Data analytics plays an increasing role in anti-financial crime efforts. After all, it’s through connecting disparate datasets and analysing the results that anti-financial crime professionals can often uncover red flags and patterns of suspicious activity. Company data is critical in this kind of analytics – because you cannot join the dots between companies, individuals and … Continue reading ACAMS Europe: Impact lead to join panel on data analytics in financial crime prevention
Tag: data analysis
Company data at scale: when to use an API or a whole dataset in bulk? (Or both)
The ability to search for company data record-by-record is invaluable, but what about when you need the data at scale – such as to automate workflows, underpin a tech platform or connect it with other datasets? Whilst some company registries are still in the business of providing company data on CDs (anybody remember those?), two … Continue reading Company data at scale: when to use an API or a whole dataset in bulk? (Or both)
From company register to standardized open data, our processes explained – Part 2: Analysis
This is the second of our behind-the-scenes series of data-focused blog posts intended to help explain what happens when we introduce a new company jurisdiction to OpenCorporates. In the previous blog post we discussed how we find new sources of company data & choose the most appropriate one. In this, Part 2, we’re covering Analysis … Continue reading From company register to standardized open data, our processes explained – Part 2: Analysis
From company register to standardized open data, our processes explained – Part 1: Scouting for data
OpenCorporates’ mission is to be able to list every company in the world, using only public sources to provide full transparency and provenance. In order to achieve this, the OpenCorporates Data team works constantly to expand its coverage of jurisdictions where companies can be registered (120 and counting so far!), whilst maintaining a rigorous set … Continue reading From company register to standardized open data, our processes explained – Part 1: Scouting for data