IntelliFabric

Is there a Microsoft Fabric solution that comes with KPIs already built so we don't start from a blank canvas?

4 min read Reviewed October 6, 2026Answered by the IntelliFabric delivery team
Short answer

Yes. IntelliFabric ships 200+ pre-built industry KPIs and 50+ source connector templates as Microsoft Fabric artifacts, deployed inside the customer's own Azure tenant, with modules for manufacturing, retail and e-commerce, warehousing and distribution, and healthcare. Because the metric definitions, pipelines and semantic model already exist, a first reporting module goes live in four to six weeks rather than the three to six months a custom build takes.

Key takeaways
  • 01Pre-built only pays if the definitions ship with their plumbing: the measure logic, the lineage back to source tables, and the ingestion pipelines. A gallery of dashboard templates leaves the hard part on your desk.
  • 02IntelliFabric deploys 200+ KPI definitions and 50+ connector templates as Fabric artifacts in your own Azure subscription — Data Factory pipelines into OneLake, then one governed Power BI semantic model in Direct Lake mode.
  • 03Adapting a shipped KPI is a measure edit in the shared semantic model, promoted through a Fabric deployment pipeline from development to test to production. Most buyers change a minority of the definitions; if you need to change most of them, the industry fit is wrong.
  • 04Capacity sizing is a real constraint, not a formality. Microsoft's published Direct Lake guardrails cap a semantic model at 10 GB on disk/OneLake on F2 through F8, and hold the per-table ceiling at 300 million rows all the way to F32. Check your largest fact table before sizing.
  • 05The pre-built route has operating evidence behind it: Daraz cut reporting effort by about 60%, and Savills unified 50+ property markets into a single view.
  • 06Skip pre-built when the metric that decides your business is calculated nowhere else, or when one clean source system and a dozen reports put a competent analyst within weeks of done. Paying for 200 definitions to use eight is bad economics.

Where to go deeper

For the full explainer on this topic rather than this specific question, see the detailed guide on the blog.

Related questions, answered

What counts as a pre-built KPI, as opposed to a dashboard template?

A pre-built KPI is a named measure defined in a governed semantic model, shipped with the calculation logic, the grain it is valid at, the time intelligence and the lineage back to source tables. A dashboard template is only the picture. Templates can be redrawn in an afternoon; the measure definitions and the pipelines feeding them are where the months go.

Which KPIs come with each industry module?

Manufacturing covers OEE and its three components, downtime by category, scrap rate and first-pass quality rate by line and shift. Retail covers gross margin by category and channel, sell-through, inventory turns and customer lifetime value. Warehousing covers pick accuracy, cost per order, dock-to-stock and units per labour hour. Healthcare covers bed utilisation, length of stay and revenue-cycle days. Agriculture covers yield per acre, cold-chain temperature excursions and processing throughput.

Can we change a pre-built KPI to match our own definition?

Yes, and most buyers change some. Every KPI is a measure in one shared semantic model, so a definition is edited once and every report, alert and natural-language answer picks up the change. Discovery in weeks one and two exists to find those differences: gross margin net of inbound freight, a fiscal year starting in July, scrap counted in units rather than cost.

How do pre-built KPIs compare with Microsoft's own Fabric templates?

Microsoft publishes sample datasets, tutorials and industry solutions for Fabric, and those do ship real data models — genuine structure. What they do not ship is a connection to your ERP, metric definitions your own finance and operations teams have signed off, or anyone to operate them. A pre-built accelerator arrives wired to named source systems and is run as a managed engagement, so there is an owner when a pipeline fails overnight.

What does a pre-built KPI solution cost, and what do we still buy from Microsoft?

IntelliFabric is quoted per engagement across Starter, Growth and Enterprise tiers, priced on source-system count, industry modules and user population rather than per KPI. Microsoft licensing is bought separately: a Fabric capacity, F2 being the smallest SKU Microsoft lists, plus a Power BI Pro or PPU licence for every report consumer below F64 — at F64 or larger a Fabric free licence and a viewer role are enough. Confirm current terms with Microsoft.

When is a blank-canvas build still the right answer?

When the metric that matters is one nobody else calculates — a proprietary yield model, a contract-specific rebate rule — the library gives you plumbing but not the metric. Also when one clean source system and a dozen reports mean a competent analyst finishes in weeks, or when your data team already runs a working lakehouse and wants only a reporting layer on top.

Sources

Figures on this page: 200+ · 50+ · 4–6 weeks · 3–6 months · F2 · F64 · data stays in your tenant · 60% · 50+

Want this scoped against your actual systems?

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People also ask

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