We Provide
Microsoft Fabric Implementation
Build one source of truth for reporting and AI, then put it inside the tools your teams and partners already use.
Reenbit’s Microsoft Fabric implementation helps companies bring scattered reports and aging data pipelines into one platform with shared definitions and access rules. On one Fabric platform we delivered, the client cut manual reporting time by 70% and moved business decisions from days to hours while opening secure analytics to 50+ external partners. Delivery starts with a one-to-two-week Assessment Sprint that maps your data sources and picks the first use case to build.
Plan Your Fabric Rollout
When Your Company Needs Microsoft Fabric
Microsoft Fabric is a software-as-a-service (SaaS) analytics platform that brings data integration, data engineering, warehousing, real-time analytics, and Power BI onto one shared data lake, OneLake.
Every team works from the same copy of the data under one set of security rules, and the business pays for one capacity that covers every workload.
Reports That Contradict Each Other
Finance, sales, and operations each pull numbers from their own spreadsheets and standalone Power BI files, and weekly meetings start with arguments about whose figures are right. Fabric gives every team one warehouse and shared semantic models, so a KPI means the same thing in every report.
Pipelines Spread Across Too Many Services
Years of growth leave many companies with Azure Data Factory jobs, Synapse workspaces, SQL databases, and custom scripts that only one engineer understands. Moving them into Fabric puts ingestion and transformation in one workspace and cuts the number of services your team has to secure and pay for.
A Power BI Premium Renewal Coming Up
Microsoft is retiring Power BI Premium capacity (P SKUs) at the end of each customer’s current agreement term, and Fabric F SKUs take their place. If your renewal date is close, plan the move now so reports keep running and your team gains new Fabric workloads on the same capacity.
Microsoft Fabric Implementation Services We Deliver
Our Microsoft Fabric implementation services start where most companies feel the pain, with weekly reports that take days to compile and data spread across a dozen disconnected tools. Reenbit’s data engineers build the platform in Python and SQL, and our web developers join when your users need dashboards inside a portal or app.
Fabric Readiness Assessment and Roadmap
Every engagement opens with a one-to-two-week Assessment Sprint. Our architects review your data sources, Azure and Power BI spend, security setup, and reporting gaps, then hand over a target architecture, a capacity estimate, a phased roadmap, and a shortlist of first use cases.
OneLake, Lakehouse, and Warehouse Architecture
Our architects set up OneLake with bronze, silver, and gold layers and pick a lakehouse or a warehouse for each workload. Mirroring keeps Azure SQL, SQL Server, Cosmos DB, and Snowflake tables in sync with OneLake without new ETL pipelines, and shortcuts read data that stays in other clouds.
Data Pipelines and Source Integration
Fabric Data Pipelines and Dataflows Gen2 pull data from ERP, e-commerce, CRM, and custom APIs on a schedule you control. For a Swiss fashion brand, our engineers built Azure Data Factory pipelines for Shopify orders and courier data, including a custom connection to Shopify’s GraphQL API, which ADF has no built-in connector for.
Migration From Azure Data Factory, Synapse, and Power BI Premium
Reenbit moves existing ADF pipelines, Synapse SQL pools, and SQL Server databases into Fabric items. Power BI semantic models need no rebuild, since our team simply reassigns their workspaces to F SKU capacity. Through our cloud migration services, engineers compare old and new outputs until the numbers match.
Semantic Models and Power BI Reporting
Shared semantic models hold one definition per KPI, and Direct Lake mode lets Power BI read OneLake tables directly at import-like speed, with no scheduled data copies. For Brands of Scandinavia, a Danish wholesale company, our business intelligence services replaced SQL scripts and Excel pivots with automated reporting on Navision and Business Central data.
Embedded Analytics Inside Your Apps and Portals
Developers at Reenbit embed Power BI reports into your web app with Microsoft Entra ID (Azure AD) sign-in and RLS, so each partner sees only its own data. For a US retailer, our Blazor development team built this layer, along with geographic dashboards and scheduled PDF reports for distributors.
AI Assistants and Natural-Language Analytics
Business users ask questions in plain English and get answers grounded in governed Microsoft Fabric data. Through our AI development services, engineers connect Azure OpenAI to the platform and add KPI alerts by email or Teams, as the US retailer now uses alongside its dashboards.
Governance, Security, and Capacity Cost Control
Microsoft Purview labels, workspace roles, and RLS keep sensitive data in the right hands as more teams join the platform. We also size F SKU capacity, pause it during idle hours, and track consumption, so your monthly Fabric bill stays predictable as usage grows.
