Data and Analytics
Successful decisions depend on sound data as a basis; Digievo provides them solid, safe and reliable.

Design the future by deepening your data analysis

 

Data and analytics

DATA STRATEGY

It is the planning and execution of approaches to collect, store, manage and analyze data.

Data and analytics

DATA ARCHITECTURE

It refers to the design, structuring and organization of data into systems. 

Business Intelligence

DATA ENGINEER

Implement fundamental structuring actions for the strategic use of data.

Data and analytics

DATA VISUALIZATION DATA LAKE AND DATA WAREHOUSE

It is a centralized repository that stores raw data in its natural form…

Data and analytics

DATA INTEGRATIONS AND MIGRATIONS

The process of transferring, combining, and synchronizing data between different systems.

Data and analytics

DATA MINING AND MACHINE LEARNING

Technique of exploring large data sets to identify patterns and trends…

Data and analytics

DATA PLATFORMS

Develop solutions that allow you to consume, store, process and integrate diverse data services, adopting a continuous delivery mindset

Data and analytics

DATA GOVERNANCE AND SECURITY

They refer to the management, protection and guarantee of the integrity and privacy of business information.

Data Strategy

Data Strategy is the planning and execution of approaches to collecting, storing, managing and analyzing data. A well-defined data strategy enables companies to make more informed decisions, optimize operations and create innovative opportunities based on valuable insights.

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Data Engineering

Data Engineering involves the design and construction of systems and infrastructures to collect, store and analyze data. By optimizing these architectures, companies ensure faster and more reliable analysis, basing decisions on accurate data and sustaining insight-driven innovations.

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Data Architecture

It refers to the design, structuring and organization of data into systems. By establishing a solid data architecture, companies can ensure faster access, data integrity, and more accurate, informed decision-making.

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Data Lake and Data Warehouse

Data Lake is a centralized repository that stores raw data in its natural form, while Data Warehouse organizes structured data for efficient analysis and reporting. Together, they enable companies to effectively store, access and analyze large volumes of data, supporting informed decisions and valuable insights.

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Integrations and Data Migration

Data Integrations and Migration involve the process of transferring, combining and synchronizing data between different systems. By optimizing such processes, companies ensure consistency of information, better collaboration between departments and more accurate decisions based on unified data.

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Data Mining and Machine Learning

Data Mining is the technique of exploring large sets of data to identify patterns and trends, while Machine Learning allows systems to learn and improve from this data. Both practices enable companies to obtain deep insights, optimize operations and predict future trends, strengthening data-driven decision making.

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Data Governance and Security

Data Governance and Security refers to the management, protection and guarantee of the integrity and privacy of business information. By implementing robust practices in this area, companies strengthen stakeholder trust, ensure regulatory compliance and minimize risks associated with data leaks or misuse.

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Common questions:

 

A well-defined data strategy aligns information collection, storage, and analysis with business objectives. This allows for accurate insights, agility in decision-making and a clearer view of market trends, giving the company a substantial competitive advantage.

A well-designed data architecture facilitates the integration of heterogeneous data sources, streamlining analysis processes and reducing the time needed for insights. This agility allows IT and business teams to collaborate more effectively, adopting new technologies and exploring innovation opportunities based on trusted data.

A robust data governance and security strategy ensures that data is treated in accordance with current regulations, protecting the company from legal and reputational risks. Furthermore, it promotes transparency in the use of data, increases stakeholder trust and allows the secure sharing of sensitive information between teams and partners.

 

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Data and Analytics

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