Fixing the reporting bottleneck
Technology Record reports that Forefront operates more than 300 clinics across 30 states, supporting 700 clinicians. Acquisitions had left electronic health records, scheduling, finance and operations data fragmented. A central team maintained legacy SQL Server Integration Services (SSIS) and SQL Server Reporting Services (SSRS) workloads, while inconsistent provider, location and service-code definitions complicated reporting.
Forefront’s three-year strategy put infrastructure, security and governed data ahead of AI. OneLake subsequently brought the scattered information together, while Power BI gave clinic managers, finance staff and operations leaders self-service analytics. Much—not necessarily all—of the legacy reporting estate was retired.
The interpretation is straightforward: Forefront tackled both the reporting queue and the inconsistent definitions feeding it. Moving the same disagreements into a faster platform would merely have accelerated the argument.
Excel remains—but with rules
Microsoft describes a particularly useful implementation detail: a Power Platform master-data hub connected to Fabric, with Excel serving as the interface. Business teams edit provider, location and service-code records; the hub validates changes, applies governance rules and writes approved records back to Fabric.
That is not the same as making a spreadsheet the enterprise database. The architectural lesson is to distinguish a familiar editing surface from ownership and validation of the underlying records. For organizations considering similar projects, the useful question is not simply “Can we eliminate Excel?” but “Who can change these definitions, and what checks happen before those changes affect reporting?”
Identity and security were part of the project
According to Technology Record, infrastructure moved to Azure and identity consolidated on Microsoft Entra ID. Roughly 100 applications came under Conditional Access, Entra ID Protection and Identity Governance; Okta and a separate multifactor-authentication tool were retired. Purview supplied information-governance capabilities, while Sentinel centralized security signals. Forefront reports retiring three identity/security platforms overall, with lower licensing and operating costs.
Vendor consolidation, however, should not be confused with a published return-on-investment calculation.
Microsoft’s account does not disclose the reporting metric’s baseline, measurement period or calculation, nor quantify the financial savings. The 85% figure is a customer-reported outcome, not an independently audited benchmark or a forecast for other Fabric deployments.
What SSIS and SSRS administrators should take away
One important technical distinction deserves attention: replacing a combined SSIS/SSRS environment is not a single migration operation.
Microsoft’s migration documentation treats SSRS .rdl files as Power BI paginated reports. Its guidance distinguishes those print-oriented reports from interactive Power BI reports and requires assessment of unsupported features and data sources. Existing report servers can remain operational during migration. Fabric pipelines should therefore not be read as a one-for-one replacement for every reporting artifact.
For administrators assessing their own estate, Microsoft’s guidance highlights several concrete checks:
- Review report compatibility, rather than assuming every
.rdlfile will migrate unchanged. - Plan permissions and connectivity, including gateways for on-premises sources.
- Recheck identity-dependent filtering: the
UserIDfield returns a user principal name in the Power BI service rather than the Windows account-name format. - Validate credentials and performance after migration: the RDL Migration Tool does not finish data-source credential configuration.
These are migration considerations, not evidence that Forefront encountered those particular problems.
Copilot is the next phase, not the measured result
Forefront is deploying Microsoft 365 Copilot and Azure-based agents into clinical and back-office workflows. Broader Purview integration with Fabric remains planned, while Purview Data Security Posture Management for AI is already described as being used.
The architecture is also intended to accommodate future acquisitions. Neither that ambition nor the ongoing AI deployment establishes improved patient outcomes. The defensible takeaway is narrower—and useful: Forefront reports a substantial reporting-workload reduction after addressing integration, shared definitions and access together. Its experience is a reason to examine the foundations beneath enterprise AI, not a promise that purchasing the same product stack will reproduce the percentage.