Migration Paths to Microsoft Fabric
Microsoft Fabric implementation helps companies keep the business logic they already trust while they retire overlapping tools and licenses. Most data estates mix pipelines, warehouses, reports, and scripts that different teams added over many years, so Reenbit moves one source at a time and checks old and new numbers against each other.
| Source | What Moves to Microsoft Fabric | How Reenbit Handles It |
|---|---|---|
| Excel and standalone Power BI files | One warehouse with shared semantic models | Built this on Fabric for a US retailer |
| Azure Data Factory (ADF) | Pipelines and schedules into Fabric Data Pipelines | Reuses patterns from our Swiss fashion brand pipelines |
| SQL Server and Integration Services (SSIS) | Scripts and jobs as scheduled Fabric pipelines | Retired SQL scripts for Brands of Scandinavia |
| Azure SQL and Cosmos DB | Continuous table mirroring into OneLake | Sets up mirroring, keeps source databases unchanged |
| ERP (Microsoft Dynamics NAV, Business Central) | Sales and finance history into the warehouse | Moves data from the old ERP to the new one while preserving its history |
| Power BI Premium (P SKUs) | Workspaces and semantic models on F SKU capacity | Reassigns workspaces, validates reports, then cancels the P SKU |
| Azure Synapse Analytics | SQL pools to Warehouse, Spark to notebooks | Moves SQL models, rewrites Spark jobs as notebooks |
| Databricks and Snowflake | Shortcuts while data stays in place | Connects existing tables without copying data |
Who We Build Fabric Platforms For
Microsoft Fabric implementation pays off fastest where many people read the same numbers but nobody trusts the source, from store managers and distributors to account teams and the customers of a software product. Reenbit shapes the platform around how each of these groups works with data.
Store, web shop, marketplace, and returns data each land in a different system, so stock and margin figures rarely match by Monday morning. Fabric brings these channels into one OneLake model and feeds the same numbers back into the POS and e-commerce apps our retail software development team builds.
Wholesalers depend on ERP data, and older systems like Microsoft Dynamics NAV often hold years of order history that new reports cannot reach. Fabric keeps that history next to live Business Central data and shares it with the warehouse and delivery apps from our logistics software development practice.
Software vendors keep getting customer requests for dashboards inside the product, and building a reporting engine from scratch drains the roadmap. Fabric and Power BI Embedded serve every tenant from one governed model with RLS, so your developers add customer analytics without a separate reporting stack.
Consultancies sell insight, yet analysts often lose days merging client spreadsheets before any real analysis starts. Fabric gives each engagement its own governed workspace with reusable pipelines and report templates, so teams start from clean data and spend billable hours on recommendations for the client.
Store, web shop, marketplace, and returns data each land in a different system, so stock and margin figures rarely match by Monday morning. Fabric brings these channels into one OneLake model and feeds the same numbers back into the POS and e-commerce apps our retail software development team builds.
Wholesalers depend on ERP data, and older systems like Microsoft Dynamics NAV often hold years of order history that new reports cannot reach. Fabric keeps that history next to live Business Central data and shares it with the warehouse and delivery apps from our logistics software development practice.
Software vendors keep getting customer requests for dashboards inside the product, and building a reporting engine from scratch drains the roadmap. Fabric and Power BI Embedded serve every tenant from one governed model with RLS, so your developers add customer analytics without a separate reporting stack.
Consultancies sell insight, yet analysts often lose days merging client spreadsheets before any real analysis starts. Fabric gives each engagement its own governed workspace with reusable pipelines and report templates, so teams start from clean data and spend billable hours on recommendations for the client.
Why Choose Reenbit as Your Microsoft Fabric Implementation Partner
A Microsoft Fabric implementation partner should leave your team with a platform it can run and extend without surprises on the monthly bill. Reenbit has been building on the Microsoft stack since 2018, and the engineers who design your pipelines can also build the apps your users open every day.
Data Engineers and App Developers in One Team
Microsoft Fabric projects often stall where data meets the product, such as a customer portal or a custom web app. Reenbit’s .NET, Blazor, and Azure engineers work next to our data team, so embedded reports and data-driven features ship in the same release as the pipelines behind them.
AI Features Already Running in Production
Our engineers have already shipped an Azure OpenAI chatbot on top of Fabric data for the US retailer, where business users now ask questions in plain English next to their dashboards. Your AI plans start from that working pattern, with answers grounded in governed semantic models.
Hands-On Experience With Microsoft ERP Data
Many Fabric projects pull sales and finance data from Microsoft Dynamics, where table structures and history handling take time to learn. For Brands of Scandinavia, Reenbit kept years of Microsoft Navision history available while connecting Business Central through OData, and we bring that know-how to every Fabric warehouse we design.
