Data Processing

The Open Pit of the Udachnaya Diamond Mine, ©Stapanov Alexander

Data analysts spend 80% of their time on data processing, even though computers can perform these task much faster, with far less errors, and they can document the process automatically. Data processing can be shared: an analyst in a company and an analyst in an NGO does not have to reprocess the very same data twice*

See our blogpost How We Add Value to Public Data With Imputation and Forecasting?.

Cultural & Creative Sectors and Industries Observatory
Cultural & Creative Sectors and Industries Observatory
Automated data observatory

The creative and cultural sectors and industries are mainly made of networks of freelancers and microenterprises, with very few medium-sized companies. Their economic performance, problems, and innovation capacities are hidden. Our open collaboration to create this data observatory is committed to change this.