Over the last few months the fake news dilemma has featured prominently in the media. Day in and day out we receive bits and bytes of information through social media and other electronic sources that many read and take to be the truth, the whole truth, and nothing but the truth, regardless of how outlandish the claim or the source.
Such bits of information are rarely vetted either through our own personal “common sense” filters or through other reliable filters . This usually happens because we are pressed for time and simply can’t find the few minutes needed to verify and validate the information presented to us. What is even more problematic is that many of us pass on such unfiltered misinformation through broad electronic social networks thus perpetuating and exacerbating the problem.
The same holds true for the data we collect in the area of international trade. Customs uses data to drive every element of its trade facilitation and enforcement programs. Data collection and its subsequent crunching, dicing and slicing is the bedrock of their risk management processes. Decisions by Customs to focus on certain areas of potential non-compliance, on shifting resources to contain perceived risk, and on pinpointing companies and their transactions for audit, and further scrutiny are made on what data is reported.
The key questions for companies are: how reliable is the data that is reported, and who is responsible to ensure that the data is accurate and reliable? In addition, what internal controls are followed to vet information. Compliance means reporting accurate information on the transaction to substantiate adherence to legal and regulatory requirements. U.S. Customs and Border Protection enforces strict record keeping requirements, which state “the accuracy of import (and export) information is important not only because it affects the revenue, but because accurate trade information and statistics are important in determining trade policy, the future eligibility of certain goods or goods from certain countries for special programs, the impact of imports on domestic industries, and the effectiveness of various trade agreements and programs.”
Companies need to established sound practices of filtering data received as well as self-generated. If data is not regularly tested and validated it leaves your company in a vulnerable position. By reporting incorrect data to regulatory agencies, whether you yourself file, or you use a broker to file on your behalf, your company may be subject to unnecessary enforcement reviews, and penalties.
When it comes to data reporting, garbage in, garbage out is not acceptable anywhere in the supply chain. Only accurate and reliable data can help to keep your company insulated from risk.