Power BI implementation in 8 weeks, not 8 months
Scoped data sources, modelled semantic layer, and the first three executive dashboards live, governed, and adopted by your team. One fixed-scope engagement. No drift. No retainer creep.
Submit your brief → discovery call within 48 hours → scoped plan in 10 days → first dashboard live by week 4
Most Power BI rollouts stall before the chief financial officer ever opens a report
We signed off on Power BI a year ago. Finance still exports to Excel every Monday because nobody trusts the numbers in the portal. The licenses are sunk cost.
of Power BI licenses sit unused inside companies six months after rollout, per industry surveys.
spent stitching exports, reconciling totals, and answering the same Monday morning numbers question.
on a half-finished Power BI rollout before a competent partner is brought in to finish it.
Finance closes the books with one validated dashboard. Operations sees inventory and throughput on the same numbers as the warehouse floor. The chief executive officer opens one workspace and sees the entire business. The Monday morning Excel email stops.
From signed statement of work to first dashboard live in 8 weeks
Five phases, named owners, real dates. Click any phase to see the deliverables, the artefacts, and the live mock of what your team sees that week. The track auto-advances every 4 seconds.
Your team's time investment across the full 8 weeks is typically 2 to 3 hours per week: one data validation call, async sign-off on report layouts, and a final user acceptance testing session. We handle data modelling, Data Analysis Expressions, extract-transform-load, gateway setup, and publishing.
Seven deliverables. Fixed scope. Your team owns the output on day 57.
Every Redefine Power BI implementation lands these seven artefacts. The rail auto-scrolls in a loop. Hover to pause. Nothing here is a placeholder for a future statement of work.
A ranked list of every system that feeds the model, the 18 key performance indicators that matter, and the owner of each metric.
Dimensional model built for performance and clarity. Documented, version-controlled, and yours.
Repeatable transforms with documented logic. Incremental refresh configured where it matters.
Finance summary, sales pipeline, and operations throughput. Designed for the decisions, not the data dump.
On-premises data gateway clustered for high availability. Three scheduled refreshes daily, monitored.
Row-level security per role, workspace lifecycle (Dev / UAT / Prod), audit trail enabled.
Three live training sessions, recorded. A 28-page runbook your team can use without us.
- Attend one 60-minute data validation call per week
- Sign off on report layouts async (Loom or Figma)
- Grant access to source systems via your information technology process
- Attend the final user acceptance testing session and adoption training
- Write Data Analysis Expressions, M code, or fight Power Query
- Configure the on-premises gateway or workspace pipelines
- Reconcile totals against the enterprise resource planning general ledger
- Write training documentation or the runbook
A 220-person manufacturer went from 9 Excel exports to one Power BI workspace in 7 weeks
A North American component manufacturer ran finance close on nine separate Excel exports from Business Central, two legacy SQL warehouses, and a payroll system. Power BI licenses had been bought 11 months earlier. Nothing was live.
- Nine separate Excel exports stitched manually every Monday
- 11 hours of finance team time per week on reconciliation
- Chief financial officer numbers did not match plant manager numbers
- Board pack assembled in PowerPoint screenshots
- $184k spent on the previous failed rollout
- One Power BI workspace, three executive reports, daily refresh
- Finance team time on reporting cut from 11 hours to under 90 minutes
- Plant and chief financial officer read from the same validated semantic model
- Board pack auto-generated from Power BI service
- Implementation completed 1 week ahead of the 8 week plan
"The Monday morning Excel email stopped on day 49. That is the day Redefine paid for itself. The next four years are upside."
Three things that are different. Everything else is table stakes.
Every implementation lands on a signed scope with seven named deliverables and a fixed week-eight handover. No time-and-materials drift. No "discovery extension" that becomes the project. If we miss the date, we eat the overrun.
The semantic model, Data Analysis Expressions measures, Power Query flows, and runbook ship in your Git repository and your Azure tenant. Your business intelligence analyst can extend, edit, or rebuild without a single phone call to us. Unlike the typical Power BI implementation firm, whose billing model rewards opacity, ours rewards handover.
Every Microsoft Power BI implementation is delivered by certified senior engineers (PL-300 and DP-600 minimum). No bait-and-switch staffing. The person on your scoping call writes the Data Analysis Expressions in week three and runs the training in week eight.
Every month you delay implementation costs more than the implementation.
Three Power BI license seats sit unused. Finance burns 9 hours a week on Excel exports. A senior analyst spends 60% of their year on reconciliation, not analysis. That is real money.
Scoped before work starts. Line-by-line. No commitment to receive a proposal.
Three implementation shapes that cover 90% of mid-market and enterprise rollouts. The shape gets refined on the scoping call. The line items are in writing before you sign.
