The data processing team assures the cleaning, transforming, validating or modeling the raw data, according to received specifications. Clients can use files with various formats of imported and exported data.

We cover the following and more: weighting data according to the simple structures, preparing and checking the tables according to project specifications, calculating advanced statistical metrics and modeling as required, proactively identifying and escalating potential issues related to metrics. 

In the pre-processing step, our team cleans up and organizes the data for the following stage of processing. Throughout the preparation, raw data is extracted and diligently verified for any errors. The purpose of this process is to eliminate incomplete, redundant or incorrect data and to start creating high-quality data. This way, the client’s projects will be accurate, updated and ready for the actual tasks.

Say “NO” to duplicates, syntactic or semantic errors with our data processing team. They thoroughly check the data to increase the quality of the results.