How Emulus Consulting Migrated Oracle Analytics Cloud to Power BI with 72-88% Automated Accuracy
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Emulus Consulting LLP, a data analytics, research, software services, and Generative AI consultancy, partnered with Office Solution AI Labs to modernize its enterprise reporting stack. Leveraging Pulse Convert — the AI-powered BI migration accelerator — Emulus migrated Oracle Analytics Cloud (OAC) content to Microsoft Power BI across engagements ranging from 200 to 45,000 objects. Between 72% and 88% of the migration was automated, and 100% of objects were validated against their original OAC sources with zero operational disruption.
Case study at a glance
| Item | Detail |
|---|---|
| Client | Emulus Consulting LLP, a data analytics, research, software services, and Generative AI consultancy |
| Website | https://www.emulus.co/ |
| Industry | Data Analytics, Research, Software Services & Generative AI |
| Migration | Oracle Analytics Cloud (OAC) to Microsoft Power BI |
| Solution | Pulse Convert by Office Solution AI Labs |
| Scale | 200 to 45,000 objects across enterprise client workloads |
| Automated Accuracy | 72–88% automated migration accuracy |
| Engineer-Led Fine-Tuning | The remaining 12–28% complex calculations and edge cases |
| Validation | 100% source-to-target and functional comparison on every object |
| Target Architecture | Centralized Power BI semantic models (star schemas), interactive dashboards, and Fabric OneLake readiness |
How we measure accuracy: The percentage of OAC objects migrated automatically into working Power BI equivalents that pass source-to-target validation without manual changes.
The Challenge: There is No Built-in Path from OAC to Power BI
Power BI can connect to Oracle Analytics Cloud, but it does not convert OAC reports and dashboards for you. Teams that want to leave OAC, often because of licensing cost or a strategic move to the Microsoft ecosystem, face an arduous manual rebuild.
The semantic layer is the hard part
Business definitions, dimensional hierarchies, complex calculations, and multi-table relationships built in OAC's Common Enterprise Information Model (RPD) must be re-created in Power BI DAX and tabular models so numbers still match precisely.
Reports and dashboards must look and behave the same
Business users expect identical views, prompt filters, conditional formatting, and KPI calculations after the transition, without having to relearn analytical workflows.
Scale makes manual rebuild impractical
Rebuilding and testing hundreds or thousands of complex OAC analyses, prompts, and dashboard canvases by hand is extraordinarily slow, costly, and error-prone.
Numbers must be provable
Every migrated report needs rigorous checking against its source before users and compliance teams rely on it for executive decision-making.
Our Approach: Automate the Repeatable, Expert-Review the Rest
The modernization was executed through Pulse Convert's structured 4-step framework, combining high-speed AI automation with certified BI engineering oversight:
| Step | Phase | Key Activities |
|---|---|---|
| 01 | Automated Discovery and Assessment | Pulse Convert inventories the OAC estate and analyses dependencies, complexity, and readiness, so you migrate what matters and retire what doesn't. |
| 02 | AI-Assisted Conversion | The accelerator converts OAC reports, calculations, and business logic into Power BI equivalents, handling the repeatable bulk automatically. |
| 03 | Migration Validation | Each migrated object is compared against its OAC source and checked functionally, so differences are caught before go-live. |
| 04 | Expert Fine-Tuning and Phased Delivery | Our engineers resolve the remaining 12–28%: complex logic and edge cases that need human judgement. Delivery runs as a proof of concept followed by phased migration. |
Automated Discovery and Assessment
— Estate Cataloging & ScopingPulse Convert inventories the entire OAC catalog repository, mapping Subject Areas, report dependencies, usage frequencies, and calculation complexity. Inactive and duplicate analyses are identified upfront to streamline the migration scope.
AI-Assisted Conversion
— Automated Semantic & Visual TransformationThe accelerator converts OAC physical and logical data models into Power BI star-schema datasets, translates Oracle BI calculation syntax into DAX measures, and rebuilds compound layout dashboards into responsive Power BI reports.
Migration Validation
— 100% Parity ReconciliationEach migrated object is compared cell-by-cell against its OAC source across filter variations, aggregated totals, and visual layout fidelity, catching any discrepancies before user acceptance testing.
Expert Fine-Tuning and Phased Delivery
— Engineering Oversight & Production CutoverCertified BI architects resolve the remaining 12–28% of complex edge cases, such as highly bespoke presentation variables, multi-source joins, and custom security filters, ensuring seamless phased production delivery.
Results
The migration of Emulus Consulting's OAC workloads to Microsoft Power BI produced exceptional, verifiable outcomes across all project metrics:
- 72–88% migrated automatically: The vast majority of OAC reports, calculations, prompts, and catalog structures converted automatically to Power BI without manual rebuilding.
- 200 to 45,000 objects supported: The migration methodology demonstrated proven scalability, delivering consistent accuracy across both targeted divisional reports and massive enterprise catalog estates.
- Far less manual effort: By automating the repeatable bulk, BI engineers focused their expertise on the hardest 12–28% of complex calculations and layout refinements instead of rebuilding from scratch.
- Verified, not assumed: 100% of migrated objects underwent automated source-to-target reconciliation, ensuring business stakeholders can completely trust the numbers in Power BI.
- Substantial licensing cost reduction: Transitioning from Oracle Analytics Cloud to Power BI consolidated analytics licensing within the Microsoft 365 and Fabric ecosystem.
- Modernized self-service user experience: Replaced rigid legacy OAC dashboards with dynamic Power BI interactive visuals, cross-filtering, mobile views, and Microsoft Copilot readiness.
Why This Approach Works for OAC to Power BI
It is a real migration: The result is an independent, fully working estate in Power BI with native DAX measures and clean tabular models — not a surface-level Power BI report that remains tethered to OAC data gateways.
It is honest about automation: No tool converts every legacy report and esoteric calculation perfectly. Pulse Convert automates what is repeatable (72–88%) and routes the rest to experienced engineers, so accuracy is rigorously checked rather than claimed.
It scales: Discovery, conversion, and validation are all automated, ensuring that project effort and costs grow far more slowly than object volume.
Frequently Asked Questions
See What Pulse Convert Does with Your OAC Content
Start with a free proof of concept. We migrate a representative sample of your Oracle Analytics Cloud content, validate it against the source, and show you the exact automated accuracy before you commit to anything.
