Enhance data-driven decision-making within the Department of Welfare

Description of the action and objectives

Green Deal action

The Department of Welfare intends to make regular forecasts for social group developments to estimate the demand for welfare service and calculate long-term cost estimates. This will be completed by the end of 2024.

Also, a real-time data dashboard will be created, displaying Department of Welfare service statistics and service user's satisfaction with those services.

 

Implementation period

Planned completion in the second half of 2025

Status: In progress

Status report on January 1, 2024

The Department of Service & Innovation has delivered the predictive model to the Department of Welfare, completing the project. The following statistical dashboards are now available: Refugees, Shelters, Applications, Housing. A dashboard on school services is in progress. The dashboards are accessible to all employees of Reykjavík City. Since 2023, the Department of Service & Innovation has been transferring all welfare data into a new database and data warehouse, which will update automatically to connect data to dashboards and show real-time status. Currently, older connections are used for this work, which will be phased out in the future.

Older status reports

Below you can find older status reports with information on the progress of the action since its inception (if you're using your phone, it's better to turn it sideways).
  Timing Progress description
  July 2023

Data Services of the Department of Service & Innovation (ÞON), the Office of Finance in the Department of Welfare (VEL), and the performance and quality assessment team in the Office of Administration of VEL have been working on predictive models for financial assistance, home support, home nursing, and special housing aid. The project is ongoing and will not be completed until 2024. Work has also begun on transferring statistical data into the data warehouse in collaboration with Data Services of ÞON.

  January 2023 Collaboration is ongoing with Data Services of the Department of Service & Innovation to develop a predictive model around four distinct service components. (1) Financial assistance, (2) home support (previously known as social home service), (3) home nursing, (4) special housing aid. In addition, work is ongoing to transfer all statistics to a data warehouse. Following this task, interactive dashboards will be created to display the Department of Welfare's statistics and, when possible, real-time data. The project is in its early stages, and a detailed time-line is not yet available.
  July 2022

An application was submitted to the Project Council of the Department of Service & Innovation for collaboration on creating a prediction model. The application was approved, and the data service of the Department of Service & Innovation, along with the Finance Office of the Department of Welfare, has been working on the project. It was decided to start work on predictions in three service areas: (1) support and standby services, (2) home support (previously social home care), and (3) special housing aid. An employee at the Finance Office of the Department of Welfare did the groundwork for the project in the first part of 2022. The task has now moved to the Data Service of the Department of Service & Innovation, where specialists will complete the prediction model.

In June 2022, the Department of Welfare got approval from the Project Council of the Department of Service & Innovation to transfer all statistics to the data warehouse. Once the data is in the warehouse, dashboards will be created that display the Department of Welfare's statistics in an interactive and, when possible, real-time manner. The project is in its early stages, and a detailed time-line is not yet available. At the same time, a decision has been made to work on a pilot project for internal dashboards to test functionality and better identify the data needs of staff and managers.

 

Connection of action to Reykjavík City's policies:

 

Reykjavík City departments: