SoftwareOne case study

SEPLAG-MG combats natural disasters with AWS

The State Secretariat for Planning and Management in Minas Gerais (SEPLAG-MG) in Brazil turned to SoftwareOne to help develop an innovative disaster response technology utilising AWS.

SEPLAG-MG is responsible for formulating and strategically coordinating public policies that promote the sustainable economic, cultural and social development of the state of Minas Gerais, with the aim of reducing regional and social inequalities.

Home to a population of 20 million people, the Brazilian state of Minas Gerais is susceptible to natural disasters such as floods and droughts resulting from global warming and other factors. To minimise the number of casualties and the effects on the local population and environment, SEPLAG-MG turned to SoftwareOne to help develop an innovative disaster response technology on AWS.

Client: State Secretariat for Planning and Management in Minas Gerais (SEPLAG-MG)
Industry: Public sector
Platform: AWS Cloud
Services: Cloud Services for AWS; EventBridge, Lambda, S3, AWS Glue, AirFlow, QuickSight, SNS, Amazon RDS, Athena
Country: Brazil

An integrated data platform aids crisis management

The state of Minas Gerais needs to be well-prepared at all times for natural disaster occurrences, so they can speed-up disaster response efforts and reduce the potential loss of life. With the help of SoftwareOne, a solution built entirely on AWS technology has helped them address the frequent challenges they face because of extreme weather conditions.

Several AWS technologies were used to create a new platform which helps to map areas and communities vulnerable to disaster threats (especially flooding) in Minas Gerais.

Amazon S3 storage services and Amazon RDS provide the ability to store the data. AWS Glue (a serverless data integration service) collates and integrates data from multiple sources including SEPLAG-MG’s Mapeia Minas data analytics and mapping solution.

QuickSight dashboards help to present the data to public bodies, defense agencies and social welfare departments. The data insights are used by them to identify and analyse populations at risk from natural disasters so they can build effective disaster response and crisis prevention policies, deploy rapid response teams effectively, and allocate resources to areas that need it the most.

Location data in the platform is collected using Location Services so that alerts via SNS can be used to send messages to those impacted or in emergency situations. AirFlow and Lambda systems were used to orchestrate actions.

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Innovation on AWS brings hope for the future

The new platform brings substantial benefits to local communities and hope for the future economic well-being of the region affected by natural disasters including:

Reduction in disaster response costs (i.e., high cost of resources, mobilising rescue teams)
Reduction in community relocation and reconstruction costs
Minimising the economic and monetary impact on local businesses
Effective budget planning, resource allocation and future investment planning for the construction of housing and infrastructure in areas less prone to natural disasters.