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Solutions · Microsoft Power Platform · Power BI

From spreadsheet hell to one dashboard your team trusts · Microsoft Power BI.

Microsoft Power BI is the Microsoft business intelligence platform Malaysian SMEs and enterprises use to retire eleven versions of the same Excel file, ask natural-language questions of live data, embed analytics in their customer-facing apps and let Microsoft Copilot build the dashboard for the analyst. Daxonet wires it into D365, AutoCount, SQL, Microsoft Fabric, Excel and 500+ other connectors with row-level security, governed data and a working Phase 1 dashboard live in eight weeks.

Book a Free Power BI Discovery → Talk to a Data Architect
Built for · Drag-drop reports Copilot AI Q&A in plain English Embedded analytics 500+ connectors
KPI · Revenue
RM 2.4M
▲ 18% MoM · target 92%
Chart · Region revenue
Q&A · Copilot
> top 5 SKUs in Q4 by margin
Answered in 3 sec · chart auto-built

Microsoft Power BI is the Microsoft cloud business intelligence platform that turns raw data scattered across spreadsheets, ERPs and SaaS apps into one self-serve dashboard a whole team can read, share and trust. It combines drag-drop dashboards and reports built without SQL, natural-language Q&A that answers plain-English questions against your data model, AI insights and anomaly detection that surface revenue dips before the CFO does, embedded analytics that drop charts directly into your customer-facing app or portal, real-time streaming dashboards for IoT and live operations, and 500+ connectors covering D365, AutoCount, Microsoft Fabric, Excel, SQL Server, Snowflake, Salesforce and the rest of the Malaysian SME stack. Embedded Microsoft Copilot for Power BI builds an entire report from a one-line prompt, summarises a chart in plain language for the executive audience, finds the cause of a stat that moved and drafts the narrative paragraph that goes on the dashboard. The CFO (Chief Financial Officer) reads it as one revenue dashboard refreshed daily instead of five reconciled spreadsheets reconciled monthly. The operations lead reads it as live OEE, sales pipeline and inventory turns. The data team reads it as governed semantic models with row-level security (RLS) and Microsoft Purview lineage. Daxonet, a Microsoft Solutions Partner with 10+ years on the Microsoft enterprise stack, delivers a Phase 1 Power BI go-live in eight weeks, integrated with D365 Finance, AutoCount Accounting and your existing SQL warehouse on Day 1, with Power BI Pro / Premium / Microsoft Fabric licensing chosen against your data volume, PDPA (Personal Data Protection Act 2010) consent on customer dashboards, Singapore region data residency and a governed semantic model the auditor can sign off.

The reporting reality in 2026

Why does Monday morning still start with eleven versions of the same spreadsheet?

Three frustrations show up in every Malaysian SME that runs the business off Excel. Power BI removes them by design.

11
versions

Spreadsheet hell · eleven versions of Q4 Revenue.xlsx

The CFO emails one number. Sales emails another. The MD reads a third on WhatsApp. No one trusts any of them. Power BI gives the team one governed semantic model · one dataset, one revenue definition, one dashboard the auditor can sign off.

2
days

Two days every month to refresh the report

A finance lead spends two working days re-keying numbers, fixing pivot tables and emailing back the corrected file. Power BI refreshes scheduled connectors automatically · the dashboard is current at 8am every Monday and the finance lead is back to actual analysis.

3 wk
old

Decisions made on data that is already three weeks stale

By the time the report lands, the inventory has shifted, the campaign has run and the customer has churned. DirectQuery and real-time streaming dashboards mean the operations lead, the founder and the CFO read off live data, not the version of reality from three weeks ago.

Six outcomes inside one quarter

What changes when the founder, the finance lead and the operations team share one dashboard?

Six shifts the team feels within 90 days of Microsoft Power BI going live across the SME stack.

Drag-drop dashboards · zero SQL

Build the first report from a blank canvas in an afternoon. The finance lead authors. IT does not become the bottleneck.

01
02

Copilot ask-anything

Type a question in plain English. Get a finished chart, a written narrative and a measure you can reuse · in seconds.

AI insights · anomaly detection

A dip in revenue is flagged before the CFO opens the report. The cause is explained against the underlying data.

03
04
Outcome 04 · embed

Embed analytics in your customer-facing app

Power BI Embedded drops live charts inside the customer portal · row-level security so each customer sees only their own data.

Outcome 05 · Microsoft 365

Native to Teams · Outlook · SharePoint

Pin a dashboard inside a Teams channel. Subscribe to a daily digest by email. The team reads off Power BI from where they already work.

05
06
Outcome 06 · governance

Governed data · row-level security · auditor-ready

Workspaces, sensitivity labels, Microsoft Purview lineage and RLS so each user sees only their authorised slice. The CFO signs off and the auditor finds the trail on Day 1.

Daxonet team building a Microsoft Power BI dashboard for a Malaysian SME client
Report built Drag-drop
12 charts
8 sec · zero SQL
Live · refreshes daily
Capability 01 · Self-service dashboards

Drag, drop, publish · no SQL, no waiting on IT.

