Getting a Head Start with SAP Analytics in Microsoft Fabric
This article explores how Microsoft Business Process Solutions provide SAP customers a head start with Microsoft Fabric by providing prebuilt data models, transformations, and analytics experiences around common business processes.

If you've spent any time building analytics around ERP or other enterprise systems, you've probably seen the same patterns play out a time or two. While the ERP technology landscape has changed over the years, the key the business questions haven't. Leadership teams still want to understand how orders are flowing, where money is being spent, how production is performing, and what the numbers are telling us about the health of the business.
What does change is the platform underneath it all. And when a new data platform comes along, we often find ourselves rebuilding a lot of familiar ground: extracting data, figuring out how everything fits together, recreating business logic, and eventually building the models and reports people actually want to use.
Microsoft's Business Process Solutions for Fabric offer an interesting way to shortcut some of that work. Instead of starting from a blank canvas, Microsoft has worked with customers and partners to provide prebuilt data models, transformations, and analytics experiences organized around common business processes. Microsoft has started this journey with SAP, with most of the solutions available today built around familiar SAP business processes and data. But SAP is just the starting point. Salesforce is already represented, and more templates will be added over time.
In this article, we'll take a closer look at what Business Process Solutions are, what's available today, and how they can give you a head start on your analytics journey with Microsoft Fabric.
What are Business Process Solutions?
At first glance, it would be easy to think of Business Process Solutions as yet another collection of pre-built Power BI templates. But Microsoft has actually gone quite a bit further than that. These solutions are intended to provide a reusable analytics foundation for common business processes, covering much of the journey from extracting source data to putting useful insights in front of business users.
Underneath the hood, Business Process Solutions use a medallion architecture in Microsoft Fabric to progressively transform source data into business-ready models. Microsoft provides predefined datasets that identify the source data needed for a particular process, along with pipelines and transformation logic to organize that data into curated fact and dimension models. Along the way, the solutions can handle some of the less glamorous work that often consumes significant time on an analytics project, including relationships, hierarchies, surrogate keys, currency conversions, and aggregations.
On top of that foundation, Microsoft provides semantic models and business templates that can be used to deliver ready-made experiences through Power BI and, increasingly, Copilot Studio agents. Put it all together, and you have the end-to-end architecture shown in Figure 1 below.

Figure 1: Scope of Business Process Solutions
That's where the real value of Business Process Solutions starts to become apparent. The Power BI reports and agents might be what users ultimately see, but the bigger head start is everything Microsoft has already built underneath them.
Starting with Familiar Business Processes
One of the nice things about Business Process Solutions is that Microsoft isn't inventing a new vocabulary for organizing enterprise data. The solutions are centered around familiar, end-to-end business processes that most SAP customers already know well.

Figure 2: Process-Centric Data Models in Business Process Solutions
Order-to-Cash is a good example. Microsoft's Sales and Billing Insights solution brings together data across the sales and billing process to provide visibility into areas such as orders, deliveries, billing, customers, and products. Underneath that experience are more granular data models for sales orders, deliveries, and billing that can also serve as building blocks for other analytics scenarios.

Figure 3: Sales and Billing Insights Report Template
The same idea carries over into other core processes. Procure-to-Pay includes Spend Insights for analyzing purchasing activity and supplier spend, while Record-to-Report includes Finance Insights along with Accounts Payable and Accounts Receivable Insights. Microsoft is also building out operational models around process flows such as Plan-to-Produce, giving customers a growing library of familiar business processes to build upon.
And while SAP represents much of the catalog today, the underlying concept extends beyond ERP. Microsoft already offers an Opportunity Insights solution built around Salesforce data, providing an early indication of how Business Process Solutions could eventually help organizations bring together analytics across multiple enterprise platforms.
For SAP customers in particular, though, the current catalog provides an interesting starting point. Instead of approaching Fabric with a broad mandate to "bring our SAP data into the lake," you can start with a business problem everyone already understands, select the corresponding models and templates, and begin building from there.
Getting Started Without Boiling the Ocean
Of course, having all of these options doesn't mean you need to tackle them all at once. In fact, one of the more compelling aspects of Business Process Solutions is that they give you a practical way to start small with Fabric while still building toward something bigger.
For example, you might start with Order-to-Cash because sales and billing visibility is a priority. Rather than beginning with a broad initiative to move large portions of SAP data into Fabric, you can start with the data required to support that process, deploy the corresponding models and insights, and see how well they align with your business. Along the way, you're also working through some of the foundational decisions around SAP data extraction, Fabric architecture, security, governance, and how the resulting data will be consumed.
Once that foundation is in place, we have a pattern you can build on. The next step might be Spend Insights, Finance Insights, or another business process entirely. You might also begin combining SAP data with information from CRM, manufacturing, operational, or other systems to answer questions that don't fit neatly within a single application.
The point isn't to implement every available template. It's to pick a meaningful business problem, use the accelerator to get moving quickly, and expand from there as you prove out the value.
A Head Start, Not a Finished Solution
As promising as all this may sound, it's important to set realistic expectations. Business Process Solutions are accelerators, not turnkey analytics solutions. Microsoft has provided a solid starting point for something like Order-to-Cash, but they don’t know exactly how your organization runs that process.
This is especially true with SAP. We see it all the time. Companies running the same version of SAP can have very different configurations, organizational structures, custom fields, Z-tables, extensions, and business rules. And that's before you get into something as seemingly straightforward as agreeing on how a particular KPI should be calculated.
Fortunately, Business Process Solutions are designed with this reality in mind. The predefined datasets and models can be extended to incorporate additional tables, relationships, and customer-specific logic. From there, you can adapt the semantic models and business experiences to better reflect how your organization actually operates.
That's an important distinction. The goal isn't to eliminate the work required to build a production-ready analytics solution. It's to eliminate as much of the repetitive work as possible so you can spend more of your time on the things that actually are unique to your business.
This is also where having the right mix of SAP and Microsoft Fabric expertise can make a difference. At Bowdark, we work across both sides of that equation, helping customers understand their existing SAP landscape while designing and building the Fabric solutions that sit on top of it. With Business Process Solutions, that can mean evaluating where the prebuilt models fit, identifying where they don't, and extending them into something that reflects the way your business actually works.
Closing Thoughts
Business Process Solutions are still a work in progress, but the direction Microsoft has taken is encouraging. Fabric already provides a powerful foundation for bringing data together across SAP and the rest of the enterprise. These accelerators make that journey more approachable by giving you a meaningful starting point around business processes you already understand.
For SAP customers in particular, there's a lot to like about the idea. Instead of spending the early stages of a Fabric project rebuilding familiar data models and business logic, you can start with what Microsoft has already provided, adapt it to your environment, and focus more of your effort on the insights and use cases that are unique to your business.
If you're exploring Microsoft Fabric and wondering where Business Process Solutions might fit, we'd be happy to help you take a closer look. Sometimes the best way to get started isn't to build a bigger roadmap. It's to find the right place to start and build from there.



