Metrica Software, a provider of production-grade Power BI connectivity for enterprise systems, reports that enterprise analytics teams are increasingly moving away from custom-built integrations between their operational systems and Power BI, replacing them with purpose-built connectivity models that are designed for long-term operation. The shift, which Metrica Software observes across industries and system environments, reflects a growing recognition that custom integration was never the right foundation for analytics infrastructure that needs to work reliably every day.
Enterprise organizations typically arrive at Power BI through a deliberate choice. Their operational platforms, whether ERP, CRM, or other core systems, hold critical business data but were not designed to serve as analytics environments. Power BI provides the reporting and intelligence layer that sits across all of them, enabling teams to combine data from multiple sources into a single view that no individual operational system can produce on its own. It is a sound architectural decision.
The challenge has always been the integration work that makes it function.
The most common approach has been to build that integration through custom ETL pipelines, scripted data extracts, or scheduled export jobs. These get operational data into Power BI, and for a period they work well enough. The problems emerge over time. Enterprise platforms release updates continuously, changing APIs, modifying schemas, and shifting the structure of the data that downstream integrations depend on. Every such change is a potential break point. The engineering effort required to keep a hand-built integration current as source systems evolve is not a one-time cost; it compounds as the number of systems, reports, and users grows.
Metrica Software reports that this compounding maintenance burden is the primary factor driving enterprises to reconsider their integration approach. The economics become visible at scale. When an analytics program is small, the cost of maintaining a custom pipeline is manageable. When it has grown to support dozens of reports, hundreds of users, and multiple source systems, the same pipeline demands continuous attention that pulls engineering resources away from work that actually advances the business.
The no-code connectivity models that enterprises are moving toward address this by treating the integration layer as a product responsibility rather than an internal engineering one. Metrica Software’s connectors for enterprise operational systems, including the Power BI Connector for SAP [https://metricasoftware.com/power-bi-connector-for-sap/] and the Power BI Connector for Salesforce [https://metricasoftware.com/power-bi-connector-for-salesforce/] are built on the principle that connectivity between operational systems and Power BI should be stable by design, absorbing platform changes at the product level rather than requiring downstream rework each time a source system evolves. Both connectors are designed for enterprise data volumes, preserve the relational structure of source data without forcing denormalization, and enforce source system access control consistently in Power BI consumption.
“The pattern we see is consistent regardless of which systems an enterprise is running,” said Anton Storozhuk [https://www.linkedin.com/in/antonstorozhuk/], CEO and Founder of Metrica Software. “Custom integrations are built for a moment in time. Enterprise platforms do not stay still, and neither do the analytics programs built on top of them. At some point the cost of keeping a hand-built integration current becomes impossible to justify, and that is when organizations start looking for a model that was actually designed to last. That shift is happening much faster now than it was two or three years ago.”
For enterprise analytics teams, the practical implication is that the choice of integration approach is also a choice about how much ongoing engineering the analytics program will require to remain functional. Purpose-built connectivity shifts that burden to the connector vendor, allowing internal teams to focus on what the data is used for rather than on keeping the data flowing. For more insights on enterprise Power BI connectivity, visit the Metrica Software blog [https://metricasoftware.com/blog/].
Company: Metrica Software Inc.
Address: 9353 Tangerine Coast Dr, Boca Raton, FL 33434, United States
Press Contact:
Anton Storozhuk
CEO and Founder, Metrica Software Inc.
a.storozhuk@metricasoftware.com
metricasoftware.com
Metrica Software is a provider of production-grade Power BI connectivity for enterprise systems. The company develops purpose-built connectors for SAP and Salesforce environments, designed for large datasets, complex schemas, and long-term operation in environments where analytics must be stable, governed, and performant at scale. Metrica Software is SAP- and Salesforce-certified, with connectors available on the SAP Store and Salesforce AppExchange.
This release was published on openPR.
