How Emulus Consulting Modernized Enterprise Reporting with Pulse Convert: SSRS to Power BI Migration
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Emulus Consulting, a premier market research, data engineering, and business intelligence firm, partnered with Office Solution AI Labs to modernize its enterprise reporting infrastructure. Leveraging Pulse Convert — the enterprise BI migration and semantic modeling accelerator — Emulus migrated over 1,050 SQL Server Reporting Services (SSRS) reports (RDL files), shared datasets, and automated subscriptions to Microsoft Power BI. The project achieved 82% automated conversion accuracy, reduced overall migration effort by approximately 70%, and established modern, interactive, and Fabric-ready Power BI reporting in 14 weeks with zero operational disruption.
Case study at a glance
| Item | Detail |
|---|---|
| Client | Emulus Consulting, a Gurugram-based consultancy specializing in market research, data engineering & business intelligence |
| Website | https://www.emulus.co/ |
| Industry | Market Research, Data Engineering & Business Intelligence |
| Migration Type | SQL Server Reporting Services (SSRS) to Microsoft Power BI (Fabric-Ready) |
| Solution | Pulse Convert by Office Solution AI Labs |
| Objects Migrated | 1,050+ SSRS reports (RDL files), shared datasets (.rsd), data sources (.rds), report parameters, VB expressions, and subscriptions |
| Project Timeline | 14 weeks from discovery to production validation and handover |
| Automated Accuracy | 82% initial automated conversion pass (within proven 70–90% benchmark) |
| Effort Reduction | Approximately 70% reduction compared to pure manual rebuild |
| Target Architecture | Centralized Power BI semantic models (star schemas), interactive dashboards, Paginated Reports (.rdl), and Fabric OneLake alignment |
| Validation | Automated cell-by-cell numerical reconciliation, layout parity audits, and parallel run validation |
How we measure accuracy: The percentage of SSRS RDL XML definitions, shared dataset queries, stored procedures, expressions, parameters, and layout elements converted automatically into functional Power BI datasets and dashboards that pass validation without manual rework.
Executive Summary
Emulus Consulting successfully migrated its SQL Server Reporting Services (SSRS) reporting estate to Microsoft Power BI using Pulse Convert, the AI-powered migration accelerator from Office Solution AI Labs.
The project achieved 82% automated conversion accuracy, reduced overall migration effort by approximately 70%, and transformed static, parameter-driven reports into interactive, self-service Power BI solutions. The engagement was completed in 14 weeks while preserving critical business logic and improving accessibility.
The Challenge: Overcoming Static Reporting Constraints and Infrastructure Friction
Emulus Consulting had accumulated a large volume of SSRS reports to support internal operations and client deliveries. As the firm advanced its Microsoft Power BI and Fabric strategy, several limitations became evident:
Static, page-oriented reports with limited interactivity and drill-down capabilities
SSRS reports were designed for traditional banded printing, lacking dynamic cross-filtering, interactive brushing, responsive drill-through, and flexible slicing that modern analysts expect.
Heavy IT dependency for report changes and new development
Even simple modifications to report parameters, grouping, or tabular layouts required IT database developers to edit RDL XML files and stored procedures, slowing operational decision-making.
Complex stored procedures and report-level expressions that were difficult to maintain
Years of custom development produced heavily nested SQL stored procedures and complex Visual Basic (VB.NET) expressions embedded directly inside RDL files, creating obscure technical debt.
Challenges with mobile access, real-time insights, and modern collaboration
SSRS lacked responsive mobile layouts, real-time streaming capabilities, and native integration with modern collaboration channels like Microsoft Teams, Power Automate alerts, and SharePoint.
Growing maintenance overhead of the SSRS infrastructure
Maintaining on-premises SQL Server instances, Report Server execution logs, scale-out catalog databases, and dedicated subscription services generated high infrastructure overhead and licensing costs.
Desire to leverage Power BI's semantic models, row-level security, and Microsoft Fabric integration
The organization needed to consolidate fragmented queries into reusable, governed Power BI semantic models with unified Row-Level Security (RLS) aligned with Microsoft Fabric OneLake and Microsoft Copilot.
The Solution: Pulse Convert
Emulus partnered with Office Solution AI Labs and leveraged Pulse Convert to accelerate the SSRS to Power BI migration.
Pulse Convert incorporates specialized parsers and semantic mapping engines engineered specifically for SSRS Report Definition Language (RDL XML), shared datasets (.rsd), and relational data sources:
- Automated discovery and inventory of SSRS reports, shared datasets, and dependencies: Scanning SSRS ReportServer catalog databases, cataloging execution metrics, identifying active vs. inactive reports, and mapping underlying stored procedure dependencies.