The finance lead drags a revenue field onto a card visual. The operations lead drops region onto a bar chart. The founder pins the result to a Teams channel. Power BI handles the data model, the joins, the formatting and the publishing. The first dashboard ships in an afternoon, not three sprints. The team that knows the business builds the report · IT does not become a bottleneck.

  • ✓100+ visual types · KPI, bar, line, donut, map, decomposition tree, key-influencers · pick the right chart for the question.
  • ✓Slicers and drill-through · the team filters by region, product, time and salesperson without rebuilding the report.
  • ✓Mobile, Teams, web · publish once, read everywhere · the same dashboard inside the app the user already opens.
Capability 02 · Copilot for Power BI

Will it answer when the MD asks 'which region grew fastest last quarter'?

Copilot for Power BI reads the question, picks the right measure, builds the chart, writes the narrative and cites the data source. The MD types in plain English. Copilot answers grounded in your governed semantic model · not a generic Microsoft demo. Daxonet tunes the data dictionary so the answers use your business definitions of revenue, gross margin and customer · the answer the CFO actually accepts.

  • ✓Build a report from a prompt · 'show revenue by region for the last 12 months with the top 5 SKUs' returns a finished page.
  • ✓Summarise for the executive · Copilot writes a plain-English narrative under the chart for the board pack.
  • ✓Explain why the number moved · Copilot finds the contributing customers, products and regions behind a stat that moved.
Real-time KPI dashboard rendered on the Microsoft Power BI mobile app for a Malaysian business owner
Q&A · Copilot
> which region grew fastest?
Penang · ▲ 31% YoY · led by SKU-A12 and SKU-B07.
Chart auto-built 3 sec
Capability 03 · Copilot for Power BI

How does Copilot turn a one-line prompt into a finished dashboard?

Four real Copilot moments along the analyst flow · build, summarise, find anomaly, explain. Every output is grounded in your governed semantic model.

U You ask
“Build me a sales dashboard by region for the last 12 months.”
Copilot delivers
Built · 4 charts · 8 sec
Region map · MoM trend · top SKU · category mix · ready to publish.
U You ask
“Summarise this dashboard in one paragraph for the board pack.”
Copilot delivers
Narrative drafted · 240 words
Revenue up 18% MoM · Penang led at +31% YoY · SKU mix shifted toward A-tier · margin held at 38%.
U You ask
“Why did orders dip on the 14th?”
Copilot delivers
Cause found · payment outage
Anomaly explained against checkout-failure logs · 312 missed orders · recovery email sent same day.
U You ask
“Forecast next month revenue against pipeline.”
Copilot delivers
Forecast · RM 2.8M · ±8%
Confidence interval shaded · 5 deals flagged at risk · CFO can sign off.
By the numbers

What Daxonet Power BI customers report after Phase 1.

−92%
Report build time
From two days to twenty minutes
+47%
Decisions on fresh data
No more three-week-old reports
10×
ROI on first dashboard
Phase 1 typical payback
8 wk
Time to first live dashboard
Single entity · go-live milestone
The Daxonet rollout

Phase 1 in eight weeks. Discover · Model · Build · Scale.

A semantic model template, finance-led UAT and a working revenue dashboard ready in week 5. The fourth phase scales waves into multi-entity, multi-currency and embedded-portal coverage.

01
Week 1–2

Discover · KPI tree · sources audit

Sources audit, KPI tree workshop, semantic model design, license tier sizing, TCO model, governance plan.

01
02
Week 3–4

Model · semantic layer · RLS

Semantic model build, connector wiring against AutoCount, D365 or SQL, RLS rules, Microsoft Purview lineage.

02
03
Week 5–7

Build · dashboards · Copilot · embed

First three live dashboards, Copilot tuning, customer-portal embed scaffolding, mobile and Teams publishing.

03
04
Week 8 +

Scale · cutover · loop

Go-live with daily standups in week 1. RLS sign-off. Wave plan for multi-entity, multi-currency and embedded-portal handed over.

04
Why Daxonet for Microsoft Power BI

A Microsoft Solutions Partner that knows your finance ERP, your AutoCount data and your Fabric lakehouse.

10+ years on the Microsoft enterprise stack. Power BI is delivered against the same Dataverse and the same accounting data the rest of your business already runs on.

Daxonet team delivering a Microsoft Power BI implementation for a Malaysian SME
10+ years
Microsoft Solutions Partner · Power BI delivery
Daxonet · Power BI delivery

Microsoft Solutions Partner

10+ years on Power BI, D365, Microsoft Fabric and the broader Microsoft enterprise stack. Working references at Panasonic, Novelis, Raco Industries and Sorento.

10+ years

Cross-product wiring

Native connectors against AutoCount Accounting, D365 Finance, other Malaysian accounting databases and Microsoft Fabric. The semantic model is built once and reused across every dashboard.

500+ connectors

Bilingual · PDPA · Singapore region

English and 简体中文 delivery. PDPA-aligned consent on customer-facing dashboards. Singapore region data residency. RLS sign-off the auditor accepts.