Secure Analytics for Partners and Customers
Sharing data outside the company raises the stakes on access control. Reenbit sets up Microsoft Entra ID sign-in, workspace roles, RLS, and expiring share links, the approach that let the US retailer open analytics to distributors and regional partners without exposing other accounts.
Nearshore Delivery With a Fast Team Start
Delivery runs from Lviv and Warsaw, with an office in Markham, Canada, so European clients share the full working day and US teams get a daily overlap for calls. A first developer can start in about 5 days, and a full Microsoft Fabric team in about 3 weeks.
Proven Delivery Record
Since 2018, Reenbit has delivered 75+ projects and published 33+ success stories, and 89% of our staff are certified in the technologies they use. ISO 27001:2022 information security practices also govern how our engineers access your tenant and the data inside it.
Choosing the Right Fabric Capacity
Fabric capacity is a separate Microsoft bill, and the right F SKU depends on how many people read reports and how heavy your pipelines run. Our architects size capacity during the Assessment Sprint, start small, and scale up only when usage monitoring shows the need.
| F SKU | Typical Fit | Pay-As-You-Go, per Month | 1-Year Reservation, per Month |
|---|---|---|---|
| F2 | Proof of concept, dev and test | ~$263 | ~$156 |
| F4 | One team, light daily pipelines | ~$526 | ~$313 |
| F8 | First production workload for a department | ~$1,051 | ~$625 |
| F16 | Several departments, regular Spark jobs | ~$2,102 | ~$1,251 |
| F32 | Company-wide warehouse, heavy refresh windows | ~$4,205 | ~$2,501 |
| F64 | Report viewers without Power BI Pro licenses | ~$8,410 | ~$5,003 |
Our Microsoft Fabric Implementation Process
Fabric rollouts go wrong when a team migrates everything at once and only then discovers that the numbers no longer match. Reenbit starts with one business use case, proves it on your real data, and expands the platform in steps your finance and IT teams can track.
What You Get From the Assessment Sprint
The Assessment Sprint takes one to two weeks and gives your leadership enough detail to approve the Fabric project or change its scope before development starts. Our architects work with your data owners and hand over three core deliverables.
On request, the team also estimates Fabric capacity costs and compares them with your current Azure and Power BI spend. In practice, most projects start on the smallest F SKU that fits the first use case and scale up only when monitoring shows the need.
Target Architecture
Workspaces, OneLake layers, the security model, and the sources each workload connects to.
Delivery Estimate
Effort, team composition, and timeline for every phase.
Phased Roadmap
The first use case, its success metric, and the order of later workloads.
Engagement Models for Microsoft Fabric Implementation
Reenbit can take your Fabric project from the first assessment to production with its own team, or add Fabric engineers to the data team you already run. The right model depends on who will own the platform after launch and how many data specialists your company has today.
Assessment Sprint
This fixed-scope engagement lasts one to two weeks and suits companies still deciding whether Fabric fits. You receive a target architecture, a capacity estimate, and a phased roadmap, which you can run with our team or your own.
End-to-End Delivery
Reenbit owns delivery from architecture to go-live, with a project manager and data engineers working in Python and SQL against agreed milestones. This model suits companies that want a production platform without growing an internal data team first.
Dedicated Fabric Team
Reenbit assembles a dedicated development team of data engineers and Power BI developers who work only on your platform under your product owner. The team usually starts in about three weeks and grows or shrinks as your roadmap changes.
Staff Augmentation
When your own team leads the roadmap and only lacks Fabric skills, our IT staff augmentation model adds data engineers with Fabric, Azure Data Factory, and Power BI experience. A first specialist can join your sprints in about five days and work with your tools and processes.
Success Stories
From Legacy Reporting to a Scalable Analytics Platform for a Wholesale Company
Discover more success stories
Explore our success stories with challenges, solutions and outcomes
Ready to create your own success story?
Talk to us!What Clients Value About Reenbit
Ready to create your own success story?
Talk to us!FAQ
How long does Microsoft Fabric implementation take?
Microsoft Fabric implementation time depends on how many sources you connect and how much existing work moves across. Reenbit splits the work into stages so your teams see value before the full rollout ends:
- The Assessment Sprint takes one to two weeks and produces the roadmap and capacity estimate.
- Our team then builds a proof of concept for one use case on your real data.
- Each new source or migrated workload then joins the platform in its own sprint.
Projects with a few cloud sources and existing Power BI reports move fastest. Legacy ERP history and embedded analytics for external users add time, and our architects include both in the plan from the start.
How much does Microsoft Fabric consulting cost?
