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Get a QuoteTransparent ranges, honest scoping, and a return on investment model that shows you the return before you sign anything. No vague "contact us for pricing" and no hidden surprises mid-project.
140+ Power BI projects completed · 80+ businesses served

Every pricing page in the Power BI evaluation cluster. Use these to compare service types, scope your engagement, or build a budget before you talk to us.
Quantify the business case before you buy. Our return on investment assessment maps your current reporting spend, manual hours, and decision latency to a projected return.

Hourly, project, and retainer rates for Power BI consulting engagements. Includes discovery, architecture, and advisory phases.
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You spend weeks in discovery calls before learning the number is three times your budget. No ranges, no ballpark, no escape.
A consultant quotes 10 days. The project takes 60. The change order lands after the relationship is already strained.
The cost is presented in isolation. No context about what the reports replace, what decisions get faster, or what the annual value of better data is.
Most Power BI consultancies treat pricing as a negotiation tool. We treat it as a trust signal.
| Evaluation factor | Typical consultancy | Redefine |
|---|---|---|
| Published pricing ranges | ||
| Line-item scoped proposals | Sometimes | |
| Return on investment model included in proposal | ||
| No-commitment scoping call | Varies | |
| Engagement flexibility (project / retainer / T&M) | T&M only | |
| Microsoft certified Power BI partner | Sometimes |
Adjust the inputs to your team's reality. The calculator shows your annual return against a typical investment, giving you the business case before you talk to us.
Annual cost of manual reporting
in staff time spent building reports that Power BI automates
Estimated annual value unlocked
combining reporting time recovered and faster decision velocity
Estimated payback period
based on a mid-range implementation engagement
Submit brief → call within 48 hours → proposal in 3 days
The factors that move a Power BI project from one tier to the next. Understand these before you request a quote and your proposal will be sharper.
Connecting Power BI to a single SQL Server is a day. Connecting it to six enterprise resource planning systems, a customer relationship management platform, and three spreadsheet workflows is a month. Your source landscape is the single biggest driver of implementation cost.

One executive summary versus fifteen department-specific reports. Each report carries design, DAX logic, and testing time. Scope the report list early.
A star-schema model with 5 tables versus a complex fact-heavy model with 40 tables, calculated columns, and row-level security. Model depth drives DAX hours.
Power BI Pro at $10 per user per month versus Power BI Premium Per User at $20 versus a Premium capacity license. The right choice depends on your user count and sharing model.
Row-level security, workspace governance, sensitivity labels, and audit logging all add implementation time. Regulated industries add compliance review overhead.
Fixed scope, fixed price. Best for well-defined implementation work: a specific number of reports, a defined data model, a single data source migration. Budget certainty from day one.
Monthly hours for ongoing support, new report development, model changes, and governance updates. Best for organizations that need a Power BI team without hiring one.
Hourly billing with weekly time tracking and approval. Best for exploratory work, proof-of-concept builds, or complex integrations where scope is hard to define upfront.

Enterprise Apparel and Retail Organization
RetailA multi-channel apparel retailer managing high invoice volumes across ERP systems, with complex accounts receivable and customer credit cycles.
The organization lacked clear visibility into unpaid invoices and customer payment behavior across ERP systems. Existing reporting was fragmented and reactive, making it difficult to prioritize collection efforts or identify high-risk accounts before they aged further.
Power BI Analytics, Predictive Modeling, ERP Data Integration, Revenue Recovery Dashboards
improvement in revenue recovery targeting effectiveness
Reporting and analysis time was significantly reduced, enabling the collections team to prioritize accounts based on predictive risk scores rather than manual review. A centralized analytics model gave leadership consistent, trusted data for the first time.
We'll review your situation and send a scoped proposal with real pricing ranges and a return on investment model within 3 business days.
Call within 48 hours
We review every brief personally
Proposal in 3 days
Line-item scope with return on investment model
140+ projects completed
Across manufacturing, retail, software as a service
No commitment required
Proposal is free, no obligation
Call within 48 hours · Proposal in 3 days · Sprint 1 within 1 week of sign-off
We'll review your situation and send a scoped proposal with a return on investment model within 3 business days. You'll hear from us by phone first.
No vague quotes. No discovery fee. A line-item proposal with real pricing ranges and a return on investment model, delivered within 3 business days of your brief.
