 years experience in digitization of companies meets passion for data and analytics.

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

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    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.