Manipulation can go right, especially with data.
Although the precise survey programming and high quality data collection result consistent data there is a huge need for data preparation, manipulation and processing in order to make meaningful reports in the end.
Obviously when we process a market research dataset and make cross tables we have to know and use all industry standard methods like weightings, computations, top2 and bottom2 boxes, nets, means, averages, etc.
Besides traditional market research data processing and common used technologies we are specialized in more advanced tools like R or Python as well. With the combination of those tools and techniques we can solve more challenging data processing tasks as well.