EN 
PT 
ES 
data management and governance
Transform your company's data into a competitive advantage:
Gerenciamento de dados é a disciplina que define como a informação de uma empresa é coletada, armazenada, integrada e disponibilizada para análise. Reúne arquitetura, engenharia e governança. Sem as três, o dado existe mas não chega confiável a quem decide.
Discover how data management and governance can boost your company's success!
1. Data Architecture
A arquitetura de dados define como os dados são coletados, armazenados, processados e acessados dentro da empresa. É a camada que determina se a informação vai estar organizada e integrada ou espalhada em silos.
Defines how data is collected, stored, processed and accessed within a company.
It is essential to ensure that data is managed efficiently, securely and reliably, allowing for good data design.
Understand the benefits:
- Organization and integration: Structure and integrate data for powerful insights and informed decision making
- Fast and reliable access: Access data in an agile, reliable and secure way to boost company efficiency;
- Scalability and flexibility: Easily grow and adapt to data demands, ensuring business agility;
- Security and compliance: Protect data from threats and comply with data protection regulations;
- Analytics support and insights: Explore data with advanced analytics to identify patterns, trends and business opportunities.
2. Data Engineering
A engenharia de dados constrói e mantém os sistemas que processam e armazenam grandes volumes de informação. É o trabalho que garante que o dado chegue completo, consistente e no tempo certo para a análise.
Development and management of systems and infrastructure to process, store and manage large volumes of data.
Understand the benefits:
- Accurate and reliable data: Ensure data quality, making it accurate, complete and consistent;
- Data-driven decisions: Access data for analysis and informed decisions, driving business success;
- Efficient collaboration: Create a shared infrastructure to facilitate collaboration between data teams;
- Differentiated innovation: Develop innovative data solutions to stand out in the competitive market;
- Efficiency and cost reduction: Automate processes and optimize data resources, reducing costs and increasing efficiency.
3. Data Visualization
A visualização de dados transforma números em painéis que permitem acompanhar indicadores em tempo real. Serve para tornar comunicável uma informação complexa, encurtando o caminho entre o dado e a decisão.
Development of different visualizations and dashboards for real-time monitoring of different areas and indicators
of your business.
Crucial for decision making within any modern company.
Understand the benefits:
- Effective communication of complex information: Simplifies complex data for easier understanding;
- Data-driven decision making: Provides quick and relevant insights for strategic decisions;
- Identification of opportunities and problems: Allows you to identify opportunities and problems quickly;
- Engagement and information sharing: Engages teams and facilitates the sharing of relevant information;
- Detection of hidden patterns and trends: Reveals valuable insights by identifying patterns and trends.
How can automation help your company?
Em ambientes de dados, a automação cobre aplicação de patches, resposta a alertas de segurança e provisionamento de recursos em nuvem. Tira da equipe a tarefa repetitiva e reduz a janela em que uma vulnerabilidade fica aberta.
Security Management
Automate tasks such as patching, vulnerability and data loss prevention.
Monitoring and Alerts
Automate alerts and responses to possible problems or cyber threats, acting proactively, protecting the company's systems and data.
Cloud Automation
Automate cloud infrastructure deployments, ensuring consistency, security and efficiency in implementations.
Code Management
Automate deployment in the development pipeline, testing and code integrations and the entire creation process.
Data processing
Automate data collection, transformation and analysis, providing real-time actionable insights.
Inventory Management
Automate stock monitoring, automatic replenishment and inventory control, optimizing resource management.
Expense Management
Automate expense approval and recording, increasing compliance and streamlining the reimbursement process.
Scheduling and Reservations
Automate meeting scheduling, resource reservations and room management, simplifying internal coordination.
Become a Data-Driven company and achieve extraordinary results.
Data silos, slow queries, and lack of governance compromise decision-making. In a free assessment, we evaluate your company's data architecture and show you where to gain in performance, cost, and reliability.
Integrity specializes in the most used solutions on the market
Why is Integrity-UX your ideal partner?
Specialized team
Specialists responsible for planning and migrating highly complex environments, ensuring greater security for your data and applications.
Successful projects
There are more than 200 projects delivered offering complete and cost-reducing solutions for our customers. Always focused on the solution for the customer.
More than 10 years on the market
The national reach of our solutions was achieved with solidity, continuous improvement and attention to the constant innovation needs of our customers.
Microsoft Partner
Here you will have the expertise of a company that has Microsoft as a partner, with all the knowledge in the solutions found in Microsoft Azure.
Some companies that are with us
Perguntas frequentes sobre Gerenciamento de Dados
É a disciplina que define como os dados de uma empresa são coletados, armazenados, integrados e disponibilizados para análise. Reúne arquitetura, engenharia e governança de dados, garantindo que a informação certa chegue de forma segura e confiável a quem precisa decidir.
A arquitetura define a estrutura: onde e como os dados ficam, os padrões e as regras de integração. A engenharia constrói e opera essa estrutura, criando os pipelines que processam grandes volumes e mantêm os dados prontos para uso.
Significa usar dados como base para as decisões do negócio, no lugar da intuição. Na prática, exige dados organizados, confiáveis e acessíveis, além de análises que transformam esses dados em informação útil para cada área.
A Integrity-UX trabalha com as soluções mais adotadas no mercado, como Databricks, Apache Spark, Azure Synapse, Azure Data Factory, AWS Glue, Apache Airflow e Kafka, escolhendo a combinação certa para o ambiente de cada cliente.
O ponto de partida é entender o momento e os objetivos da empresa. A Integrity-UX faz um diagnóstico do ambiente atual, identifica prioridades e propõe um plano de arquitetura, engenharia e governança adequado à realidade do negócio.