More precise controls of misconduct in the Danish fishing industry
SAS showed great initiative in keeping the eye on the ball and focus on the results.
in detecting potential misconduct.
The Danish Fisheries Agency sees potential in using SAS® Adaptive Learning & Intelligent Agent System to improve accuracy in risk-based controls
Fishing is an important Danish industry with a total annual catch value of approximately EUR 400 million, which turns into exports worth about EUR 3.5 billion for the Danish economy. Monitoring European fishing quotas and the distribution of EU funds related to fishing are handled locally by the Danish Fisheries Agency (DFA). The DFA also performs inspections to ensure sustainable and legal fishing practices in Danish waters.
The DFA uses the SAS Platform as well as SAS® Visual Analytics, SAS® Visual Investigator and other analytics tools to gather, visualize and analyze data so it can be shared with a wide array of stakeholders across the DFA as well as with EU agencies, other government agencies, the Danish Bureau for Statistics, as well as scientists, environmental organizations and not least, the fishers themselves.
Insight into data allows the agency to follow up on the implementation of existing rules and new legislation, monitor the development in fishing, and to create efficient, data driven work processes, explains Lise Astrup Frandsen, who is head of department for the DFA’s IT & Data Office.
We have a strategic aim to continually strengthen data quality and apply data in more areas of our work, including the tools we use for risk-based prioritizing of controls. Lise Astrup Frandsen Head of department, IT & Data Office The Danish Fisheries Agency
“As an organization, we are very data-driven. We have a strategic aim to continually strengthen data quality and apply data in more areas of our work, including the tools we use for risk-based prioritizing of controls. This focus led us to define a project to investigate whether we could become even more precise in our selection of control subjects, for example when it comes to identifying potential mis-conduct according to rules,” says Lise Astrup Frandsen.
The Nordic SAS Public team offered to make a Proof of Concept (PoC) which could help determine whether the SAS® Adaptive Learning & Intelligent Agent System would improve accuracy in risk-based controls and uncover potential for improvements in the DFA’s existing SAS® Visual Analytics models.
The risk-based control tools are based on data monitoring compliance according to specific rules and regulations.
SAS showed great initiative in keeping the eye on the ball and focus on the results, and we ended up with a very engaging process in which we were kept informed and involved at the right times. Lise Astrup Frandsen Head of department, IT & Data Office The Danish Fisheries Agency
The SAS Team worked with the data experts at the DFA in iterative sprints, applying algorithms based on Artificial Intelligence (AI) to investigate the potential on two specific control parameters. During the three-week PoC period, the joint team managed an improvement from 33% to 56% in detecting potential misconduct on one the control-parameters using SAS® Adaptive Learning & Intelligent Agent System. The results on the other control parameter also showed potential when focused on the top ten percentile of the assessment of potential misconduct. Based on this promising result, the DFA expects to investigate into further possible improvements in accuracy using the technology.
“The initial results were promising, and we feel confident in the quality of the results that were achieved in the data analysis process. The next step for us will be to determine relevant monitoring areas to add these capabilities to our control processes,” says Lise Astrup Frandsen.
Danish Fisheries Agency – Facts & Figures
€ 3,5 billion
is the Danish export worth
yearly fish landings
controls on land and 551 at sea
“We were pleasantly surprised that the collaboration went very smoothly, knowing that data accessibility and thorough data understanding can be tricky in this type of project, not least when working within tight deadlines. SAS showed great initiative in keeping the eye on the ball and focus on the results, and we ended up with a very engaging process in which we were kept informed and involved at the right times,” she says.
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