Netherlands Enterprise Agency

The algorithm is used to make an automated risk assessment for all Applications for Fixed Chargesgemoetkoming, prior to automated or manual granting and payment of the advance.

Through a set of rules based on chance, as well as on a risk assessment, determined which application (relationship) qualifies for an audit.

The algorithm on recognition of mutations on agricultural land (reference register) distinguishes parcels with high certainty into two groups: unmutated parcels and mutated parcels. This allows RFO to go through the group of mutated plots manually faster.

With this algorithm, European agricultural targets can be linked to national schemes. This shows how many people or what results can be achieved by deploying the various schemes. This tool can be used to check how far away one is from achieving the Dutch and European targets.

This algorithm helps assess WBSO applications. It picks out applications with low financial risk, which can then be processed faster by RFO staff.

The algorithm is used to perform automated risk assessment for all Energy Cost Contribution applications, prior to automated or manual granting and payment of the advance.

The algorithm is used to provide subsidy to farmers who have taken out insurance against adverse weather conditions. The weather conditions covered are hail, storm, drought, rainfall, frost, snow, sleet and fire caused by lightning.

The algorithm is used to provide an SDE++ grant application with a risk indication. This is done before the application is assessed by an adviser and before a decision on an application is sent.

In the reporting of the digital reporting form of the energy saving information obligation, companies fill in the EML for each location. The digital counter determines whether the energy saving obligation is met based on the answers . This is done by generating a classification code .

TenderTrends is a model that searches for relevant tenders based on entered keywords and filters and displays data from these. For instance, if the words 'grass', 'mowing' and 'trees' are entered, tenders containing one or more of these words will appear. The user can convert a selection of tenders ...