DATA TESTING, MIGRATION, AND ANALYTICS
We protect your critical business information during integration, transformation, analysis, and technological change processes.
We protect your critical business information during integration, transformation, analysis, and technological change processes.
Data testing, migration, and analytics validate that information is correct, complete, consistent, and reliable when it is processed, transformed, integrated, migrated, or used to generate reports, indicators, and business insights. They are key in Business Intelligence (BI), Big Data, Data Analytics, management dashboards, predictive models, financial reports, payment gateways, systems modernization, cloud migrations, database changes, and enterprise integrations.
Does your information retain its quality when it is transformed, integrated, migrated, or converted into indicators for decision-making?
When data is not properly tested, duplicate, incomplete, corrupt, inconsistent, or poorly transformed records can appear. This can affect reports, dashboards, indicators, insights, operational processes, business decisions, customer histories, transactions, and business continuity.
With our data testing, migration, and analytics services, we validate the quality, integrity, consistency, traceability, and reliability of information before, during, and after each critical process. This reduces risks, protects business continuity, and strengthens confidence in the reports, systems, dashboards, and insights used for decision-making.
Scope of Service
Our service validates information from source to destination, ensuring that data retains its accuracy, structure, meaning, and analytical value throughout transformation, integration, migration, or analysis. This includes:
Data Quality Testing
Identification of duplicate, null, incomplete, inconsistent, or corrupted records.
ETL Testing
Validation of data extraction, transformation, and loading processes.
Business Rule Validation
Review of calculations, formulas, conversions, groupings, and data cross-referencing.
Data Integration Testing
Verification of information flow between systems, databases, APIs, reports, and analytics platforms.
Data Analytics and Insights Testing
Validation of dashboards, indicators, metrics, visualizations, executive reports, analytical models, and information used for decision-making.
Dashboard and BI Validation
Review of consistency between data sources, KPIs, filters, segmentations, trends, and results presented in analytics tools.
Migration Testing
Validation of data between source and target systems.
Pre-migration
Review of mapping, compatibility, structure, relationships, and data preparation.
Post-migration
Confirmation that records migrated correctly and that the new platform works with the legacy information.
Historical Data Validation
Review of old data, transactions, customers, purchases, movements, or critical records.
Rollback Testing
Verification of rollback scenarios to ensure that, in the event of a failure, the system can return to a stable state.
Findings and Reports
Evidence, metrics, discrepancies found, risks, and corrective recommendations.
Technology and Methodologies
We apply quality assurance methodologies focused on data, backend validation, ETL testing, migration testing, integration testing, data reconciliation, data profiling, data quality testing, BI testing, dashboard validation, and consistency analysis.
Our approach enables:
- Functional validations
- Technical review
- Test automation
- Data analysis
- AI-powered tools
We rely on criteria such as data integrity, completeness, accuracy, consistency, uniqueness, traceability, compatibility, source-destination validation, business rule control, indicator reliability, and insight coherence.
This allows us to deliver reliable information to technical teams, business leaders, data and analytics departments, and operations managers.
Is your data ready to be transformed, integrated, migrated, or used to make strategic decisions?
Before moving critical information, modernizing systems, or relying on new reports and insights, validate the quality, integrity, and consistency of your data.