We collect and aggregate open data from a variety of sources: social platforms, catalogues, websites, crowdsourcing, and many more.
Once we have collected enough raw data, we proceed to the process of data anonymising, sorting and structuring, cleaning and removing its irregularities, and enriching it.
After that, we transform the data into intelligent estimations by using best-in-class calculations and machine learning algorithms developed by our team of leading data scientists and influencer marketing experts. We constantly test and improve our algorithms, connect new data sources and upgrade models.
We have to admit that not all publicly available data is accurate. There is a certain error rate among machine learning algorithms, which is why we use a combination of external recognition and a highly trained QA team to ensure that our insights are calculated as accurately as possible.