• Gain basic insights about what newly released data shows about UK companies
• Uncover flaws in the data to improve future data collection efforts
• See whether the data points to any promising leads for further investigation

• Thousands of UK companies are owned by other companies in tax havens. This is potentially against the rules
• Some of these tax-haven-owned companies are also in receipt of government contracts
• Some companies were owned by people whose names and month/year of birth match the details of disqualified directors. Some even matched people on the US sanctions list.*
• Some companies were owned by senior political figures, often referred to as Politically Exposed Persons.*

* Without further investigation, we don’t know if this match points to the same people, as the match is just month and year. But it’s a powerful example of what we can do with this newly released data.

Global Witness is an independent, not-for-profit organisation that campaigns to end environmental and human rights abuse that are driven by corruption and the exploitation of natural resources.

OpenCorporates is the largest open database of companies in the world. Their aim is quite simple (though mammoth in scale) - to create a url for every single company in the world.  

Together, both organisations have fought hard for the UK government to release information about UK-based companies. Finally, in June 2016, Companies House, the UK registrar of companies, started publishing the world’s first open data register of “beneficial owners” or “people with significant control” of companies registered in the UK. These are the real people who own and control companies. This project was our first coordinated attempt to explore this data and find out what it reveals about potential cases of tax evasion and corruption.  

Led by Data Ambassadors Gail Dawes, Nick Jewell and Sarah Constant, over 30 DataKind UK volunteer data scientists had the chance to work with Global Witness over a weekend DataDive to explore the data and uncover findings. They were also joined by an incredible group of partners - OpenCorporates, Organised Crime and Corruption Reporting Project and Spend Network  - who all brought interesting data along to the event and participated all weekend, helping to give the volunteers’ context.

Using data from the original Companies House source, the UK registrar of companies, volunteers split into three teams to gain insight into UK companies and see if there is cause for further investigation as well as uncover any flaws in the data itself so Companies House could improve its next data release. The teams dove into the data, first prepping it for analysis with data wrangling and munging to then use different analytical techniques like fuzzy matching and network analysis to understand what the data might show.

There were a number of interesting findings including:

• almost 3,000 companies (0.2% of the 1.3 million UK companies that have registered their beneficial ownership data) are owned by companies with tax haven addresses, implying they may not be paying full tax on their activities in the UK
• 76 people listed as beneficial owners matched names and birth month and year with a person on the U.S. sanctions list*, potentially raising issues of corrupt leadership
• 19 people’s names and birth month and year matched senior political figures, often referred to as Politically Exposed Persons*, raising questions of potential conflicts of interest
• 267 people whose name and birth month and year matched those of disqualified directors, ie people who have been banned from being company directors for not meeting their legal responsibilities.*

*Without further investigation we don’t know if this match points to the same people, as the match is just birth month and year. Still, it’s a powerful example of what we can do with this newly released data.

The teams also found errors in some of the text fields, due to how the data was manipulated or the simple fact that humans often don’t fit into neat boxes. For example, there were over 500 terms used to describe a person being “British,” including, for example, ten people who identified themselves as Cornish. (Cornwall is a county in the southwesterly tip of the UK.)