- Intelligent extraction of queries, expressions, parameters, and layout logic: Ingesting RDL XML structures, parsing tabular tablix grids, matrices, subreports, and extracting embedded VB.NET expressions.
- Mapping of report logic toward Power BI semantic models and DAX measures: Refactoring repetitive SQL queries into standardized star schemas, centralizing business logic into governed DAX measures.
- Conversion support for both interactive dashboards and paginated-style reporting needs: Distinguishing between analytical reports best served by interactive Power BI dashboards and operational pixel-perfect reports transitioned to Power BI Paginated Reports (.rdl).
- Identification of consolidation opportunities to reduce report sprawl: Merging dozens of parameter-split SSRS reports into unified, dynamic Power BI reports using modern slicers, bookmarks, and drill-through pages.
- Alignment with Microsoft Fabric and modern Power BI best practices: Structuring semantic models for Fabric OneLake, Direct Lake mode compatibility, and automated Power Automate subscription workflows.
The platform delivered an initial conversion accuracy of 82%, allowing expert teams to focus on complex stored-procedure refactoring, data model optimization, and validation — consistent with the 70–90% accuracy range achieved across enterprise migrations.
Migration Approach & Timeline (14 Weeks)
The modernization was executed across four structured phases over a 14-week timeline, ensuring full governance, data integrity, and zero business interruption:
| Phase | Duration | Key Activities |
|---|---|---|
| Discovery & Rationalization | Weeks 1–2 | Full inventory of RDL files, usage analysis, obsolete report retirement, and complexity prioritization. |
| Automated Conversion & Mapping | Weeks 3–7 | Pulse Convert processing of reports and shared datasets, query extraction, and initial semantic model generation. |
| Rebuild, Optimization & Consolidation | Weeks 8–11 | Semantic model design, DAX development, visual redesign, parameter mapping, and performance tuning. |
| Validation, UAT & Handover | Weeks 12–14 | Functional testing, parallel validation, automated reconciliation, user training, and production cutover. |
Discovery & Rationalization
— Weeks 1–2Pulse Convert audited Emulus's SSRS Report Server catalogs, evaluating 1,050+ reports across departments. Analyzing execution logs identified that over 25% of reports were obsolete or duplicates, allowing Emulus to rationalize its reporting estate before migration.
Automated Conversion & Mapping
— Weeks 3–7Pulse Convert parsed RDL XML definitions, extracted SQL queries, stored procedures, and shared datasets, and automatically generated foundational Power BI semantic models and visual layouts.
Rebuild, Optimization & Consolidation
— Weeks 8–11BI engineers transformed complex SQL queries and VB.NET report expressions into high-performance DAX measures. Parameter-heavy SSRS reports were consolidated into interactive dashboards with intuitive slicers and cross-filtering.
Validation, UAT & Handover
— Weeks 12–14Executed automated parallel runs comparing SSRS query outputs against Power BI datasets cell-by-cell. Delivered user enablement workshops and completed full production cutover in 14 weeks.
Key Results
The migration of Emulus Consulting's SSRS reporting estate to Microsoft Power BI delivered measurable, enterprise-grade business outcomes:
- 82% conversion accuracy on the automated pass: Over 860 reports, datasets, and visual elements converted automatically without manual code rewriting.
- Approximately 70% reduction in overall migration effort: Completed in 14 weeks compared to an estimated 45+ weeks for a manual ground-up rebuild.
- Transformation of static SSRS reports into interactive Power BI dashboards: Replaced rigid paginated tables with rich, interactive visualizations, drill-downs, and real-time filtering.
- Significant reduction in IT dependency through self-service capabilities: Empowered analysts and business users to create custom views and ad-hoc reports independently.
- Improved report performance, mobile accessibility, and user experience: Optimized query execution and enabled seamless mobile reporting via Power BI Mobile apps.
- Clean semantic models ready for Microsoft Fabric integration: Centralized business metrics into governed semantic models aligned with OneLake and Microsoft Copilot.
- Lower long-term maintenance and infrastructure overhead: Decommissioned legacy SSRS instances, reducing on-premises database compute and administrative licensing expenses.
Business Impact: Empowering Enterprise Analytics Across Global Markets
By migrating from SSRS to Power BI with Pulse Convert, Emulus Consulting eliminated legacy reporting constraints, empowered business users with interactive analytics, and strengthened its ability to deliver modern Microsoft Power BI and Fabric solutions to clients across market research, FMCG, Pharma, and BFSI sectors.
Frequently Asked Questions
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