Description
This service focuses on deeply screening and clearing duplicate submissions, spamming, and invalid false data within business research surveys across corporate survey channels. Utilizing deep machine learning algorithms, the system performs cross-comparisons across multiple dimensions—including semantics, IP characteristics, time stamps, and core answering logic—to precisely identify and flag duplicate samples, significantly improving the accuracy and value of final business analysis reports.
The collaboration model strictly follows your standard business path: customers first obtain a base quote online, after which dedicated evaluators conduct thorough communication to understand your survey pain points and deduplication criteria. Upon finalizing the plan and receiving the down payment, we execute high-intensity automated deduplication alongside manual spot checks. Once all work is completed, confirmed by you, and the final balance is paid, the complete set of clean, high-quality datasets will be delivered.
This custom service fully aligns with strict standard data processing norms, providing a reliable foundation for everyday market insights and business decisions. Based on current market rates, the estimated price range for this full-process service is approximately $950 to $2,200, with final costs calculated during the communication phase based on your survey volume.




