85% of big data projects fail according to Gartner.

Why?

  1. Companies install more than 920 different cloud services. Creating silos in the organization and challenges to integrate them.
  2. Lack of architecture (devops)
  3. Difficulty in connecting data into Business applications
  4. Lack of talent. Only 0.00004% of the world population knows how to read, organize and analyze data.
  5. 67% of employees are not comfortable with their current analytics tools. Tools are so specialized that they create silos in the organization.

In conclusion, it is hard, difficult and expensive to be a data driven company.

That’s why we created a tool where companies can build and put Machine Learning pipelines into production, fast. Without coding.