With over 25 years of embedded technology, Datacare has been perfected to handle large volumes of data with extremely high reliability and performance.
Datacare is the most powerful platform for data management and quality in the Brazilian market. It was developed following concepts from the Chief Data Officer & Information Quality Program (CDOIQ) at MIT. These are extremely high-level standards used by partner companies, governments, and universities worldwide.
Complete Flow from Collection to Consumption
Datacare collects diverse data through streaming, transactions, or files. It maintains the history, standardizes, consolidates, and prepares the data as needed, saving users effort, who can use both the original and treated data. Additionally, the platform provides understanding, diagnosis, and management of data integrity throughout its lifecycle.
Thorough End-to-End Processing
Datacare validates, enhances, and enriches data, eliminating duplicates and creating a consolidated base with master data and a 360-degree view of customers, suppliers, and collaborators. It prepares and delivers data for each use, connecting to the tools your company uses.
Data Intelligence Engine
Datacare’s data processing is orchestrated by its intelligent engine, comprised of a toolbox with hundreds of native functions that use business rules configurable by the company, proprietary enrichment databases, and artificial intelligence for continuous improvement.
Metrics Monitoring Cockpit
Datacare offers a monitoring cockpit for data governance. It is possible to configure dashboards with data quality metrics and statistics of treatment processes, with exception alerts. The cockpit shows the evolution of data quality and the performance of overall treatment flows.
Self Service BI
Datacare offers a Self Service BI environment that allows for data visualizations stimulating real-time insights and instant analyses, accessible on both desktops and mobile devices. The platform provides support to teams to promote a measurable impact on businesses.
Data Science
Development, monitoring, and visualization of AI/ML models in an interactive and secure environment, with performance tracking and deviation detection. This integrated approach provides teams with powerful real-time insights.
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
- Understanding customer journey and enhancing their experience
- Identifying sales opportunities, upsell, and cross-sell
- Gaining insights for new products and services
- Agile response across all channels
- Understanding, diagnosing, recovering, and managing data integrity throughout its lifecycle
- Aligning data management efforts with the needs of end users, both internal and external
What does Datacare provide?
- Integration of information from all channels into a single platform
- Gathering of demographic, behavioral, and transactional data
- Ease of analysis and extraction of insights
- Sharing of treated and validated information throughout the entire company
of innovation and technology
of data management and quality
of unique records in our customers’ bases
of managed data records
Get your questions answered
Talk to one of our consultants about how to increase the quality
and availability of your data across your enterprise.