Data Readiness for Insights & AI

Past, present, and future  in integrated, reliable dashboards 

Make fast, competitive decisions while organizing and consuming strategic data for Artificial Intelligence initiatives.

Why is Data Readiness different from everything you know?

Native integration with leading ERPs in the Brazilian market

Lakehouse architecture on PostgreSQL

Ready-to-use themed dashboards

Ready-to-use

Everything you need today to make future-proof decisions 

For more than a decade, we have delivered advanced technologies to make sure you are ready for any future.

Connection and Ingestion

Information at the source, with no manual effort

Lakehouse and Governance

Organized, reliable, and scalable data

Automation and operational efficiency

Automation and operational efficiency

Themed dashboards

Ready-made indicators for a 360° business view

Turn data into reliable decisions

Structure, integrate, and prepare your data to generate consistent insights and power artificial intelligence initiatives with security and scale

Data Readiness is for you if:

Investing in useful, reliable, and scalable data is also a way of looking toward the future.

The experience of those who have seen the future change more than once

Wevy is the first Latin American multinational in cloud computing.

Compute

Digital infrastructure that delivers autonomy and predictability

Software Cloud Modernization

Software modernization platform with no refactoring

Managed Services

Monitoring, support, and sustainment for critical infrastructures

Data & AI - AI no-code

Custom dashboards and enterprise apps built from simple prompts

FAQ

Frequently Asked Questions

What is Lakehouse architecture, and why is it better than a traditional Data Warehouse?

A traditional Data Warehouse requires data to be structured before it is loaded, which results in fragile ETLs, high maintenance costs, and difficulty scaling. Lakehouse architecture — the foundation of Data Readiness — combines the flexibility of a data lake with the governance and performance of a warehouse, all built on PostgreSQL. That means fresher data, lower cost per gigabyte, and the ability to grow with operational volume — without surprises on the bill.

Global ETL tools like Fivetran rarely offer native connectors for Brazilian ERPs such as Protheus and Sankhya, and they charge in U.S. dollars based on data volume, which can make billing unpredictable in larger operations. Standalone BI solutions like Power BI, on the other hand, depend on a separate engineering project to bring the data in.

Data Readiness provides the full pipeline: ERP connection, automated pipeline, lakehouse, and dashboards — all managed as a service, without requiring the client to build and maintain that infrastructure on their own.

Data Readiness includes native connectors for the main ERPs in the Brazilian market, including Protheus, SAP, and Sankhya. After installation, the system reads directly from the client’s production database, with no need for extensive manual customization or changes to ERP operations. The process is transparent: pipelines are pre-configured for key business tables, and data starts flowing into the lakehouse within a few days.

Unlike traditional BI projects — which often take 4 to 8 months to deliver value — Data Readiness is a product with an automated data pipeline and pre-configured themed dashboards. In most cases, dashboards are up and running in days, not months. The client does not receive a blank screen; they receive real management indicators that are ready to use from the very first access.

Yes. The model was designed to grow with the company’s analytics maturity. Pricing is based on two simple criteria: the number of active dashboards and the monthly volume of data transferred. This means a company can start with up to 5 dashboards and a few gigabytes, then expand the contract as new areas are added to the data ecosystem, with no need for remigration or a platform switch.

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