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DATA SCIENCE SOLUTIONS

Data analysis plays an important role in creating economic and social value and most importantly achieving business results. However, most of the insights, relationships and signals remain hidden, because organisations are lacking the necessary data science skills to exploit their data. Our extensive experience in building data science solutions helps clients capture data from various sources (structured and unstructured) and transform it into actionable insights.

Why Corballis?

Proven track record: Successfully delivered world class data science solutions ensure efficient and effective decision-making processes.

Technology expertise: Corballis expertise in a wide range of data analytics techniques, tools and frameworks ensures that we can deliver the right solution for your business.

Industry expertise: Our solutions cover various industries and functions including aviation, law enforcement, security, aircraft maintenance and other management systems.

Solution features
Capturing:
  • Import and process data from any data source
    • structured and unstructured
    • dirty data
    • log files
    • emails
    • spreadsheets
    • databases
    • Internet of Things (IoT) devices
    • web crawls
    • social networks
    • many more
Organisation:
  • Data cleansing (auto correct mistakes, fill in missing data, validation, etc.)
  • Advanced de-duplication algorithms
  • Data transformation (bringing the different data sources to a common format)
  • Multilingual processing
  • Indexing and searching
Scalability:
  • Our expertise ranges from building single node analytics solutions to designing and implementing multi-node distributed processing pipelines
Analysis:
  • Predictive analytics
  • Bayesian statistics
  • Time series analysis
  • Pattern matching
  • Regression
  • Clustering
  • Classification
  • Big data
  • Word associations
  • Sentiment analysis
  • Topic tagging
  • Category recommendation
  • Named entity extraction
  • Coreference resulotion
  • Similar documents (clustering)
Visualisation:
  • Visualise relationships and patterns between operational and business activities
  • Reveal hidden linkages
  • Access huge amounts of data in easily digestible visuals
  • Identify and act on emerging trends faster
  • Manipulate and interact directly with data
  • Comprehend information quickly
Case studies

Automatic analysis and real time monitoring

Application of data mining, real-time monitoring and visualisation techniques to allow prediction and mitigation of risks in flights before safety events occur (proactive safety management).

Safety performance management – Eurocontrol

Development, deployment and support of a safety risk monitoring solution for European regulatory bodies and for state air navigation service providers.

Border security passenger screening

Development of a border security passenger screening application for an international client and border security agency.

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