As organizations continue modernizing their analytics platforms with Microsoft Fabric, many are asking a new question: how do we deliver those insights beyond our internal teams?
In our latest Fabric Threads episode, we sat down with Brian DeLuca, CEO and Co-Founder of The Reporting Hub, to discuss how organizations are embedding Power BI analytics directly into applications, customer portals, and external workflows. The conversation revealed an important reality: while Power BI and Fabric provide powerful analytics capabilities, delivering those insights securely and elegantly to external audiences requires an additional layer.
The Reporting Hub was built to solve exactly that challenge.
Reporting Hub is a plug-and-play, no-code portal built on Power BI Embedded that enables sharing of analytics externally with a secure, branded experience. And now with BI Genius, organizations can create and deploy transparent, custom AI agents using existing Power BI semantic models, all within their own environment. The result is scalable delivery of Power BI and AI-powered insights: your brand, your data, your rules.
From Internal Dashboards to External Insight Platforms
Power BI is widely recognized as one of the most powerful business intelligence tools available today. Internally, it excels at enabling teams to explore data through workspaces, apps, and integrations with tools like Teams and SharePoint.
But sharing analytics externally, whether to customers, partners, or suppliers, is a different challenge entirely.
Power BI Embedded provides the technical capability to do this, but it isn’t a plug-and-play product. Instead, it’s a developer toolkit consisting of APIs and SDKs that organizations must build around. Implementing a full embedded analytics solution can take significant development effort and time.
The Reporting Hub simplifies this process.
Rather than building a custom embedded framework from scratch, organizations can deploy Reporting Hub as a no-code application layer that sits on top of their existing Power BI and Fabric environment. This allows them to securely embed reports into customer-facing portals, applications, or workflows without rewriting their analytics infrastructure.
The result is a streamlined path from internal reporting to external insight delivery.
Extending, Not Replacing, Your Existing Power BI Environment
One of the most important aspects of The Reporting Hub is that it doesn’t replace your analytics stack. Instead, it works as a delivery layer above it.
Organizations continue using their existing:
- Fabric capacities
- Power BI workspaces and semantic models
- Entra ID authentication and governance structures
- Azure infrastructure and data sources
The Reporting Hub is deployed directly within the customer’s Azure environment, ensuring organizations maintain full control over data governance, security, and compliance.
In other words, your current architecture remains intact. The Reporting Hub simply provides a more flexible and scalable way to deliver those insights externally.
The Rise of Customer-Facing Analytics
One of the most common use cases we see is organizations delivering analytics directly to their customers.
Consider a company that already tracks customer orders, shipments, and revenue within Power BI. Customers frequently ask questions like:
- Where is my order?
- What is my current sales volume?
- How are my deliveries trending this quarter?
Traditionally, responding to these requests requires manual reporting or granting customers access to internal systems, often creating licensing, security, and governance complexity.
With embedded analytics, those insights can instead be delivered through a secure customer portal.
Customers log in and instantly see dashboards tailored to their own data, allowing them to explore insights without requiring direct access to the company’s internal Power BI tenant. This approach transforms analytics from a static internal report into a productized experience—what many organizations now describe as “Insights as a Service.”
The Next Frontier: AI-Powered Embedded Analytics
The conversation quickly moved beyond dashboards into the rapidly evolving world of AI in analytics.
With Microsoft introducing Copilot and natural language interfaces across Power BI and Fabric, users can now ask questions directly about their data rather than navigating through reports.
However, one key limitation remains: Copilot is not currently supported in Power BI Embedded experiences.
This creates a gap for organizations that want to deliver the same conversational BI capabilities to their external users.
The Reporting Hub addresses this challenge by building AI capabilities using Azure AI Foundry. By leveraging Microsoft’s broader AI infrastructure, organizations can create custom AI agents that interact with their data and deliver those experiences within embedded analytics portals.
This enables external users to move beyond static dashboards and interact with their data through natural language queries—bringing the benefits of AI-driven BI to customer-facing analytics environments.
Beyond Fabric: Connecting to the Full Data Ecosystem
Another advantage of leveraging Azure AI Foundry is flexibility.
While Fabric provides powerful tools for managing analytics workloads, most organizations operate in hybrid environments where data exists across multiple systems.
AI agents built through Azure AI Foundry can connect to:
- Fabric semantic models and lakehouses
- Azure SQL databases
- Files and documents
- Knowledge bases and websites
- Other enterprise data sources
This means organizations are not limited to a single data platform when designing AI-driven analytics experiences. Instead, they can bring together insights from across their entire data ecosystem.
The Hard Truth About AI in BI
Perhaps the most important takeaway from the discussion was a reality check about AI in analytics.
Early messaging around AI often suggested that organizations could simply turn it on and immediately transform their analytics experience. In practice, it’s far more complex.
Achieving accurate, reliable AI responses requires much more than enabling Copilot or deploying an AI model.
It requires:
- Well-structured data models
- Clear semantic definitions
- Strong metadata and documentation
- Consistent data governance practices
Without this foundation, AI responses may be inconsistent or inaccurate, something that data teams cannot accept in business intelligence environments.
As Brian noted during the discussion, even improving accuracy from 70% to 80% is often not enough when business decisions depend on trustworthy data. Achieving high-quality AI insights requires organizations to rethink how their data is modeled and governed from the ground up.
Why Collectiv and Reporting Hub Partner
Delivering AI-powered analytics externally requires more than just technology, it requires the right combination of platform expertise and data strategy.
The Reporting Hub provides the embedded analytics and AI delivery framework, while Collectiv helps organizations ensure their data foundations are properly structured, governed, and optimized for Power BI, Fabric, and AI.
As Brian DeLuca explains:
“We partner with Collectiv because they are at the forefront of Microsoft Fabric and Power BI innovation. Beyond technical excellence, they bring a consultative approach, aligning data strategy to business priorities and delivering solutions that create lasting value.”
Together, this partnership helps organizations move from raw data to actionable insights that can be delivered internally and externally at scale.
Delivering the Last Mile of Analytics
At the end of the day, the goal of analytics is simple: deliver the right insight to the right person at the right time.
Power BI and Microsoft Fabric provide the foundation for building powerful analytics solutions. But delivering those insights to customers, partners, and external stakeholders requires an additional layer of delivery and experience design.
That’s where embedded analytics platforms like The Reporting Hub come into play.
By simplifying Power BI Embedded and enabling AI-driven analytics experiences beyond the Microsoft tenant, organizations can extend the value of their data platforms far beyond internal reporting.
The dashboards may live inside Fabric—but the insights can reach everywhere.
Turning AI Ambitions into Real Insights
As organizations push to bring AI into their analytics environments, one truth is becoming increasingly clear: the technology alone isn’t enough.
Delivering accurate, trustworthy AI experiences requires well-structured data models, clear metadata, and strong governance practices. Without that foundation, even the most advanced AI tools struggle to produce reliable answers.
That’s where the partnership between The Reporting Hub and Collectiv comes into play.
Reporting Hub provides the platform that delivers analytics and AI experiences to users, whether internally or through customer-facing portals. Collectiv helps organizations do the foundational work required to make those experiences successful, from modernizing data architecture in Microsoft Fabric to preparing semantic models and metadata for AI-powered insights.
Together, the partnership bridges the gap between building great data platforms and delivering insights at scale.
If your organization is exploring embedded analytics, AI-powered BI, or preparing your Power BI and Fabric environment for the next generation of analytics, connect with the Collectiv and Reporting Hub teams for a free demo of their platform.
