Solution
We build your dealership's data architecture. Every source of information integrated, processed and available to power decisions with real data. Data ownership and regulatory compliance included.
What is a Data Lake and why do you need one?
Today your dealership's data is scattered: in John Deere's Operations Center, in your ERP, in Excel spreadsheets, in your best employees' heads. Each area runs its own source, with its own criteria, at its own pace.
A Data Lake is the architecture that brings all those sources together into a centralized, secure and scalable repository. It's not about storing data for its own sake: it's about integrating it, processing it and having it ready for artificial intelligence to turn into business decisions.
ALAS's Data Lake runs on Amazon Web Services with a serverless architecture (Lambda, S3, Athena, Glue) designed to scale without friction. Each dealership operates in a dedicated tenant with isolated data, its own configuration and controlled access.
What comes in, what goes out
Security & compliance
ALAS's Data Lake complies with data protection regulations in Argentina (Law 25.326), Paraguay (Law 6534/2020), Uruguay (Law 18.331) and Brazil (LGPD), with ISO/IEC 27001 and SOC 2 as international reference standards.
Each dealership is the Data Controller for its clients' data. ALAS acts as the Data Processor, under a formal data processing agreement (DPA) that guarantees full data ownership, 72-hour incident notification and complete data subject rights.
Your information is never shared between dealerships. Never used to train AI models. Never leaves AWS's secure infrastructure without your authorization.
Schedule a demo with our team and discover how to structure your dealership's data.