Microsoft Fabric consulting costs depend on scope, and Reenbit quotes after the Assessment Sprint, once the sources and target reports are clear. Four factors drive the budget:
- The number and type of data sources, including legacy ERP systems
- The volume of existing ADF, SQL Server, or Power BI work that needs migration
- Security requirements, such as row-level access for external partners
- Custom applications or AI features on top of the platform
Fabric capacity is a separate Microsoft cost. You pay for an F SKU on a pay-as-you-go or reserved basis, and you can pause pay-as-you-go capacity when nobody uses it. Our team sizes capacity during the assessment so the monthly bill matches real workloads.
Do we need Microsoft Fabric if we already use Power BI?
Power BI covers reporting, while Fabric adds the data engineering and storage layer that feeds those reports. Many companies already run Power BI on top of spreadsheets, SQL databases, and scattered pipelines, and Fabric brings that work into one governed platform. It makes sense when:
- Reports from different teams show conflicting numbers
- Data refreshes depend on manual exports or fragile scripts
- Your organization runs Power BI Premium capacity (P SKUs), which Microsoft is retiring at the end of each customer’s current agreement term
Power BI Pro and Premium Per User licenses stay unaffected. If your reports already rely on one clean source and refresh reliably, Fabric can wait, and our Assessment Sprint will tell you so.
Can you migrate our Azure Data Factory or Synapse workloads to Microsoft Fabric?
Yes, our Microsoft Fabric migration services cover Azure Data Factory pipelines, Synapse SQL pools and Spark jobs, SQL Server databases, and Power BI Premium workspaces. Reenbit engineers have built ADF pipelines for retail and wholesale clients, so the team knows how these workloads behave. The migration follows a fixed order:
- Inventory every pipeline, dataset, and schedule, and map each one to its Fabric equivalent
- Move workloads one at a time
- Run old and new outputs side by side until every figure matches
- Retire the old service only after business users sign off
This approach keeps reports running throughout the project and lets you stop paying for overlapping services step by step.
What should we look for in a Microsoft Fabric implementation partner?
A Microsoft Fabric implementation partner should show delivered Fabric work and explain how it will run your platform after launch. When you compare Microsoft Fabric consulting proposals, ask about:
- A Fabric project in production, with measurable results and a client you can contact
- Engineers who handle both data pipelines and the applications where users read the data
- Experience with your source systems, such as Dynamics 365 or Shopify
- The security model for internal teams and external partners
- A clear first step with fixed scope and deliverables
Reenbit answers these with a Fabric platform for a US retailer, a team of 100+ engineers, and a one-to-two-week Assessment Sprint that ends with a roadmap you own.
How does Microsoft Fabric support AI and Copilot?
Microsoft Fabric gives AI tools one governed copy of your data, and chatbots answer only as well as the data behind them. Fabric supports AI in several ways:
- Copilot in Fabric helps analysts write queries and build reports
- Fabric data agents answer business questions based on your semantic models
- Custom applications can call Azure OpenAI on top of the same governed data
For the US retailer, Reenbit built an Azure OpenAI chatbot inside the client’s Blazor app, where users ask questions in plain English next to their Power BI dashboards. Before adding AI, our engineers clean the semantic models and set access rules, so each user sees answers only from the data they may access.
Can we bring Dynamics 365 Business Central or NAV data into Fabric?
Yes, Fabric can hold both Microsoft Dynamics NAV history and live Dynamics 365 Business Central data in one warehouse, so finance and sales teams can compare years of results in one report. Reenbit has done this groundwork for Brands of Scandinavia, a Danish wholesale company:
- The team read Navision data directly from SQL and Business Central data through OData v4 APIs
- Years of Navision history stayed available for year-over-year reports
- Automated reporting replaced SQL scripts and Excel pivot tables that analysts used to maintain by hand
That project ran on Azure Data Factory and SQL Server, and our engineers apply the same ERP-agnostic data model when they build Fabric pipelines and warehouses for Dynamics customers.
Should we move from Azure Synapse Analytics to Microsoft Fabric now?
A move from Azure Synapse Analytics to Microsoft Fabric makes sense when you plan new analytics work, though nothing forces it today. Microsoft states it has no current plans to retire Synapse, and it focuses most new features on Fabric. Our team suggests moving when:
- New data products or AI use cases need the platform that keeps getting new capabilities
- Synapse, Data Factory, and Power BI Premium bills overlap, and one Fabric capacity could replace them
- Your Power BI Premium (P SKU) agreement ends soon
Teams on Databricks can keep their lakehouse and connect it to Fabric through mirroring or shortcuts. During the Assessment Sprint, our architects compare current Synapse costs with a sized Fabric capacity before any code moves.