Get on a call with us to see how we can help you
Get a QuoteWe build the semantic models, DAX measures, and Power BI reports your finance and operations teams actually open. Scoped before work starts. Prototype in week 2. Go-live with documentation, not handover panic.
Submit your brief › discovery call within 48 hours › scoped proposal in 5 days › first report prototype within 2 weeks of sign-off
Your team's time investment 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, DAX, extract-transform-load, and publishing.

A Redefine-built finance dashboard delivered to a mid-market services client.

Most internal Power BI builds stall at the same three places: a data model nobody trusts, DAX measures that disagree row-to-row, and a publish pipeline that ships through someone's laptop. Here is what changes when development is run as a real engineering discipline.
One PBIX file living on a developer's laptop. No source control. No way to roll back a broken measure.
DAX written by feel. Same measure named three different ways across pages. Numbers disagree depending which page you open.
Star schema? Nope. 14 flat tables joined by best guess. Refresh takes 47 minutes and times out twice a week.
Publish via File, then Publish. No staged workspace. Finance opens Monday's report and a column is gone.
Zero documentation. When the developer leaves, the model becomes a haunted artefact nobody dares change.
Tabular model in Git. Every DAX measure, every relationship, every parameter under source control with full diff history.
DAX style guide. One canonical measure per business concept. Naming conventions enforced. Variance under 0.01% across pages.
Star schema by default. Fact and dimension tables. Aggregations where they pay back. Refresh drops to 4 to 7 minutes.
Dev, Test, and Production workspaces with deployment pipelines. Finance never sees a broken report in production.
Living documentation. Lineage diagrams, measure dictionary, key performance indicator definitions. New analyst onboards in days, not months.
Every Power BI build moves through six engineering gates. Click a node to inspect the deliverable, the tooling, and what your team signs off on. The diagram advances on its own every four seconds. Click any node to take control.
We catalog every system that feeds the future report and lock down what each key performance indicator actually means before we touch DAX.
Source list, key performance indicator dictionary version 1, and access requests. Typical effort: one 60-minute call plus async review.
Fact and dimension tables, conformed dates, role-playing dimensions, and aggregations where they pay back.
One canonical measure per business concept. Variance under 0.01% across every page. Style guide enforced.
Revenue Year-to-Date = CALCULATE( [Revenue], DATESYTD( dim_date[Date] ) ) Revenue Year-over-Year % = DIVIDE( [Revenue] - [Revenue Prior Year], [Revenue Prior Year] )
Themed, accessible, mobile-aware layouts. Drillthrough pages. Bookmark navigation. Tooltip pages where they help.
Three Power BI workspaces wired to a deployment pipeline. Your team runs user acceptance testing in the test workspace. Production never gets a broken report.
Your team owns it. No vendor lock-in. No haunted PBIX file on a former contractor's laptop.
Five build tracks. Click any row to see exactly what ships inside it, the tools we use, and what your team signs off on. No black boxes, no "trust us" handovers.
Refresh schedule, gateway owner list, and source credentials policy. Effort: one 45-minute review.
Schema diagram, row-level security role matrix, and key performance indicator definitions. Effort: one workshop plus async review.
Measure dictionary version 1 and 10 golden-record test cases. Effort: one finance validation call.
Prototype review, user acceptance testing script, and final layout walkthrough. Effort: 2 reviews of 60 minutes each.
Every artefact lives in your tenant and your Git repository. No vendor lock-in.
Need a feature you do not see? Most engagements add one custom track for industry-specific scenarios (manufacturing overall equipment effectiveness, healthcare claims, retail recency-frequency-monetary analysis). Tell us during scoping.

A Redefine-built tabular model open in Power BI Desktop.

Three financial planning and analysis analysts stopped exporting Excel pivot tables on Mondays. Variance commentary moved from Thursday to Tuesday. Chief financial officer close-day moved from day 9 to day 5.

A 1,400-person industrial services group operating across 12 regions on Dynamics 365 Finance and Operations.
Field maintenance and facilities contracts for commercial real estate and manufacturing clients.
Three financial planning and analysis analysts spent every Monday exporting general ledger extracts to Excel, building pivot tables, and emailing PDFs. Numbers disagreed across departments. The chief financial officer close pack landed on day 9.
We built one semantic model on top of the Dynamics 365 Finance and Operations finance dimensions, 62 DAX measures with documented test cases, and three Power BI reports (executive overview, regional profit and loss, and accounts receivable aging). Refresh runs at 06:00 daily. The Monday pivot ritual stopped after week 6. Close-day moved to day 5 within one quarter.
A 200-person mid-market business pays roughly the cost of a senior financial planning and analysis salary every year just to keep producing reports the old way. The work is the same every month: pull, pivot, format, email, answer the same five clarifying questions, repeat.
A scoped Power BI development engagement converts that recurring burn into a one-off build. The semantic model, DAX library, and three core reports typically pay back in 4 to 7 months. After that, the model is yours, the time savings compound, and analysts move from spreadsheet plumbing to actual analysis.
Caption below each card shows the industry sector and the type of report. More samples available on request.






More samples available on request. Request samples built for your industry.
Most Power BI projects from large implementation partners get delivered hour-by-hour against an open scope. Ours do not. Here is the discipline we hold to on every engagement.
Six to ten weeks from kick-off to production for a typical scope: one semantic model, 40 to 80 DAX measures, and two to four report pages. Larger scopes (multi-region profit and loss, supply chain) run 12 to 16 weeks. We share the timeline as part of the scoped proposal in week 1.
Fixed scope, fixed fee per sprint. You see every line item in the proposal before signing. Out-of-scope requests get re-scoped as a separate work order, not added silently to the next invoice.
You do. Every artefact ships into your Power BI tenant and your Git repository. The tabular model, DAX library, deployment pipeline, lineage documentation, and recorded training are yours. No vendor lock-in, no annual retainer required to keep using what we built.
Yes. Most engagements pair a Redefine senior developer with one or two of your analysts. Your team is in every code review, every user acceptance testing session, and on every Git pull request. By the end they are confident extending the model without us.
Dynamics 365 (Finance and Operations, Business Central, Customer Engagement), SAP, NetSuite, Salesforce, HubSpot, Azure SQL, Synapse, Fabric, Snowflake, SharePoint, Azure Data Lake Storage, REST application programming interfaces, and most CSV or flat-file feeds. If a source is not on this list we build a custom connector during sprint 1.
Row-level security roles map to your existing Azure Active Directory groups. We document the role matrix and validate it during user acceptance testing. For SOC 2 and HIPAA scenarios, we work inside your existing tenant policies (sensitivity labels, data loss prevention, conditional access) and never extract production data to our environment.
The 30-day stabilization window covers immediate fixes at no extra charge. After that, you can either extend your team's ownership using the documentation and recorded training, or move to a managed support agreement with a defined service-level agreement. Either path is yours to choose.
We turn down roughly 1 in 4 development engagements because the timing is wrong or the data foundation is not ready. Better to know now than three weeks in.
Not sure? Tell us your situation and we will be straight with you.
No commitment. No pitch. We review the brief, share questions back within 48 hours, and send a line-by-line scoped proposal within 5 business days.
Submit your brief › call within 48 hours › scoped proposal in 3 days › Sprint 1 begins within 1 week of sign-off
Call within 48 hours · proposal in 5 business days · first prototype within 2 weeks of sign-off
We will review your reporting situation and send a scoped proposal within 3 to 5 business days. No pitch deck, no upsell: just the line items and the timeline.