Microsoft Fabric & Data Warehouse Consulting in Singapore
The Governed Data Layer Behind Your Power BI, Built by a Finance-First Team
ITLink designs and builds Microsoft Fabric data platforms and data warehouses for Singapore finance and operations teams — consolidating ERP, CRM and spreadsheet data into one governed model that Power BI, TM1 and OneStream can all report from. Singapore-based, delivering since 1995, with Microsoft-certified Fabric Analytics Engineers (DP-600) and Power BI Data Analysts (PL-300) on the team.
Trusted by Singapore finance teams since 1995
Power BITM1 / Planning AnalyticsOneStreamExcel
Reporting Is Slow Because There Is No Warehouse Underneath It
Numbers That Don't Agree Between Systems
Revenue in the CRM, revenue in the ERP and revenue in the board pack are three different figures. Each report applies its own logic to its own extract, so reconciling them is a monthly job that never finishes.
Power BI Doing the Warehouse's Job
Hundreds of Power Query steps, refreshes that take hours and fail overnight, and a semantic model only one person understands. Power BI was asked to be the integration layer, and it isn't one.
ERP, CRM and Excel With No Single Source
The "master" customer list, product hierarchy and cost-centre map live in a spreadsheet someone maintains by hand. Every system has its own version, and finance is the one that has to stitch them back together.
Every New Report Starts From Raw Extracts
A new question from the board means a new export, a new cleanse and a new model. Nothing is reusable, history is lost when the source is overwritten, and last year's numbers can't be reproduced.
What We Deliver
Platform, warehouse and the reporting layer on top — designed together so the numbers agree by construction. Choose where to look.
Microsoft Fabric Platform
The Fabric tenant set up properly: sized for your workload, governed from day one, and deployable without hand-copying between workspaces.
Data Warehouse
A dimensional model built for finance questions — on Fabric Warehouse, Lakehouse or Azure SQL, whichever fits how you work.
Analytics Layer
The warehouse is only useful if people can report from it. We build the semantic model and connect it to the tools your teams already use.
How an Engagement Runs
Five phases, from source audit to ongoing support. A first release — one source, one finance mart, one management pack — is typically live in 8–12 weeks; the design comes out of your systems and your close, not a reference architecture slide.
Discovery and Source Audit
Which systems hold which numbers, how clean they are, who owns the master data, and the reports that take longest today. We profile the actual data, not the data dictionary.
Architecture, Capacity and Cost
Lakehouse or Warehouse, which F-SKU, what runs on Fabric and what stays where it is. You get a written design and a monthly running-cost estimate before anything is built.
Build Pipelines and Warehouse
Ingestion from each source, the staging and dimensional layers, history tracking, and reconciliation checks that prove what lands in the warehouse matches the ledger.
Semantic Model and First Reports
The Power BI model on top of the gold layer, security roles, and the first management pack — the reports finance has been rebuilding by hand every month.
Handover and Support
Documentation, training for your analysts and administrators, then on-demand support at whatever level you want — from occasional help to a fully managed platform.
Why Work With Us
Most data-platform builds are led by engineers who have never closed a month. Ours are led by people who have.
Finance-first modelling. Chart of accounts, fiscal calendars, multi-currency, intercompany, restatements — we model the warehouse the way finance thinks about the business, so reports don't need a workaround layer on top.
Singapore-based delivery. Your timezone, your regulatory context, your reporting deadlines. On-site when it matters, not a call scheduled around someone else's working day.
One team across the whole stack. We build the warehouse and the Power BI on top of it, and we implement IBM Planning Analytics and OneStream. The data layer is designed to feed all of them, not just dashboards.
Grant-aware scoping. Data and analytics projects can qualify for Singapore government support. We scope work so it fits the EDG grant where it applies — several of our recent data-platform engagements were delivered with EDG support.
Straight answers. If you don't need Fabric — or don't need a warehouse at all yet — we'd rather tell you during scoping than six months in.
Is Microsoft Fabric the Right Platform for You?
Not always, and we'd rather say so upfront.
Usually a strong fit
Worth a conversation first
Common migration paths we deliver
Microsoft Fabric & Data Warehousing in Singapore: Common Questions
Talk to a Singapore Fabric & Data Warehouse Team
A scoping call, not a demo. Tell us which systems hold your numbers and which reports take longest, and we'll tell you what a Fabric or data warehouse build would realistically involve — and whether you need one.
