An organization operating a network of residences for the elderly, dedicated to providing a caring and nurturing living environment, wished to track the demographic trends of its residents over time, including variations in the number of residents. However, their current system didn't allow them to keep historical data, making it difficult to analyze these crucial changes. Visualizing trends over time was essential to better understand the needs and preferences of their residents, and to anticipate the services to be offered. With this need in mind, BEEM implemented a Slowly Changing Dimension (SCD) type 2 solution. This approach makes it possible to track changes in demographic data while maintaining a precise history, taking into account each resident's career path. BEEM worked hand-in-hand with the residences network team to identify the relevant information to be tracked, building a flexible solution perfectly suited to the establishment's demographic tracking and analysis objectives.
To meet the need to track the evolution of data over time, BEEM recommended the implementation of a SCD type 2. This method maintains a history of changes in the data without overwriting previous information, by adding a new line to each change to track the evolution of each record. This gives the organization's team a continuous, accurate view of demographic trends, with key indicators such as changes in average age, length of stay and number of residents.
BEEM began with a series of in-depth discussions to fully understand the specific needs of the network of residences and the importance of each piece of data for the well-being of residents. Several solutions were studied, but the implementation of SCD type 2 emerged as the best option. BEEM worked closely with the teams to identify the critical fields to be included, such as resident age and gender, enabling decisive trends to be accurately captured.
By integrating this solution, BEEM's platform now ensures that historical information is recorded and updated with every change, giving network managers access to a complete view of population changes over time. This methodology ensures that trends are faithfully followed, and that reports accurately reflect the evolution of the customer base.
In addition, the solution's flexibility means that the model can be extended to include other data as required, offering even finer-grained analysis of residents' preferences and behaviours. For example, it enables activities to be customised for each age group, such as physical exercises adapted for older residents, or social activities to encourage interaction between generations. The platform also facilitates workforce optimisation by enabling an adjusted distribution of staff, adapted to residents' dependency levels. This approach not only contributes to the day-to-day well-being of residents, but also to more efficient resource management and improved service delivery.
Thanks to BEEM's implementation of this solution, the network of residences now benefits from enhanced population monitoring and analysis capabilities. Teams can easily visualize demographic trends, such as increases in the number of residents or changes in average age, and make informed decisions to adjust services and resources in line with evolving needs.
The quality and accuracy of demographic data provides a solid basis for strategic decisions, while reinforcing confidence in the reports provided. With an overview of trends, the network can better anticipate the needs of its residents and optimize its operations accordingly, ensuring proactive management and a quality of service that always lives up to expectations.
Trusted by industry-leading companies of all sizes
