ETL & Data Integration
Integrate your data without friction or operational dependency: stable, controlled flows ready for advanced analytics.
Technologies and tools
We implement the best tools on the market to ensure stable, traceable, and business-ready data flows.
What is holding up your data operation?
With the wrong approach:
Fragile integrations that fail and generate constant rework
Manual processes that slow down access to critical information
Department of Key people without documentation or traceability
Errors that spread Between systems without control
Data that arrives Late or incomplete, By blocking reports and decisions
With the right approach:
Automated and stable flows with traceability and controlled retries
Quality integrated from the beginning, no errors that impact reports
Architecture aligned with business: Flexible, reusable, and ready to scale
Reduction of operational risk up to 30% less in data projects
Data available in time for Analytics, BI and AI models
We turn your integrations into a strategic advantage
ARCHITECTURE IN LINE WITH THE BUSINESS
We design reusable ETL/ELT patterns and standards that eliminate fragile dependencies.
AUTOMATED PIPELINES
We replace manual processes with orchestrated workflows that include monitoring, retries, and traceability.
Integrated Quality in the Flows
REDUCTION OF OPERATIONAL RISK
BASE FOR AI AND ADVANCED ANALYTICS
Reliable integrations that enable analytics, BI, and artificial intelligence models.
Up to 60% of the time in data projects is lost solving integration problems. Robust architecture turns fragile flows into a sustainable operational advantage.
WHAT WE DO
(in the order that really matters)
1. Business-aligned integration architecture
- Architecture design ETL/ELT
We define integration patterns, batch or near real-time loads, and reusable standards on Azure Data Factory, AWS Glue, or Google Cloud Dataflow. - Multi-source integrations
We connect ERP, CRM, legacy systems, Excel and SaaS platforms into a single integrated layer, eliminating silos and point-to-point connections. - Documented reference architecture
We deliver a reusable model that reduces operational risk and dependency on key personnel in new projects.
45%
Organizations with automated integrations reduce the time it takes to deliver critical information to the business by up to 45%.
McKinsey – Data Engineering
Success story: During a critical migration to a new ERP, we automate the data flows and apply quality controls in every pipeline.
Results: Guaranteed operational continuity, significant reduction of reprocesses and a reusable integration base for future initiatives.
2. Automation and orchestration of pipelines
➤ We replace manual processes with automated pipelines that guarantee availability, traceability, and less reliance on technical staff.
- Pipeline batch and near real-time
We implement automated orchestration using Azure Data Factory, AWS Step Functions, or Google Cloud Composer, ensuring that the data arrives complete and on time. - Monitoring and alerts
We enable traceability, controlled retries, and automatic alerts to detect failures before they impact the operation. - Reduction of manual processes
We replace fragile integrations and manual tasks with documented, reusable flows that rely less on key personnel.
Success story: A corporate organization with multiple legacy systems had manual integrations that consumed time for the technical team. We automated their workflows with orchestrated pipelines and continuous monitoring.
Results: Reduction of operational rework and standardization of integrations that enabled subsequent analytical consumption.
45%
Organizations with automated pipelines reduce operational rework caused by manual or fragile integrations by up to 45%.
McKinsey – Data Engineering
3. Integration with quality control and governance
➤ We incorporate quality validations and business rules directly into the data flows to prevent errors from spreading between systems.
- Quality controls in the flow
We integrate automatic validations of completeness, uniqueness, consistency, and validity directly into the pipelines. - Early detection and correction
We identify errors at early stages of the process, preventing them from spreading to target systems or impacting critical reports. - Integrated data government
We establish lineage, permits, and compliance rules within the flows, ensuring end-to-end traceability.
50%
Organizations that integrate quality controls into their workflows reduce more than 50% of errors in downstream systems and reports.
Gartner – Data Quality & Integration
Success story: During a complex integration process with multiple source systems, we implement automatic validation controls at every stage of the pipeline.
Results: Lower incidence of errors in destination systems, Greater confidence in the information and reduction of subsequent manual corrections.
HOW DO WE DO IT?
- Diagnosis of current flows and integrations
We identify gaps, weak dependencies, and bottlenecks in your current integrations. - Architecture design ETL/ELT
We define patterns, standards, and tools aligned with your technology stack and scale needs. - Implementation with quick wins
We prioritize the most critical flows to deliver value quickly and reduce risk from the very first weeks. - Evolution towards quality, governance and advanced analytics
We are expanding the architecture with quality controls, governance, and the enablement of BI and AI in a progressive manner.
We do this so that your Integration architecture is an operational advantage, Not a constant source of errors and rework.
RESULTS
that speak for themselves
Organizations with automated integrations reduce the time to deliver critical information by up to 45% and improve trust in their reports by more than 50%. McKinsey, Gartner
%
less time for critical information to be delivered
%
reduction of operational rework
%
less errors in reports and destination systems
%
risk reduction in integration projects
Why us?
At Grupo Scanda we build data integrations that work in the real world. We don't make fragile connections: we design Robust, documented, and scalable ETL/ELT architectures that support the operation and enable advanced analytics.
Proven experience:
Success stories of data integration from ERPs, CRMs and legacy systems in banking, retail, manufacturing and distribution.
Leading tools:
Azure Data Factory, AWS Glue, Google Cloud Dataflow, Talend, Pentaho, and native services from each cloud depending on the client's stack.
Reusable methodology:
We deliver documented, reusable ETL components that reduce risk in future projects.
Comprehensive view of data:
We integrate quality and governance directly into the flows, ensuring trust in end-to-end information.
Ready to boost your business?
We have the solution for youContact by telephone
(55) 1251-2700
Location Mexico City
Miguel Laurent #804, Col. Letrán Valle, Alc. Benito Juárez
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