Step 01
Discover
Clarify the decisions, owners, sources, constraints, and success measures.
Services
You already have the data in CRM, ERP, finance, and spreadsheets. We connect those sources into Power BI so one dashboard can show the full picture—without another Monday merge.
Where most teams start
The engagements we lead with when the real problem is reporting—connecting sources, building dashboards, migrating Excel packs, and keeping numbers trustworthy.
Connect the systems you already use and leave with a clear place to report—before another orphan dashboard appears.
Build 1–2 live dashboard pages that pull from multiple sources—not a screenshot of Excel pasted into Power BI.
A leadership scorecard that matches the close, with drill to drivers—usable in the room without a bridge slide deck.
Fix the calculations that make pages slow or disagree with finance—and document who owns each measure.
Clean up data prep so refresh finishes on time—and stop hard-coding one analyst’s laptop path.
Scheduled pipelines into clean tables Power BI can report from—not overnight CSV dumps.
Inventory the linked workbooks, dual-run a close or two, then cut over when Power BI matches the pack you trust.
SQL reporting objects Power BI can use safely—so dashboards do not slow down order entry at 9am.
Workspaces, connections, and your first live report delivered as a cutover—not a folder of half-finished files.
Mark official reports, name owners, and retire shadow dashboards before they reach executives.
Put Power BI inside your product so each customer only sees their own data—sized for real traffic.
Honest answer on when Fabric helps reporting—and when your current Power BI approach is enough.
One shared dashboard, different rows per person—tested so regions and customers never see each other’s data.
Stop reloading years of history every night—only bring in what changed, and prove late rows still appear.
Connect on-prem data so morning reports refresh without one laptop left logged in overnight.
Service directory
Looking for a specific need—dashboards, Excel migration, training, or technical fix? Open a category.
Delivery process
Every engagement follows the same rhythm: discover the decision, design the model, build the reports, and adopt with ownership.
Step 01
Clarify the decisions, owners, sources, constraints, and success measures.
Step 02
Define KPIs, model structure, security, refresh, and the first release scope.
Step 03
Develop transformations, measures, and dashboards in short review cycles.
Step 04
Validate, train, document ownership, and leave a maintainable improvement path.
Related pages that deepen the same subject—services, industries, integrations, and proof.
Why teams trust Power BI Analytics
Power BI Analytics combines Power BI craft with business process discipline—so leaders get numbers they can act on.
14
Years building software & automation
What to expect in an engagement
Book a free consultation to discuss your Power BI priorities, data landscape, and a practical first release.