Reduce working hours on errorprone, boring elements of research, complience and documentation jobs.
Increase the available information set and lower data acquisition costs.
Correctly join and integrate large datasets for automated modelling, machine learning and other advanced analytics techniques.
Our mission is to create actionable business and policy indicators with the help of advanced econometrics and machine learning using automated data ingestion and integration. Our target group are high value-added, small enterprises, particularly in the music, film, media industry and/or management & policy consulting serving such industries, where organizations or even their consultants do not have internal research and development, market research and data science capacities.
Our data analytics applications are reviewable and reproducible, which allows independent assessment and duplication of our results. This is a guarantee of high quality and security: our apps create data products that remain error-free after validation, and during validation any errors can be safely and quickly corrected. We are creating applications that are confirmable and auditable. These are usually required by the ethical guidelines and professional standards of our users.
Econometrics & machine learning
CAPI & online
Domain Specific Experience
Domain Specific Experience
Open Source Statistics
First release of regions on CRAN.
[[experience]] title = “Team Building” company = “Satellite Report BV” company_url = "” location = “Den Haag, the Netherlands” date_start = “2020-03-14” date_end = “2020-09-01” description = “team” Responsibilities include:
Making sure that your recommendations are confirmable and auditable.
Regulatory compliance, research and forecasting reports.
Re-Use of Taxpayer Funded, Public Data Assets
Collaborative reproducible research in the music industry
Automated Data Observatory based on the principles of reproducible research
The goal of eurobarometer is converting Eurobarometer microdata files, as stored by GESIS, into tidy R data frames and help common pre-processing problems.
An open source R package for validating sub-national statistical typologies, re-coding across standard typologies of sub-national statistics, and making valid aggregate level imputation, re-aggregation, re-weighting and projection down to lower hierarchical levels to create meaningful data panels and time series.
The results of the first Hungarian, Slovak, Croatian and Czech music industry reports are compared with Armenian, Austrian, Bulgarian, Lithuanian, Serbian and Slovenian data and findings.
The goal of eurobarometer is converting Eurobarometer microdata files, as stored by GESIS, into tidy R data frames and help common pre-processing problems.