Clean data collection, processing and storage
-as a basis for well-founded decisions.
Only clean data leads to correct conclusions. This is why structured and validated data sources are essential for successful business decisions. Sensible data preparation and storage is the basis for every data-driven company.
A clean, validated data set means that you can trust your visualisations and early cleansing of the data prevents misleading conclusions. This gives you well-founded insights from the ground up. We always maintain an overview: Because by combining different data sources, synergies and correlations can become apparent whose potential would otherwise remain unutilised.
We work with you to develop the best solution to achieve a sustainable data structure. Any transformations such as aggregations, pivoting, combining or splitting different data sources are used in a targeted manner so that the data is optimised for further use.
Depending on the use case, we use tools such as Adverity, Supermetrics or Python to extract, transform and load (ETL) data from various data sources (e.g. various social media and advertising platforms or Google Analytics).
