data analytics
Operational stability for your Data Warehouse while you plan its modernization.
We maintain and optimize your current environment to ensure performance, availability, and business continuity, while supporting your transition to modern platforms such as Microsoft Fabric or Databricks.
A bridge to modernization: Every intervention generates knowledge and documentation that accelerates future migration to Fabric or Databricks, avoiding the need to start from scratch when the time comes.
As a result of our assessment, we deliver a clear and structured report, organized into four action phases:
BI and reporting processes depend on the DWH, making its availability essential.
Legacy platforms often accumulate fragile configurations, critical jobs, and poorly documented dependencies.
Knowledge of SSIS, SSRS, SSAS, and historical data models is often concentrated in only a few people.
Slow queries, lengthy ETL processes, and poor capacity management increase execution times and costs.
Reports, Power BI dashboards, and BI processes rely on the DWH; any outage directly impacts operations and decision-making.
Review of jobs, data loads, alerts, and capacity.
Analysis, resolution, and progress communication.
Support, troubleshooting, enhancements, and package optimization.
Query tuning, indexing, partitioning, and best practices.
Report maintenance, development, modifications, performance tuning, and permissions management.
Maintenance of multidimensional and tabular models, processing, and optimization.
Version control, deployment windows, and rollback planning
Component inventory, dependency mapping, and operational runbooks reusable for future migrations.
We ensure the availability and stability of your DWH through SLAs aligned with the criticality of each component and a proactive management approach. We also maintain up-to-date documentation and promote continuous improvement.
Clear recommendations with minimal business risk to help you move to Microsoft Fabric or Databricks when the time is right.
Architecture, components, data sources, and pain point analysis.
Definition of communication channels, permissions, monitoring, and criticality criteria.
Quick wins to reduce recurring issues and improve performance.
Continuous monitoring, maintenance, and incident resolution.
Root cause analysis, automation, hardening, and evolution roadmap.
We keep your current Data Warehouse running smoothly while preparing its path to modern data platforms.
Not necessarily. We can complement your team through a co-sourcing model or take full responsibility for operations, depending on your needs.
Yes. The same team that supports your legacy environment can design the transition plan to Fabric or Databricks and execute the migration in phases. This continuity of knowledge and context is one of our key advantages.