PublicBI EUPP Analytics
An easy to use solution for analyzing EU public procurement information and deriving insights.
EU spends ~2 trillion euros per annum on public procurement. All EU procurement data above EU threshold and many contracts awarded below threshold is available in TED (Tenders electronic daily) data. However, the data quality issues hinder meaningful analysis and deriving of information and insights.
Summary and granular level analysis
Raw, cleaned and enriched data analysis
Multiple filters to slice and dice data
5+ years of data
Evolved data cleaning process applied
PublicBI does not guarantee the accuracy, completeness, or currency of the data included in this work (PublicBI EUPP Analytics) and does not assume responsibility for any errors, omissions, or discrepancies in the information, or liability with respect to the use of or failure to use the information. The boundaries, colors, denominations, and other information shown on any map in this work do not imply any judgment on the part of PublicBI concerning the legal status of any territory or the endorsement or acceptance of such boundaries.
PublicBI does not claim that all of the data quality issues present in the source data (TED data) have been detected and does not claim that all of the detected data quality issues have been fixed. Even those data quality issues that have been fixed from PublicBI's perspective, is not claimed to be complete and accurate. For example, in the case of financial values missing or presence of invalid value in the contracts awarded data in the source files (TED XML files), several rules have been applied to derive the best possible alternate value, however, validating the correctness of the derived value against actual value (not available) has not been feasible.
Currently, the public procurement data used as source data in the EUPP analytics solution is based on TED data. Not all of the contract awards below EU threshold is available in this set of data.
Currently TED XML files published from January 2018 are considered. Some of the files published in 2018 or later may contain contracts awarded in 2017 or earlier, as the data for 2017 and earlier is incomplete, it is best to simply disregard the information for years earlier than 2018.