- 1 to 3 source systems
- 3 executive reports
- Power BI Pro workspace
- 30-day hypercare
- 4 to 8 source systems with on-premises gateway
- 7 reports across finance, sales, operations
- Row-level security and workspace pipelines
- 60-day hypercare with named engineer
- Microsoft Fabric or Premium capacity
- Lakehouse, semantic models, paginated reports
- Tenant-level governance and adoption framework
- 90-day hypercare with weekly steering call
Every shape is priced line by line on the scoping call. See the full Power BI implementation cost guide.
Submit your brief → call within 48 hours → scoped proposal in 3 days → Sprint 1 begins within 1 week of sign-off
The neighbouring engagements people pair with implementation
The full Power BI service catalogue and how it fits together.
Roadmap, source audit, and key performance indicator framework before a build starts.
Report-by-report build for teams with their own model in place.
Continuous operation, releases, and service level agreement after the rollout lands.
A 10-day audit of an existing rollout that has stalled or drifted.
Take over a failed implementation and ship it inside 90 days.
Wire Power BI to Business Central, Sales, and Finance and Operations cleanly.
Plant throughput, overall equipment effectiveness, and multi-entity finance roll-up.
Regulated reporting, row-level security by entity, anti-money laundering and risk dashboards.
What people really want to know before committing to an implementation
Most failed Power BI rollouts fail in discovery, not in build. We arrive on day one with a tested scoping framework, a signed source inventory by day five, and a frozen key performance indicator list by day seven. The actual model and report build sits inside a five-week window because everything before it is decided and signed. The other partner ran discovery as billable hours; we run it as a fixed-fee front load.
No. Week one of the implementation includes an audit of the existing model. Roughly 60% of the time we keep two-thirds of the structure and rebuild the parts that block reliability. If the existing model is sound, the implementation skips to week three and finishes ahead of the eight-week mark.
The on-premises data gateway handles legacy SQL Server back to 2008 directly. For older boxes, we extract to a staging schema via SQL Server Integration Services or a Python pipeline. The discovery week ranks each system by data quality and access friction so you know on day five exactly which sources land in the first model and which sit in a phase two backlog.
Two to three hours per week from your business sponsor, two hours per week from your information technology lead for access and gateway setup, and one hour per week from each department head whose reports we are building. The heaviest week is user acceptance testing (week six) at approximately five hours per business sponsor.
If the delay is on our side (engineering, design, gateway setup), we cover the overrun at our cost. If the delay is on the client side (delayed access, missing user acceptance testing sign-off, scope expansion), we extend at a pre-agreed weekly rate that is in the statement of work. In both cases the burn-down dashboard makes the cause visible weekly, so there are no surprises.
You get everything. PBIP source files in your Git repository, semantic model in your Azure tenant, Power Query M code documented, Data Analysis Expressions measures commented, gateway configuration documented, and a 28-page runbook. The default partner billing model keeps source files opaque. Ours puts them in your hands on day 57.
Yes, and we prefer to. As a Power BI implementation company, approximately 40% of our implementations include knowledge transfer to a named internal business intelligence analyst as a deliverable. They join the daily standups, see the build happen, and own the model the day after handover. It also accelerates the build because we have a person inside who clears access and decisions fast.
We are honest about who we are not for
The first call ended with Redefine telling us we were not ready. They wanted us to clean the source data first and come back in 60 days. No other partner did that. We came back.
- You have 100 to 2,000 employees and at least one enterprise resource planning system
- The chief financial officer sponsors the project, not information technology alone
- You want to own the build, not be locked into a retainer
- Budget is between $40k and $200k for the implementation
- You want time-and-materials with no fixed end date
- Source data quality is unknown and unaddressed
- You are a 10-person team needing a single chart
- The buyer wants a tool reseller, not a delivery partner
Not sure? Tell us your situation and we will be straight with you.
Book The Scoping Call. No Commitment. No Pitch.
Tell us about your data, the systems you have, and the dashboards you wish existed, and we will scope the Power BI implementation around them. We will send a scoped, line-by-line proposal in three business days. You read it. If it does not fit, you walk.
Submit your brief → call within 48 hours → scoped proposal in 3 days → Sprint 1 begins within 1 week of sign-off
Your team's time investment across a full build is typically 2 to 3 hours per week, one sprint review, async feedback on deliverables, and a final user acceptance testing sign-off. We handle everything else.
Call within 48 hours · scoped proposal in 3 business days · first dashboard live within 4 weeks of sign-off.
A senior engineer (not a sales representative) will review your situation and send a scoped, line-by-line proposal within three business days. If we are not a fit, we will say so on the call and recommend who is.