Automation & data
Power BI Dashboard Development
Microsoft Power BI implementation: semantic models, DAX measures, row-level security, and refresh you can operate—so ops and leadership share one agreed picture.
Who this is for
Teams that need Microsoft Power BI as a governed reporting platform—not a folder of orphaned .pbix files.
- Finance, ops, and supply-chain leaders tired of month-end pack assembly
- IT / BI owners who need models, security, and refresh ownership
- Businesses replacing spreadsheet “dashboards” with Power BI apps
- Multi-site teams that need row-level security by plant, region, or customer
The problem Power BI must solve
Licenses are easy to buy. A durable semantic model, agreed measures, and refresh that fails loudly—with a named owner—are the hard part.
- Conflicting KPIs across Excel packs, screenshots, and ad-hoc Power BI files
- Visuals on flat exports that break when columns or filters change
- No gateway, schedule, or failure path—so numbers go stale overnight
- Everyone sees everything, or nobody can open the report without the author
What we implement in Power BI
Requirements & metric definition
Audiences, decisions, grain, and written definitions for each measure before any visual polish.
Source assessment & Power Query
Source fitness, Power Query transforms, and validation at the grain you report on—Excel, SQL, Access, ERP extracts, SharePoint, warehouses.
Semantic model & DAX
Relationships, date tables, measure tables, and documented DAX your team can extend without rewriting every page.
RLS & workspace ownership
Row-level security roles, workspace apps, and clear ownership so access is not “ask the author for the file.”
Gateway, refresh & storage mode
Gateway design, Import vs DirectQuery (and hybrids where they fit), incremental refresh when justified, failure alerts, and a runbook for broken refreshes.
Lifecycle, licensing & performance
Dev / test / production publishing, change control for new measures, capacity and licensing assumptions confirmed with your tenancy, and performance checks on busy pages.
Our approach
Metric & source workshop
Lock KPI definitions, audiences, refresh cadence, storage-mode fit, and system-of-record before visual work.
Model, security & workspace design
Design the semantic model, RLS, gateway path, workspace layout, and acceptance tests for totals and edge filters.
Build, validate & harden refresh
Implement Power Query, DAX, pages, and schedules. Reconcile to agreed source packs. Test RLS with real identities—not only admin views.
Publish, document, hand over
Publish apps, train consumers and authors, deliver the measure dictionary and failure runbook, then optionally keep maintenance for source and KPI change.
When Power BI is not the right fit
We say so when another path is clearer. Power BI is not automatic for every reporting need.
- Source data is too unreliable to trust—fix sources first
- You need transactional data entry, not analytical views
- A one-page PDF pack from Excel still matches the decision cadence
- Licensing or capacity constraints make a lighter reporting approach more honest
Broader, platform-neutral reporting work stays on operations dashboard & reporting. Manufacturing-specific packs sit under manufacturing reporting automation.
What you get
Deliverables
- Published semantic model and report pages / app
- DAX measure dictionary and source mapping
- Gateway / refresh configuration and failure runbook
- RLS roles and workspace publishing plan
- Licensing and capacity assumptions recorded in scope
Training & handoff
- Consumer training for filters and drill-through
- Author / admin training for refresh and workspace hygiene
- Change path for new KPIs without unofficial .pbix forks
- 30-day support period included
Support terms
- 30 days of included fixes against agreed scope
- Optional ongoing maintenance for sources and KPIs
- Reply the next working day
- Written change requests when scope expands
Timeline: depends on source complexity, security, storage mode, and number of audiences. We confirm a fixed scope and schedule after assessment—not a generic week count.
Related implementation scenario
Type C — implementation scenario. Sample framing for finance reporting discipline; not a verified Power BI engagement outcome.
Finance month-end reporting pack
Illustrates the same problem class—manual compilation from multiple sources into a trusted management view. Useful as a conversation starter for Power BI model and refresh design.
Common questions
How is this different from your reporting service?
Operations dashboard & reporting stays platform-neutral (metrics, source quality, custom options). This page is Microsoft Power BI–specific: models, DAX, RLS, gateways, and workspace lifecycle.
Do you always use DirectQuery for “real-time”?
No. Storage mode is a design choice. Many operational packs fit Import with a clear refresh schedule. DirectQuery only where latency and source load justify it—Power BI is not automatically real-time.
Will Excel KPIs transfer as-is?
We reconcile definitions to your packs. Some Excel logic must become DAX; we document differences so leadership is not surprised.
Do you set up row-level security?
Yes, when different teams must see different slices of the same model. Roles are tested with production identities before go-live.
Who owns the workspace after handover?
You do. We document admins, app audiences, refresh ownership, and how new measures enter the change path.
Can you train our analysts?
Yes. Author training and a measure dictionary are part of governed delivery so extensions stay inside the model—not in unofficial copies.
Next step
Share your sources, KPI list, and Microsoft tenancy constraints. We review fit, risks, and a fixed-scope plan—no obligation.
Schedule a free consultationDefined scope agreed up front · Free initial consultation · No obligation