Data Governance
WE SHAPE YOUR DATA INTO AN ASSET YOUR BUSINESS CAN RELY ON
Mapping and consolidating existing data sources
Organizing data from spreadsheets, operational tools, and legacy systems
Establishing a Single Source of Truth (SSOT) for business data
Designing unified data models and structures
Building scalable data architectures for reporting and analytics
Integrating legacy systems with modern data platforms
Defining consistent business metrics and data definitions
Implementing data quality validation and monitoring
Governing datasets used in reports and dashboards
Ensuring traceability of KPIs and business metrics
Documenting data assets and business logic
Managing data lifecycle and dataset ownership
Defining data access policies and governance models
Implementing role-based access control for data and reports
Classifying and protecting sensitive data
Establishing secure data sharing practices
Defining data retention and deletion policies
Supporting regulatory compliance (e.g. GDPR, NIS2)
Integration with existing tools and systems
(Excel, legacy software, internal databases)
Cloud and hybrid infrastructure
(AWS, Azure, on-premise and VPS environments)
(MongoDB Atlas, PostgreSQL, MySQL, MS SQL)
Operational and analytical data platforms
Reporting and analytics platforms (Power BI)
Data storage and analytics services (AWS S3, Redshift, Athena)
Data governance and catalog services
(AWS Glue Data Catalog, Lake Formation)
Mapping and consolidating existing data sources
Organizing data from spreadsheets, operational tools, and legacy systems
Establishing a Single Source of Truth (SSOT) for business data
Designing unified data models and structures
Building scalable data architectures for reporting and analytics
Integrating legacy systems with modern data platforms
Defining consistent business metrics and data definitions
Implementing data quality validation and monitoring
Governing datasets used in reports and dashboards
Ensuring traceability of KPIs and business metrics
Documenting data assets and business logic
Managing data lifecycle and dataset ownership
Defining data access policies and governance models
Implementing role-based access control for data and reports
Classifying and protecting sensitive data
Establishing secure data sharing practices
Defining data retention and deletion policies
Supporting regulatory compliance (e.g. GDPR, NIS2)
Integration with existing tools and systems
(Excel, legacy software, internal databases)
Cloud and hybrid infrastructure
(AWS, Azure, on-premise and VPS environments)
(MongoDB Atlas, PostgreSQL, MySQL, MS SQL)
Operational and analytical data platforms
Reporting and analytics platforms (Power BI)
Data storage and analytics services (AWS S3, Redshift, Athena)
Data governance and catalog services
(AWS Glue Data Catalog, Lake Formation)
Mapping and consolidating existing data sources
Organizing data from spreadsheets, operational tools, and legacy systems
Establishing a Single Source of Truth (SSOT) for business data
Designing unified data models and structures
Building scalable data architectures for reporting and analytics
Integrating legacy systems with modern data platforms
Defining consistent business metrics and data definitions
Implementing data quality validation and monitoring
Governing datasets used in reports and dashboards
Ensuring traceability of KPIs and business metrics
Documenting data assets and business logic
Managing data lifecycle and dataset ownership
Defining data access policies and governance models
Implementing role-based access control for data and reports
Classifying and protecting sensitive data
Establishing secure data sharing practices
Defining data retention and deletion policies
Supporting regulatory compliance (e.g. GDPR, NIS2)
Integration with existing tools and systems
(Excel, legacy software, internal databases)
Cloud and hybrid infrastructure
(AWS, Azure, on-premise and VPS environments)
(MongoDB Atlas, PostgreSQL, MySQL, MS SQL)
Operational and analytical data platforms
Reporting and analytics platforms (Power BI)
Data storage and analytics services (AWS S3, Redshift, Athena)
Data governance and catalog services
(AWS Glue Data Catalog, Lake Formation)
DON'T SEE WHAT YOU NEED? WE'LL CHECK IN THE BACK.
If these are not the services you are looking for…
we will take care of it for you.
OUR PRODUCTS
2026
NEXAI Sp. z o.o.
VAT EU: PL7831734317
KRS: 0000961925
Szelągowska 27 61-626 Poznań, Poland, EU
OUR PRODUCTS
2026
NEXAI Sp. z o.o.
