Power BI connectivity for enterprise systems
A reliable data layer between enterprise systems and Power BI, designed for large datasets, complex schemas, and ongoing platform change
Connects SAP and Salesforce data to Power BI analytics
SAP/Salesforce Certified
Enterprise Data Challenges We Solve
Fragile ETL pipelines
Custom ETL and scripted integrations require constant maintenance and break as source systems change.
Manual data exports
Scheduled exports and ad-hoc jobs do not scale and introduce delays, errors, and operational risk.
Data freshness under load
Full data reloads become impractical at scale; incremental updates are required to keep analytics current.
Schema change and platform evolution
Frequent schema and API changes disrupt downstream models and reporting.
Governance and performance at scale
Enterprise analytics requires strict access control and predictable performance under sustained Power BI workloads.
Enterprise Analytics Requires — We Provide
High-volume, relational datasets
Built for high-volume relational datasets and complex enterprise schemas – without forcing denormalization or oversimplified data models. Supports deep relationships, large tables, and production-grade query workloads while preserving analytical accuracy.
Stable access across platform changes
Enterprise platforms evolve constantly – schemas change, APIs version, and fields shift. Metrica absorbs these changes through a stable access layer so Power BI models and reports remain consistent, refresh reliably, and require minimal ongoing rework.
Governance and access control
Governance is built in – not bolted on. Data access follows enterprise security models (e.g., SAP and Salesforce) and supports fine-grained entitlements, least-privilege access, and policy-consistent consumption across Power BI reports, datasets, and users.
Predictable performance
Designed for predictable performance under real enterprise conditions: frequent refresh schedules, high concurrency, and sustained Power BI workloads. Ensures stable refresh behavior, consistent query latency, and reliable user experience as adoption grows.
Use Cases
Operational Reporting at Enterprise Scale
As Salesforce and SAP deployments grow, data volumes and relational complexity quickly exceed what manual exports, built-in connectors, or ad-hoc integrations can reliably support. Reporting becomes slow, inconsistent, and operationally expensive to maintain.
How Metrica solves it
Metrica introduces a controlled data layer between operational platforms and Power BI – designed for high-volume relational data. It supports incremental extraction, schema evolution, and enterprise security models, delivering predictable refresh performance while reducing ongoing integration and maintenance effort.
Continuous Analytics on Operational Data
In many organizations, analytics is no longer a periodic activity. Dashboards and reports are expected to reflect operational reality throughout the day, not just after overnight refreshes.
How Metrica enables continuous analytics
Metrica introduces a controlled data layer that supports frequent incremental refresh at scale. It reduces dependency on full reloads, improves refresh reliability, and ensures Power BI datasets remain current without compromising performance, governance, or operational stability.
Analytics Resilient to Platform Change
Enterprise platforms such as Salesforce and SAP evolve continuously. Schema changes, new fields, and API updates regularly invalidate existing models, refresh logic, and reports.
How Metrica handles schema evolution
Metrica provides a stable data access layer that absorbs schema and API evolution in source systems like Salesforce and SAP. It preserves compatibility for Power BI models and refresh logic, reducing downstream breakage and eliminating ongoing rework as platforms change.
Enterprise Governance for Operational Analytics
As analytics adoption expands, questions of data ownership, access control, and auditability become critical. Replicated datasets and custom pipelines often bypass source-system security models.
How Metrica enforces governance
Metrica introduces a controlled data layer that enforces governance at the point of access. It maintains alignment with native source-system security models (e.g., Salesforce and SAP), reduces proliferation of replicated datasets, and provides auditable, policy-consistent access for enterprise Power BI workloads.
Predictable Power BI Performance at Scale
Power BI environments serving executives and operational teams must perform consistently under concurrent usage, large models, and scheduled refresh cycles.
How Metrica delivers predictable performance
Metrica provides a production-grade data access layer optimized for Power BI workloads. It supports incremental refresh, predictable query execution, and stable behavior under concurrency – ensuring consistent report performance even with large models and sustained enterprise usage.
Why Metrica Software
Enterprise-scale analytics
Focused on how Power BI operates with Salesforce and SAP data at scale.
Built for long-term operation
Stable behavior across data growth, schema changes, and platform updates.
Low operational overhead
Reduces the need for custom pipelines and ongoing maintenance.
Production-first by design
Intended for environments where analytics must work every day.
MEET METRICA
Metrica Software: Production-grade connectivity for enterprise analytics
Reliable Power BI access to Salesforce and SAP data, engineered for long-term operation and enterprise workloads.
