BUSINESS INTELLIGENCE
Data Integration and Modeling (ETL/ELT)
We unify your data from multiple sources with ETL/ELT processes and model it so that your reports are reliable, fast, and consistent.
What is Data Integration and Modeling (ETL/ELT)?
The quality of your reports depends on the quality of the data underneath. If each source says one thing and the data is dirty or duplicated, no dashboard will be reliable. That is why the work of integration and modeling is the foundation of Business Intelligence.
We design and implement ETL/ELT processes that extract data from your sources (ERP, CRM, Excel, databases, APIs), clean and transform it, and load it into a coherent data model. We use tools such as Azure Data Factory, Microsoft Fabric, and SQL, creating a dimensional model optimized for analysis.
The result is a single source of truth, with clean, consistent, and organized data, on which your reports and dashboards run fast and reliable.
FEATURES
Features of Data Integration and Modeling (ETL/ELT)
Data Extraction (E)
Connection and reading of data from ERP, CRM, databases, APIs, CSV/Excel files and cloud services.
Transformation (T)
Cleansing, validation, normalization, calculations, and business rules to turn raw data into reliable information.
Load (L)
Write the transformed data to the Power BI data warehouse, data lakehouse, or semantic model.
Dimensional modeling
Design of fact and dimension tables (star schema, snowflake) optimized for analysis and reporting.
Azure Data Factory
Orchestration of data pipelines in the cloud with native connectors, triggers, and monitoring.
Microsoft Fabric Dataflows
Low-code transformations within the Fabric ecosystem for scenarios that require unified governance.
Data quality
Validation rules, anomaly detection, and alerts when data does not meet defined standards.
Model documentation
Dictionary of data, lineage, and documentation of each table, field, and metric for maintainability.
TECHNOLOGIES
- Python
- PostgreSQL
- Microsoft SQL Server
- Power BI
- Microsoft Fabric
- Azure Synapse Analytics
- Azure Data Factory
FREQUENTLY ASKED QUESTIONS
Frequently asked questions about Data Integration and Modeling (ETL/ELT)
Dashboards and dashboards with Power BI
Design and development of interactive dashboards with Power BI: we connect your data sources, model the information and create clear dashboards with the KPIs that move your business.
Learn more →Data warehouse and data architecture
Design and deploy data warehouses and modern data architectures with Microsoft Fabric, Azure Synapse, and SQL Server to centralize your insights and feed your analytics.
Learn more →Automated reports and KPIs
Automation of periodic reports and KPI monitoring with Power BI and Microsoft tools: distribution by email or Teams, alerts and subscriptions without manual intervention.
Learn more →Predictive and advanced analytics
Forecasting models with Python, machine learning, and Power BI to anticipate trends, demand, risk, and behaviors based on your historical data.
Learn more →Migration from Excel to Business Intelligence
We turn your Excel sheets into a professional BI environment with Power BI: automation, consistent data model, permissions, and removal of runaway versions.
Learn more →Power BI embedded in your apps
Integration of Power BI dashboards within your web applications, customer portals, and SaaS platforms with Power BI Embedded and per-tenant security.
Learn more →Data governance and quality
We define ownership, semantic governance, quality rules and access policies so that your data is reliable, traceable and has a clear owner.
Learn more →Power BI and data culture training
Hands-on in-company training in Power BI, DAX, data modeling, and data culture for your team to gain autonomy and make decisions based on reliable information.
Learn more →