Datacare

Discover a smarter way to handle data.

Over 25 years of embedded technology

Datacare has been perfected to handle large volumes of data
with the highest reliability and performance.

Datacare is a complete platform for organizing your data, refining it, and making it ready for the most diverse usages.

Complete Flow from Collection to Consumption

Datacare collects data from a variety of sources, streaming, transactional or bulk. It maintains the raw data history, performs its complete treatment and consolidation, and transforms it to the appropriate format for each usage scenario, saving your users the preparation effort. Whether in original or refined form, all data can be made available as needed.

Thorough End-to-End Processing

Datacare profiles the data, improves its quality, and enriches it with its own bases. It then matches duplicates and generates a consolidated base that allows you to manage master data and have a 360° view of your customers, suppliers, and employees. From this, it prepares and delivers the data for each kind of use, connecting to the most diverse data tools your company has.

Data Intelligence Engine

The data treatment is orchestrated by Datacare’s intelligence engine, composed of a library of hundreds of native functions for validation, standardization, and consolidation, which use configurable business rules according to the company’s needs, have their own enrichment bases, and employ artificial intelligence for continuous improvement.

State-of-the-art technology for data management and quality

Metrics Monitoring Cockpit

With Datacare, you have a metrics monitoring cockpit at your fingertips for effective data governance. In the cockpit, you can configure a set of dashboards that present data quality metrics and statistics on handling processes and services, with exception situation alerts. With the cockpit, you gain insight into the evolution of data quality and the performance of processing flows in general or by information source.

Knowledge and Evolution

In its more than 25 years of existence, Datacare has been used in hundreds of projects in different market segments. This variety of scenarios feeds back the solution with new demands and differentials, which guide the evolution of the platform. With an experienced and dedicated team, and constant investment in research and development, the new releases anticipate functionality needs and trends, keeping the platform state-of-the-art.

Connection and Integration

As a strategy to deliver increasingly complete solutions, Datacare implements mechanisms for integration and connection with other components. Machine learning models and functions from the numerous Python libraries can be orchestrated by the platform, in combination with its specialized functions. The execution and integration with native components from the major cloud services (Azure, GCP and AWS) are also part of the strategy to deliver extremely scalable and flexible solutions.

Governance and Quality

Developed in an adherent manner to the concepts and best practices of MIT CDOIQ methodology, Datacare offers complete tools for data quality management. With complete functions for validation, processing, and integration, especially for information from people and companies present in the Brazilian market, Datacare supports governance through data classification processes based on quality metrics and curation workflow that can combine automatic and manual tasks.

LGPD and Data Protection

Datacare provides full compliance with LGPD requirements. In addition to meeting strict security requirements, the solution classifies data as personal or sensitive personal, manages quality, and maps the origins of each individual’s data through record linkage, making it easy to locate quickly. Moreover, it has tools for anonymization and pseudonymization of data, allowing them to be used without identifying the holder in cases where this is required.

Microservices

Adherent to the various system architecture models, Datacare implements the configuration and publication of its data quality functions and business rules in the form of microservices. Also, the processing pipelines can deliver the data to messaging cluster topics, such as Apache Kafka, a component widely used in microservices architecture environments.

No-code: Freedom for the Business Team

The business user himself defines the business and data processing rules in Datacare, combining the numerous ready-made tools and creating his own, by means of a graphic and intuitive interface. Both massive data processes and microservices are configured and published without the need for programming. User-defined functions are organized in a centralized library for reuse in the multiple data streams.

Big projects on big brands

Datacare was created 25 years ago and is continuously receiving updates and innovations. It is a complete solution for data management and quality in the most varied formats, comprising the tasks of ingestion, validation, transformation, deduplication, consolidation, and preparation of the data for consumption.

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Get your questions answered

Talk to one of our consultants about how to increase the quality
and availability of your data across your enterprise.