One Platform. One Truth.Microsoft Fabric

Stop chasing the same number. From raw ingestion to board-ready dashboards — unified, governed, and ready for AI. In 10 weeks.

Platform & Ecosystem:

Microsoft
Azure
Azure
Fabric
Fabric
Purview
Purview
Power BI
Power BI
Copilot
Copilot
The Problem

Same Question. Too Many Answers.

If this feels like your Monday, you're in the right place.

Fabric changes that. Here's how.

SQL
CSV
!
!
Siloed Data
Problem 01

The Scavenger Hunt

Your CFO asks one question: "What's our revenue by region?" You check the dashboard — wrong number. Finance has a different one from the ERP. Sales has a third from Salesforce. By 10 AM, you're in a meeting about the data, not the decision. Sound familiar?

One source. One answer. Same meeting, different outcome.

Problem 02

The Trust Gap

Dozens of dashboards. But when the CEO presents to the board, someone always builds a fresh Excel "just to double-check." The reports exist. The trust doesn't. Decisions stall.

Governed data. Traceable lineage. Trust built in.

Problem 03

Governance by Hope

"Who has access to customer data?" The honest answer: you're not sure. Access sprawled over time. No one tracks revocations. Sensitive data in email, shared drives. Audit season = panic mode.

Sensitivity labels. Access policies. Audit-ready by default.

The Benefits

Why Leading Teams Choose Fabric

One platform. Unified data. Decisions, not debates.

One Lake, One Truth

Stop reconciling spreadsheets. OneLake unifies Data Factory, Lakehouse, Warehouse, and Power BI — everyone reads and writes to the same place. Engineering and analysts finally share one version of the truth.

Decisions in hours, not weeks.

Governance Built In, Not Bolted On

Purview is inside Fabric — sensitivity labels, lineage, access policies. Configure once, enforce everywhere. When the board asks "where did this come from?" you show them. No scrambling.

Audit-ready without the scramble.

One Platform. One Bill. Everything Connects.

Ingestion, transformation, analytics, streaming, ML — all in Fabric. No more juggling vendors, integrations, or surprise invoices. One capacity scales with you.

Simplicity that scales.

Query Without Copying

Shortcuts point to Azure, S3, Dataverse — query where data lives. No duplication, no sync delays, no cost bloat. Less moving. More doing.

Access everything. Move nothing.

AI-Ready. Today.

Copilot writes SQL, builds pipelines, explores data in plain language. Your Lakehouse feeds Azure AI Foundry, RAG, and the workloads competitors are still planning.

Catch up — or get ahead.

Predictable Costs. No Surprises.

One capacity for all workloads. No idle clusters. No separate warehouse bills. Scale up when you need it; scale down when you don't. Budget meets reality.

Cost clarity, every month.

Groot's Capabilities

What We Deliver — And Why It Matters

From fragmented sources to a production-ready platform. In 10 weeks.

01

Workspace Architecture

Dev, test, prod separation. Capacity allocation. Team boundaries. We design a structure that scales — so you don't rebuild when you grow.

A foundation that grows with you.

02

Lakehouse with Medallion Architecture

Bronze preserves raw data. Silver cleans and standardizes. Gold delivers business-ready datasets. Every layer has a purpose. Every transformation is traceable.

From chaos to clarity. Lineage included.

03

Pipelines That Actually Run

ELT pipelines with error handling, logging, monitoring, alerting. The production rigor demos skip — but Finance needs when they depend on the numbers.

Data that arrives. On time. Every time.

04

Purview Configuration

Catalog, sensitivity labels, lineage, access policies. Done during implementation — not six months later when compliance shows up with questions.

Governance from day one.

05

Private Endpoints

When data can't touch the public internet, we configure managed private endpoints. Fabric connects via Azure Private Link. Traffic stays on Microsoft's backbone.

Enterprise security. Zero compromise.

06

Semantic Model Foundation

The certified layer between Lakehouse and Power BI. Consistent measures, documented relationships, row-level security. Analysts build on governed data — not cryptic column names.

Self-service that doesn't create mess.

Implementation timeline

From Chaos to Clarity in 10 Weeks

A proven path. No endless discovery. Real deliverables, every phase.

Tangible deliverables each phase — from architecture sign-off to analysts on governed data.

Week 1-2

Discovery

We map your sources, pain points, and target architecture. First 3-5 data sources identified. Governance requirements locked in. No guesswork — a clear path forward.

Deliverable

Architecture document and implementation roadmap

Real Results
10 days → 3 daysMonthly close

Private Equity: 3 ERPs, 1 Truth

The Context

PE-backed portfolio company. Three acquisitions. Three ERPs — SAP, NetSuite, QuickBooks. CFO needed consolidated financials. Fast.

The Reality

Finance spent the first week of every month in Excel. Manual exports. VLOOKUP hell. Board meetings delayed. 'Final' numbers still came with asterisks.

What We Built

Fabric Lakehouse with unified chart of accounts across all three ERPs
Automated daily pipelines from SAP, NetSuite, and QuickBooks
Medallion architecture: Bronze → Silver → Gold, fully traceable
Purview lineage from source to executive dashboard
Flash report dashboard the CFO checks every morning

The Outcome

"Monthly close: 10 days → 3 days. Finance shifted from data wrestling to analysis. Board gets weekly flash reports. Asterisks eliminated."

FAQ

Frequently Asked Questions

Got questions? We've answered the most common ones. If yours isn't here, reach out — we'll give you a straight answer.

Fabric Background

Ready to stop chasing the same number?

20+ Fabric implementations delivered. We'll assess your landscape, identify quick wins, and map a path to one source of truth.

20+
Fabric implementations
10
Weeks to foundation
1
Source of truth