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Data Science

Our Data Science team will support you from start to finish in the value chain of your data.
Team

Kernix supports you throughout your data project with a 4-step process:

  • Business understanding: understanding the business objectives in order to translate them into data-driven use cases and to define project performance measures.
  • Identification and preparation of relevant data for the project, whether from internal or external sources.
  • Analysis and modelling of the data using techniques such as machine learning, text mining, graph mining and others.
  • Demonstration of value creation through data visualization, an online application or simply scripts to implement the models.
Data Science Kernix

Business understanding

Describe use cases and performance measures.

Data Science Kernix

 

Method :

  • Define business objectives
  • Assess the current situation (resources, assumptions, constraints…)
  • Define the objectives in terms of data mining
  • Establish a project plan

Datas preparation

Analyse the true potential of data and choose the most promising use cases.

Data Science Kernix

Method :

  • Identify, collect and enrich data
  • Explore and visualise data
  • Merging different sources
  • Select and clean relevant data
  • Matching identified opportunities with key success factors

Analysis and modelling

Realising and modelling creation opportunities.

Data Science Kernix

Method :

  • Adopt a modelling technique (Machine Learning, Deep learning, Semantic analysis, Data mining)
  • Develop the models
  • Analyse and optimise the algorithms
  • Validate the results

Value creation

Develop the tools to convince and go further. Industrialise or automate value creation. Explore other use cases for other opportunities.

Data Science Kernix

Method :

  • Create an application that fulfils the key success factors
  • Present the results
  • Demonstrate the value created
  • Consider industrialisation together

Consulting and project management

Design

Web development

Hosting and management
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