In our digital world data is growing faster than ever before, doubling its amount every two years. According to Forbes, about 1.7 megabytes of new information will be created every second for every human by 2020.

Big Data aims at collecting and managing these tremendous amounts of data, whereas

Data Science is the process of further analyzing and preparing to extract the information, dependencies and other insights from collected data.

Such an approach allows making the production processes more efficient and marketing strategies more targeted and cost-efficient.



  • Financial, healthcare companies and establishments who are in need of a reliable solution to predict and reduce potential risks, analyze customers’ behavior, operational movements, fraud, compliance, etc.
  • Companies in social/gaming industries who need to expand their subscriber bases and generate more targeted products or content.
  • Individuals or companies with their own data-driven solutions who need to modify or improve them.


  • Internet search companies that need to deliver better results for search queries.
  • Digital, marketing, advertising and SEO companies that want to get higher CTR and faster ROI.
  • Recommendation systems (engines) that need to increase the quality of their promotion and suggestion campaigns according to user experience.
  • All companies that need to bring more efficiency into their business processes.