Data. Insights. Possibilities.

Established in 2017 – Hamburg

Exactly what claim did the Weasley girl have upon it She deserved her punishment, as did the idiot Longbottom and the Lovegood CCDP it exam oddity Neville is not an idiot and Luna is not an oddity said Hermione. Where am I repeated Phineas Nigellus, starting to wrestle with the blindfold again. CCDP Where have you brought me Why have Cisco Certification you removed me from the house of my forebears Never mind that How did Snape punish Ginny, Neville, and Luna asked Harry urgently. Professor Snape sent them into the Forbidden Forest, to.do some work for the oaf, Hagrid. Hagrid s not an oaf said Hermione shrilly. And Snape might ve though that was a punishment, said Harry, but Ginny, Neville, and Luna probably had a good laugh with Hagrid. The Forbidden Forest they ve faced plenty worse than the Forbidden Forest, big deal He felt relieved he had been imagining horrors, the Cruciatus Curse at the very least. What we really wanted to know, Professor Black, is whether anyone else has, um, taken out the sword at all Maybe it s been taken away for cleaning or something Phineas Nigellus paused again in his struggles to free his eyes and sniggered. Muggle born, he said, Goblin made armor does not require cleaning, simple girl. Goblin s silver repels mundane dirt, imbibing only that which strengthens it. Don t call Hermione simple, said Harry. I grow weary of contradiction, said Phineas Nigellus. perhaps it is time for me to return to the headmaster s office. Sti

Exam CodeExam NameVendorCertifications
300-101 Implementing Cisco IP Routing (ROUTE v2.0) Cisco CCDP
300-115 Implementing Cisco IP Switched Networks (SWITCH v2.0) Cisco CCDP
642-871 Designing Cisco network Service Architectures (ARCH) Cisco CCDP
642-873 Designing Cisco network Service Architectures (ARCH) Cisco CCDP
642-874 Designing Cisco Network Service Architectures Cisco CCDP
300-320 Designing Cisco Network Service Architectures Cisco CCDP

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

  • You? Data Scientist (m/w)

    We are hiring! Apply now.

Contact

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.