Power BI & Microsoft Data Architecture

Build the data platform behind the dashboard.

A useful Power BI dashboard is the final layer. Before that, you need clean data, agreed KPIs, a reliable model, secure access, automated refreshes, and a deployment process your team can trust.

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Analytics dashboard screenshot showing a global map, keyword metrics, and trend charts — Project screenshot showing the dashboard layer clients see after the data model is working.
Power BI style reporting

5+ yrs

Power BI & data work

3 UN agencies

Enterprise reporting context

15+ municipalities

Revenue analytics rollout

End-to-end

From sources to adoption

Architecture

What a complete Microsoft data stack includes

The goal is not to create more charts. The goal is to create a trusted reporting system where every number has a source, owner, definition, refresh path, and security model.

Microsoft Fabric architecture diagram showing Fabric workloads above Copilot, OneLake, and Governance — Source: Microsoft Learn, Microsoft Fabric overview.

Microsoft Power BI service screen showing Get Data, Excel, CSV, manual data entry, and published semantic model options

Source Systems

Map where data lives today: Excel, SQL Server, Azure SQL, APIs, SharePoint, CSV exports, SaaS tools, and legacy databases.

Image: Power BI Get data

Excel, SQL, APIs, SharePoint, gateways

Microsoft Fabric lakehouse architecture diagram showing data sources, ingestion, transform and store, and consume layers

Ingestion & Pipelines

Move and transform data with the right tool for the job: Fabric Data Factory, Power Query, dataflows, notebooks, or Azure Data Factory.

Image: Fabric lakehouse architecture

Fabric Data Factory, Power Query, ADF

Microsoft OneLake foundation diagram showing Fabric workloads sharing data across workspaces with unified security and governance

Storage Layer

Design the durable layer for analytics: OneLake, Lakehouse, Warehouse, SQL Server, Azure SQL, or a hybrid architecture.

Image: OneLake overview

OneLake, Lakehouse, Warehouse, SQL

Semantic Model

Build trusted business definitions with star schemas, relationships, measures, hierarchies, calendars, and reusable DAX.

Image: Power BI model view

Power BI semantic models, DAX

Example Microsoft Power BI dashboard with KPI cards and multiple business visualizations

Reports & Dashboards

Create executive dashboards, operational reports, drill-through pages, Top-N analysis, maps, trend views, and mobile layouts.

Image: Power BI dashboards

Power BI reports, bookmarks, alerts

Microsoft Purview solution areas covering data security, data governance, and data compliance

Governance & Delivery

Add the controls that make reporting production-ready: row-level security, sensitivity labels, refresh strategy, deployment pipelines, and handover docs.

Image: Microsoft Purview

RLS, Purview, pipelines, refresh

Power BI dashboards and analytics examples

Deliverables

What you get at the end

✓

KPI discovery workshop and reporting requirements document

✓

Data source inventory with ownership, refresh frequency, and quality risks

✓

Microsoft architecture recommendation: Fabric, SQL Server, Azure SQL, or hybrid

✓

ETL and transformation design with reusable Power Query or Data Factory patterns

✓

Clean star-schema data model with DAX measures and a governed KPI dictionary

✓

Power BI dashboards for executives, operations teams, and analysts

✓

Row-level security, workspace access model, and sharing strategy

✓

Scheduled refresh, incremental refresh plan, alerts, and deployment process

✓

Documentation, training session, and 30-day post-launch support

Dashboard Examples

The report types this service covers

Restaurant Power BI dashboard with sales KPIs, food category cards, Top 20 city quality chart, and yearly sale trend

Restaurant Operations Dashboard

Sales, order quality, ratings, Top-N city analysis, food category cards, and yearly sales trends.

Performance Tracker Power BI dashboard with YTD sales, budget, growth metrics, segment bars, and monthly order trend

Performance Tracker Overview

YTD sales, budget, growth, segment mix, monthly orders, and last-refresh status in one decision view.

Detailed Performance Tracker Power BI page with segment bars, sales KPIs, growth donuts, and customer trend line

Performance Detail Dashboard

Drill-down performance pages for sales by segment, customer movement, budget comparison, and growth variance.

Google Trends style analytics dashboard with world map, keyword bars, trend dots, and performance navigation

Google Trends Intelligence

Geography, rankings, trend series, keyword comparisons, and guided navigation for market research.

ATM transaction dashboard with cost analysis, monthly revenue, uptime, gross profit, and regional revenue charts

ATM Transaction Analysis

Transaction cost, maintenance, monthly revenue, uptime, gross profit, and regional performance analysis.

Implementation

A practical build process

I start with decisions, not visuals. Once the KPIs, data owners, and refresh rules are clear, the dashboard becomes the presentation layer of a system that can scale.

Discovery and KPI definition

Data source audit

Architecture design

Pipeline and model build

Dashboard design and testing

Deployment, training, and handover

Engagement Options

Data Audit

1 week

Best when you know reports are broken but do not know where the data problem starts.

Source-system reviewKPI mapData quality risksArchitecture recommendation

Dashboard Build

2-4 weeks

Best when the data sources are known and you need a production-ready Power BI experience.

Data modelDAX measuresPower BI reportRefresh setup

Complete Data Architecture

4-8 weeks

Best when you need the full foundation: ingestion, storage, model, governance, reports, and handover.

Fabric or SQL architecturePipelinesSecurityDeployment process

Ready to turn scattered data into trusted reporting?

Start with a data architecture audit.

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