Chris Taggart is the CEO and Co-Founder of OpenCorporates, a database with legal entity data on 165 million companies in 130 territories. He explains how this kind of data can fuel big data initiatives that provide business insights, support transparency in business, and benefit society as a whole.
"Legal entities are the building blocks of business all around the world, having the power to enter into contracts, and have assets and liabilities, and thus this data is essential for business. When you work for a company, you don’t work for the manager or the shareholders. Managers and shareholders can change, but the legal personality remains the same."
"This data represents information that is pulled from public sources, about incorporation of companies, the directors, the industry codes, the addresses, the status and so on of 165 million entities. It’s not sexy, but that’s what makes it so important and so universal."
"Trust and transparency are critical to company information. Not merely because transparency helps to track down bad actors carrying out money laundering and corruption, but also because transparency is fundamental for good business. Business is all about trust, and you earn trust with transparency."
"Without legal entity data, I don’t know whether this company in, say, Myanmar or France or Australia even exists, or if the people who are contacting us are connected with this company, or what its history is. Without this information, you cannot possibly have trust, and without trust you cannot have a good business environment."
"What we’re talking about is creating societies where there are companies that are, for example, innovating in agriculture and producing food, goods and services. We’re talking about a vibrant, trusted economy. I don’t see that there is any possibility of doing that without making sure that the existence of those companies and the connections with those companies is not just visible but freely available to everybody."
"One of the crucial requirements for sustainable development in the widest sense is making sure that we have effective, fair, transparent business markets that people can enter into and take risks."
"Business poses risks, but those risks should be around questions like ‘have I made the right decision about this product?’ or ‘is this the way we should be serving our clients?’, not ‘am I going to be competing with people who have got an inside track?’ or ‘is my license going to be withdrawn because of corruption or the lack of rule of law?’"
"The rule of law is allied with transparency around data on company information. Trusting that information and understanding who you are doing business with is absolutely fundamental to these goals."
"We have hundreds of thousands of people accessing our information online without paying any money. Many of them, such as banks, business information companies and governments, need the data at scale. Rather than just doing an individual search, legal entity data can be integrated into their workflows and combined with other datasets for analysis."
"The reason our data is so attractive is precisely because we have hundreds of thousands of disparate users using the data and that is a quality feedback loop that is unrivalled anywhere else. Then the money we get from commercial users, together with our deep domain expertise, supports our ability to collect even more data and publish it for free."
"The more people using our data for free, the higher our data quality, which makes more people want to use us in their business processes, which generates money, and so on. This is what we mean by a virtuous circle."
"When you look at where technology is going in the future, it is clear that these new and exciting technologies—artificial intelligence (AI), blockchain, smart contracts—generally have transformational powers. One universal requirement is good data to fuel these systems. When you’ve got skewed, bad, incomplete, black box data going into the system, the chances of success with AI are low. Without trustworthy data, applications like deep learning or machine learning (ML) will struggle to make sense of data and develop useful algorithms or insights."
"This is where we’re going with data. It is about taking structured, provenanced data that you can trust. You can put the data into algorithms and use it to drive ML. You can apply deep AI to it and understand what you get and have confidence in what you get."
"There is almost no section of the business world, and those that regulate and service it, that does not use legal entity data. This includes lawyers, journalists, NGOs, governmental people, regulators, law enforcement, businesses and banks."
"If you don’t know who those entities are, you don’t know if they really exist, then already you’re in a bad place before you’ve even really started. That’s why OpenCorporates is being used increasingly to provide the foundational data for these sorts of systems."
"The power today when we’re looking at data comes not on a record-by-record basis, but from having it as structured data that you can do things with, and nowhere is this truer than when you’re looking for insights in the data."
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