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Transform your company's data into a competitive advantage:
Data management is the discipline that decides how a company's information is collected, stored, integrated and made available for analysis. It brings together architecture, engineering and governance. Without all three, the data exists but does not reach the decision maker in a state anyone can trust.
Discover how data management and governance can boost your company's success!
1. Data Architecture
Data architecture sets how data is collected, stored, processed and accessed inside the company. It is the layer that decides whether the information ends up organized and joined up, or scattered across silos.
See what data governance is and how it relates to Brazil's data protection law.
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
Data engineering builds and maintains the systems that process and store large volumes of information. It is the work that makes sure the data arrives complete, consistent and in time to be analyzed.
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
Data visualization turns numbers into dashboards that let you follow indicators in real time. Its job is to make complex information communicable, shortening the distance between the data and the decision.
See what a data analytics consultancy does and when to hire one.
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?
In data environments, automation covers applying patches, responding to security alerts and provisioning cloud resources. It takes the repetitive work off the team and shortens the window in which a vulnerability stays open.
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 Integrity-UX is the right partner
Specialized team
Specialists responsible for planning and migrating highly complex environments, so your data and applications come out safer.
Successful projects
More than 200 projects delivered, with complete solutions that bring costs down for our clients. Always focused on the solution for the client.
More than 15 years in business
Managing mission-critical environments since October 2010, in Brazil and abroad. Experience across migrations, environment recovery and continuous operation at mid-sized and large companies.
Microsoft Partner
Here you work with a company that has Microsoft as a partner, with deep expertise in the solutions available in Microsoft Azure.
Some of the companies we work with
Frequently asked questions about data management
It is the discipline that decides how a company's data is collected, stored, integrated and made available for analysis. It brings together data architecture, engineering and governance, so the right information reaches the person who has to decide, safely and reliably.
Architecture defines the structure: where and how the data sits, the standards, and the rules for integration. Engineering builds and runs that structure, creating the pipelines that process large volumes and keep the data ready to use.
It means basing business decisions on data rather than on instinct. In practice that calls for data that is organized, reliable and reachable, plus analysis that turns it into something each department can actually use.
Integrity-UX works with the most widely adopted solutions, such as Databricks, Apache Spark, Azure Synapse, Azure Data Factory, AWS Glue, Apache Airflow and Kafka, picking the right combination for each client's environment.
The starting point is understanding where the company is and what it is after. Integrity-UX assesses the environment you have today, identifies the priorities, and proposes an architecture, engineering and governance plan that fits the business as it actually is.