VAT EU: PL7831734317
KRS: 0000961925
Szelągowska 27 61-626 Poznań, Poland, EU
Data Governance
WE SHAPE YOUR DATA INTO AN ASSET YOUR BUSINESS CAN RELY ON
Mapping and consolidating existing data sources
Organizing data from spreadsheets, operational tools, and legacy systems
Establishing a Single Source of Truth (SSOT) for business data
Designing unified data models and structures
Building scalable data architectures for reporting and analytics
Integrating legacy systems with modern data platforms
Defining consistent business metrics and data definitions
Implementing data quality validation and monitoring
Governing datasets used in reports and dashboards
Ensuring traceability of KPIs and business metrics
Documenting data assets and business logic
Managing data lifecycle and dataset ownership
Defining data access policies and governance models
Implementing role-based access control for data and reports
Classifying and protecting sensitive data
Establishing secure data sharing practices
Defining data retention and deletion policies
Supporting regulatory compliance (e.g. GDPR, NIS2)
Integration with existing tools and systems
(Excel, legacy software, internal databases)
Cloud and hybrid infrastructure
(AWS, Azure, on-premise and VPS environments)
(MongoDB Atlas, PostgreSQL, MySQL, MS SQL)
Operational and analytical data platforms
Reporting and analytics platforms (Power BI)
Data storage and analytics services (AWS S3, Redshift, Athena)
Data governance and catalog services
(AWS Glue Data Catalog, Lake Formation)
Mapping and consolidating existing data sources
Organizing data from spreadsheets, operational tools, and legacy systems
Establishing a Single Source of Truth (SSOT) for business data
Designing unified data models and structures
Building scalable data architectures for reporting and analytics
Integrating legacy systems with modern data platforms
Defining consistent business metrics and data definitions
Implementing data quality validation and monitoring
Governing datasets used in reports and dashboards
Ensuring traceability of KPIs and business metrics
Documenting data assets and business logic
Managing data lifecycle and dataset ownership
Defining data access policies and governance models
Implementing role-based access control for data and reports
Classifying and protecting sensitive data
Establishing secure data sharing practices
Defining data retention and deletion policies
Supporting regulatory compliance (e.g. GDPR, NIS2)
Integration with existing tools and systems
(Excel, legacy software, internal databases)
Cloud and hybrid infrastructure
(AWS, Azure, on-premise and VPS environments)
(MongoDB Atlas, PostgreSQL, MySQL, MS SQL)
Operational and analytical data platforms
Reporting and analytics platforms (Power BI)
Data storage and analytics services (AWS S3, Redshift, Athena)
Data governance and catalog services
(AWS Glue Data Catalog, Lake Formation)
Mapping and consolidating existing data sources
Organizing data from spreadsheets, operational tools, and legacy systems
Establishing a Single Source of Truth (SSOT) for business data
Designing unified data models and structures
Building scalable data architectures for reporting and analytics
Integrating legacy systems with modern data platforms
Defining consistent business metrics and data definitions
Implementing data quality validation and monitoring
Governing datasets used in reports and dashboards
Ensuring traceability of KPIs and business metrics
Documenting data assets and business logic
Managing data lifecycle and dataset ownership
Defining data access policies and governance models
Implementing role-based access control for data and reports
Classifying and protecting sensitive data
Establishing secure data sharing practices
Defining data retention and deletion policies
Supporting regulatory compliance (e.g. GDPR, NIS2)
Integration with existing tools and systems
(Excel, legacy software, internal databases)
Cloud and hybrid infrastructure
(AWS, Azure, on-premise and VPS environments)
(MongoDB Atlas, PostgreSQL, MySQL, MS SQL)
Operational and analytical data platforms
Reporting and analytics platforms (Power BI)
Data storage and analytics services (AWS S3, Redshift, Athena)
Data governance and catalog services
(AWS Glue Data Catalog, Lake Formation)
DON'T SEE WHAT YOU NEED? WE'LL CHECK IN THE BACK.
If these are not the services you are looking for…
we will take care of it for you.
OUR PRODUCTS
2026
NEXAI Sp. z o.o.
VAT EU: PL7831734317
KRS: 0000961925
Szelągowska 27 61-626 Poznań, Poland, EU