5 Consequences of Patent Data Errors: The Applicant Name Field
It’s the first rule of statistics: if the data behind an analysis is inaccurate, the results of the analysis will be just as inaccurate and unreliable. For patent information users, the consequences of bad data usage are huge and can range anywhere from wrongful litigation, to incorrect competitive benchmarking, to misguided strategic decisions, all of which end up costing organizations time and money. Many of these cases have one common factor to blame that appears to be very basic and straightforward at first sight, but upon closer look can be quite tricky: the “applicant name” field. Find out how you can avoid the most commonly made mistakes and rest assured that you are using quality data.