Brisa’s goal is to transform the quality of life for communities, connecting people through simple, safe, sustainable mobility. Brisa’s mission is to develop and efficiently manage sustainable, innovative transport infrastructures and mobility solutions that best serve their clients.
Brisa needs to collect and analyse a large set of indicators in its daily management and operational activity. This information is spread across several systems and, in some cases, presents a large volume of data. All the necessary information must be processed and analysed in a timely manner so that it can be made available to various business areas and units.
The solution defined involved implementing modelling and a scalable architecture, which allows the Brisa Group to respond to the constant change of paradigms without the need to reformulate the existing solution. The data is consolidated in a central data lake and, when necessary, modelled to meet the business's specific needs.
Regarding the visualisation and analytics component, users need to receive and access consolidated reports with well-defined formatting (pixel-perfect). On the other hand, they were given the ability to develop their own analyses based on the available data. Learn more about Xpand IT’s approach to modern analytics with Tableau in this success case.
Self-service analytics and the use of Tableau is very important for our team, allowing our internal clients, whether they are marketing teams or the business units themselves, to have access to a visual interface that is very easy to interpret at various stages of the operationalisation of marketing campaigns, from segmentation and targeting to performance measurement, and consequently the review and continuous improvement of these campaigns.
Main Benefits:
- More accessible information – currently, around 20 departments and about 200 employees take advantage of data analysis;
- Focused IT team – about half of the dashboards are now prepared autonomously by individual departments;
- Reduction of time-to-market of solutions – self-service analytics and the increased involvement of business teams;
- Increased business team efficiency – with data collection happening directly in the Data Lake;
- Strengthened governance – with the creation of user groups and areas responsible for the data in each department.
With self-service analytics, we have registered efficiency gains, significant savings in data collection and analysis, and increased the reliability of the data collected and analysed. We eliminated the manual processes of data recording and the respective consolidation, calculations, and evaluation of consumption in Excel. We now have a view of all the environmental indicators (fuel, electricity, water, waste, emissions) of the Group and of each business unit, which facilitates the monitoring of Brisa’s environmental performance and decision-making (…).
Technologies:
