Disorder in cumulative data, impossibility of getting insights and the overall picture
Instead of developing the company you waste the time and other resources on creating own analytical department
The team doesn’t gain new experience in external objects, is in an information bubble
The team is either overloaded or underloaded so it can’t react flexibly on business requirements
What problems can be solved by data science outsourcing?
Data-analysis allows to collect all the information about the company and market for further analysis, forecast and planning
We save your time and resources in acquisition, processing and analysis data of your clients, markets and internal processes
We work on a great number of various projects in different fields, have a vast experience in building all sorts of machine learning models
At each stage of the process you choose an optimum number of workers for certain task that allows to optimize the resources