PDPA-ready
About Daxonet →
FAQ

Questions Malaysian founders, finance leads and data architects ask before signing.

What is Microsoft Power BI and who is it for?
Microsoft Power BI is the Microsoft cloud business intelligence platform that lets a Malaysian business build interactive dashboards, ask plain-English questions of live data, embed analytics inside customer apps and let Copilot do the analyst work. Daxonet implements it for Malaysian SMEs running 5 to 500 staff across trading, retail, manufacturing, services and tech-led businesses · founders and finance leads who are tired of eleven versions of the same Q4 revenue spreadsheet and want one dashboard the whole team reads off.
How does Power BI license · Pro, Premium Per User, Premium Capacity, Microsoft Fabric?
Power BI is licensed in four tiers. Power BI Pro is per user and suits small teams of named report builders and viewers · the typical SME starting point. Premium Per User adds AI features, larger model sizes and paginated reports for the same per-user model. Premium Capacity is a fixed-cost capacity for organisations who want to share dashboards with unlimited free viewers and run very large datasets. Microsoft Fabric is the unified data and AI platform that includes Power BI plus a lakehouse, data warehouse, real-time analytics and Copilot · the right tier for a business consolidating its data estate. Daxonet builds a tier-by-tier TCO model before contract.
What does Copilot for Power BI actually do?
Copilot for Power BI builds reports from a one-line prompt · 'show me revenue by region for the last 12 months with the top 5 products' returns a finished page with charts, slicers and a written narrative. It summarises a dashboard for an executive audience in plain language, explains why a number moved, finds anomalies in a dataset, drafts DAX measures and writes the descriptive paragraph that sits on the report. Copilot for Power BI runs on Premium Per User, Premium Capacity and Microsoft Fabric tiers. Daxonet tunes the semantic model and the data dictionary so Copilot answers grounded in your business definitions, not generic Microsoft demos.
How does Power BI integrate with AutoCount, D365 and other Malaysian accounting databases?
Power BI ships with 500+ certified connectors. AutoCount Accounting connects through the AutoCount SQL database via the SQL Server connector · daily refresh or DirectQuery for live numbers. D365 Finance, Business Central, Sales, Customer Service and Field Service all expose Dataverse and Microsoft Fabric Link connectors · zero ETL needed. Other Malaysian accounting platforms connect through a SQL Server gateway. Excel, Google Sheets, Snowflake, Shopify and 500+ others are also covered. Daxonet builds the semantic layer once and reuses it across every dashboard.
Can Power BI dashboards be embedded inside our customer-facing app or website?
Yes. Power BI Embedded lets you drop interactive Power BI charts directly into your customer-facing web app, customer portal, partner portal or mobile app via JavaScript SDK and embed tokens. The dashboard inherits row-level security so each customer sees only their own data. Pricing is capacity-based, separate from internal Power BI Pro seats. Daxonet builds the embed scaffolding, the row-level security model and the customer onboarding flow as part of the implementation.
Is the data secure, governed and PDPA-compliant for a Malaysian business?
Yes. Power BI runs row-level security (RLS) and object-level security so each user sees only their authorised slice of data. Microsoft Sensitivity Labels and Microsoft Purview track lineage, classification and access across every dataset. Workspaces, audit logs, refresh history and dataset endorsement give the data team enterprise-grade governance. Daxonet provisions Singapore region data residency for Malaysian tenants, sets PDPA-aligned consent on any dashboards that surface customer-level data and hands the auditor a working RLS report on Day 1.
How fast does Power BI refresh, and can it handle datasets bigger than 10 million rows?
Standard refresh is scheduled · up to 8 times a day on Pro, 48 times on Premium. DirectQuery hits the source live so the dashboard always shows the latest number. Real-time streaming push datasets refresh in seconds for IoT and live operations. For datasets above 10 million rows, Daxonet moves the model to Microsoft Fabric Direct Lake or Premium Capacity composite models · the dashboard stays fast, the underlying lakehouse stays one source of truth and the cost stays predictable.
How long does a Power BI rollout take with Daxonet?
Phase 1 go-live runs eight weeks for a single Malaysian entity. Discovery, data sources audit and KPI tree design takes 1 to 2 weeks. Semantic model build, connector wiring against AutoCount, D365 or SQL, Copilot tuning and the first three live dashboards run 4 to 5 weeks. UAT with the finance and operations leads, training, RLS testing and the customer-portal embed takes 1 to 2 weeks. Cutover and a 4-week hypercare period closes Phase 1. Multi-entity, multi-country and embedded-portal rollouts add waves on the same template.
Related solutions

Where data leaders go next on daxonet.com.

Microsoft Fabric Power Apps Power Automate Daxonet AI Frontier D365 Finance Implementation Services

Ready to retire the Q4 revenue spreadsheet?

Daxonet runs a free 60-minute Microsoft Power BI discovery for Malaysian founders, finance leads and data architects. We come back with a TCO model, a license-tier recommendation, a KPI tree for your business and a phased rollout plan you can take to your CFO and your operations lead together.

Book a Free Power BI Discovery → WhatsApp the team →
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