Analytics

The content management area was one of the first successful milestones in the implementation of open source.

The scalability and flexibility of the cloud is an opportunity for business environments to have greater possibilities of connection between different systems. The ability of a company to adapt to the cloud environment is a great business advantage because it means a greater accessibility to the data
That means that you’ll gain better functional connectivity.

In OpenSistemas we have been involved and have become experts not only in content management but in all areas associated with this technology, like portal management solutions, learning management systems or digital content edition for media. Thus, we are also experts in educational technologies. Our solutions are based on open systems and offer a comprehensive vision that ranges from system design or implementation of training platforms to develop specific features for a training product, generating specialized content below standards or creating global training portals that integrate various approaches and technologies. Our value proposition is focused on providing such kind of solutions for environments under high-performance requirements, such as advanced development or integration needs, very short access times, high volume of visits or high levels of expertise in a particular product or service.

Besides we are experts in Linux and deployments of open source products over the cloud so can design the project under a comprehensive vision that involves development, migration and support needs.

TECHNOLOGIES & TOOLS


  • R, Python and C/C++ programing environment
  • Microsoft Cortana Intelligence Suite
  • Pentaho and Saiku Business Analytics Suite
  • OsBrain, the OpenSistemas Big Data Multi-agent platform
  • Azure Machine Learning
  • Deep Learning using Tensor-Flow
  • Multi-agent technologies
  • Data Science approach: machine learning, statistical analysis
  • OsBrain Markets, the OpenSistemas Markets Analytics platform
  • Supervised Learning Systems: Neural Networks, Bayes, Decision trees, Random forest , SVM, …
  • Unsupervised Learning Systems: Clustering, Kmeans, PCA, Classifiers, …
  • Dataiku collaborative data science software platform

APPLICATION AREAS


  • Financial markets Analysis
  • Electoral Systems
  • Predictive models and algorithms
  • Tax fraud environments
  • Models and scenarios design
  • Algoritmic Trading technologies

SUCCESS STORIES


  • Financial markets Analysis
  • Electoral Systems
  • Predictive models and algorithms
  • Tax fraud environments
  • Models and scenarios design
  • Algoritmic Trading technologies

Productive Analytics Investigation Projects