Please note: The algorithm descriptions in English have been automatically translated. Errors may have been introduced in this process. For the original descriptions, go to the Dutch version of the Algorithm Register.

Dashboard BiBob files

Data analysis for insight and overview of Bibob reviews.

Last change on 15th of January 2025, at 13:29 (CET) | Publication Standard 1.0
Publication category
Other algorithms
Impact assessment
DPIA
Status
In use

General information

Theme

  • Organisation and business operations
  • Public Order and Safety

Begin date

08-23

Contact information

algoritmen@amsterdam.nl

Link to publication website

https://www.amsterdam.nl/bestuur-organisatie/volg-beleid/veiligheid/integer-handelen/beleidsregel-bibob/

Responsible use

Goal and impact

The municipality of Amsterdam has been applying the Bibob Act since 2003. The Bibob Act allows the municipality of Amsterdam to use a Bibob investigation (integrity screening) to prevent us from facilitating criminal activities when granting licences, providing subsidies, awarding public contracts or entering into property transactions.


The Bibob dashboard provides insight and overview of the files to which a Bibob test is applied. We use this to provide management figures at city, district and branch level. For example, it can provide an overview of:

  • The number of open and closed dossiers
  • The results of the assessments
  • the number of files per sector
  • the (average) processing times
  • the types of documents in the dossiers
  • the data quality of dossiers.

This allows the municipality to monitor the process and improve it where necessary.


Considerations

  • Efficiency and speed: large amounts of data are analysed automatically. This provides quick reports with up-to-date and relevant information (trends and patterns that would be difficult to spot manually).
  • Consistency and objectivity: the dashboard provides a consistent way to analyse and present records and related data. This reduces the risk of human error or subjective interpretations.
  • Insight into process improvement: by automatically displaying processing times, handling and data quality, we can quickly identify bottlenecks. This helps the municipality to implement targeted improvement actions and make the process more efficient.
  • Data integration: the dashboard can bring together data from different organisational units, giving a complete and integrated view of cases.


Human intervention

Coordinators and staff use the outcomes of the dashboard to understand the systemic reality of the review process. With the dashboard's data visualisations, they can check whether current policies are being applied appropriately and whether there are any notable trends. This may relate to specific branches, city districts or periods that deviate in the figures, or to the influence of information exchange with chain partners on the reviews. Based on these analyses, staff can make adjustments and adjustments to improve the process if necessary.

Risk management

  • Uses only necessary data (only what is also entered into the case systems);
  • Data visualisations are restricted by personal authorisation by role/function (only for those also allowed in the case systems);
  • Content consideration is a human consideration;
  • There is an impact assessment (DPIA) of the OOV data warehouse;
  • There is a DPIA of the Bibob process;
  • The dashboard also shows the data quality of the files in the case systems in which registration is made.


Legal basis

wetten.nl - Regulation - Promotion of Integrity Assessment by Public Administration Act - BWBR0013798 (overheid.nl)

Link to Processing Index

https://www.amsterdam.nl/privacy/verwerkingsregister/verwerkingsregister-avg/  

Impact assessment

Data Protection Impact Assessment (DPIA)

Operations

Data

  • Personal data;
  • Address data;
  • Case data;
  • Licence data


Technical design

The data from the case systems in which we register the Bibob assessments enter the OOV data warehouse and are displayed in a dashboard. Here, for example, they are displayed per selected time frame according to sector, result, district, processing time, type of legal entity and document types.

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