Self-service analytics with Tableau
Brisa Group
ABOUT THIS SUCCESS CASE
Brisa implemented the Cloudera Data Platform and Tableau to consolidate data in a central data lake, promoting self-service analytics. This increased team autonomy, improved efficiency and decision-making, and eliminated manual processes, resulting in enhanced governance and reduced time-to-market.
SCOPE OF THIS SOLUTION
- Tableau
- Lumada
- Cloudera
Challenge: development of a self-service analytics model
In its daily management and operational activity, Brisa needs to collect and analyze a large set of indicators. 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 analyzed in a timely manner so that it can be made available to various business areas and units.
Therefore, two main objectives were defined:
Offloading the operating systems
so that the analytics processes no longer put any processing load on the systems and, at the same time, centralizing the information.
To make information available
so that the various business areas could take advantage of it autonomously, thus promoting self-service analytics and a data culture.
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Migration from on-prem to cloud.
The Solution: centralized information in the same platform
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 specific needs of the business.
The fact that it is a hybrid Cloud solution allowed us to take advantage of the investments made and to benefit from the elasticity of the Cloud, making it possible to adapt the solution to the expected growth in a gradual manner.
In order to extract, transform and load information from diverse types of systems, Brisa chose Lumada Data Integration (LDI), which allows the use of various sources of information.
At the end of this process, the information is centralized on the Cloudera Data Platform (CDP), a hybrid platform that enables the consolidation and processing of large volumes of data.
“With self-service analytics, we have registered efficiency gains, with significant savings in data collection and analysis, and we have increased the reliability of the data collected and analyzed. 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. The tool is adjusted to Brisa's specific needs, which allows greater autonomy and greater alignment between teams. The sustainability area and the operational area (engineering, operation, and maintenance of BCR's motorway network) benefit the most from this tool.”
Margarida Apetato
Sustainability Manager, Brisa
As far as the visualisation and analytics component is concerned, 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.
Tableau technology responds exactly to these requirements, which has given great autonomy to users, guiding them in the preparation of their analyses. Specific training made it possible to speed up the entire process, covering several users.
Using Tableau, it is now easy for any business user to reate appealing visualisations, highlighting the information available from the analysed data, and increasing their autonomy.
“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 operationalization of marketing campaigns, from segmentation and targeting, to performance measurement, and consequently the review and continuous improvement of these campaigns.”
Nuno Martins
Customer Insights & Marketing Manager, Brisa
Benefits: Increase in efficiency and transparency in information
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 translates into reduced time to market and increased agility.
Increased business team efficiency
With data collection happening directly in the Data Lake, the teams have reduced the number of processes, saving time for analysis.
Strengthened governance
with the creation of user groups and areas responsible for the data in each department, the sharing and distribution of information is now much simpler.
Half of the dashboards
are now prepared autonomously.
Technologies
About Brisa
Foundation in 1972
+2500 employees
The goal is
- To transform the quality of life for communities;
- Connect people through simple, safe, sustainable mobility.
Mission
Develop and efficiently manage sustainable, innovative transport infrastructures and mobility solutions that best serve their clients.
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