Google Cloud Platform > Case Studies > abastece-aí Enhances Analytics and Decision-Making Capabilities with Google Cloud Migration

abastece-aí Enhances Analytics and Decision-Making Capabilities with Google Cloud Migration

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Technology Category
  • Analytics & Modeling - Machine Learning
  • Infrastructure as a Service (IaaS) - Public Cloud
Applicable Industries
  • Education
  • Equipment & Machinery
Applicable Functions
  • Procurement
  • Product Research & Development
Use Cases
  • Inventory Management
  • Predictive Maintenance
Services
  • Cloud Planning, Design & Implementation Services
  • Training
About The Customer
abastece-aí is a fintech company that is part of Grupo Ultra. The company provides a wide array of products and benefits through its app, linked to the Km de Vantagens customer loyalty program. The app aims to increase purchasing power and make life easier for Brazilian vehicle owners. Customers can use the app to pay for gas at registered stations, earn points for the Km de Vantagens program, and trade them for benefits, coupons, or cashbacks. The company has a significant customer base of around 36 million registered customers and 220 employees throughout Brazil. Grupo Ultra, the parent company, has a presence in most of Brazil and seven other countries.
The Challenge
abastece-aí, a fintech company with over 36 million customers, was facing a significant challenge in its growth trajectory. The company lacked a structured data environment that could cross-reference data from various sources and analyze longer historical periods. This lack of a comprehensive data environment resulted in delays in data acquisition, hindering operations. The company also needed dashboards with automatic updates to streamline its operations. The company was in urgent need of a service provider that could offer a customizable solution and enhance the insights generated from its data. The requirements for the new service provider included lower deployment cost, shorter development time, improved scalability, a steeper learning curve for employees, and more tools for integrations.
The Solution
abastece-aí chose Google Cloud as its service provider based on its requirements. The migration to the public cloud and deployment began in January 2021 and was completed in May of the same year. Google Cloud’s team provided support throughout the process, helping deploy the best strategies and achieve a seamless execution. abastece-aí built its data analytics system in Google Cloud, consolidating information in a data lake based on BigQuery. The solution processes over 250 TB of data every month. Cloud Data Fusion was used to manage the database ingestion flows of the app and the company's customer loyalty program, Km de Vantagens. Vertex AI and its integration with the Python programming language facilitated the use of machine learning in the platform. The tools’ accessibility and easy interconnection allowed for testing new products and accelerating operational processes.
Operational Impact
  • The migration to Google Cloud significantly boosted abastece-aí’s performance in its strategic, analytic, and operational deliveries. The robust infrastructure and agile data query processing were key in this improvement. The company also benefited from automated dashboards, which provided specific views and analytics for each individual business area. The cross-referencing of transactional data from various sources increased the quality and speed of deliveries, as employees began taking more variables into consideration. This democratized data consumption inside the organization, leading to more accurate decision-making. The microservice architecture using manageable apps with easy interaction reduced the number of employees who had to focus on managing the infrastructure. The company plans to use more machine learning solutions with Vertex AI in the future, improving data exploration and model production.
Quantitative Benefit
  • Processes over 250 TB of data every month using BigQuery
  • Significant expansion of the Growth department
  • Automated dashboards that meet business areas’ analytics and management needs

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