Dashboards leaders use every week
Power BI dashboard development around each leader's decisions, with drill-down and mobile layouts. Each page answers one question.
Learn more about Dashboard Development Services →Power BI consulting that turns ERP, CRM and finance data into governed dashboards your CFO, COO and CMO use to decide, not debate.
Weekly dashboard views, first 6 months after launch
So what: Executives keep opening dashboards when every figure comes from one governed model.
Each report calculates revenue differently, so leaders argue about figures.
Unplanned models and heavy DAX make pages slow and refreshes unreliable.
Reports are built for analysts, not for quick leadership answers.
Nobody owns the workspace, so definitions drift.
Good Power BI consulting depends on clean data, shared definitions and people who use the reports. Our Power BI services cover all three.
Power BI dashboard development around each leader's decisions, with drill-down and mobile layouts. Each page answers one question.
Learn more about Dashboard Development Services →Workspaces, gateways, connections and a star-schema model built in Power Query and DAX. Figures are reconciled to finance before go-live.
A Power BI audit and health check of models, DAX, refresh, security and licensing, ranked by impact. You decide what to fix first.
Monitoring, changes and new reports from a named consultant. Requests are prioritized each month.
Power BI coaching for analysts on modeling and DAX, and for managers on reading dashboards. Your team gains independence.
Guidance on Microsoft Fabric, row-level security and governed, shared semantic models. It grows with your data.
You can hire a Power BI consultant for one project, or an outsourced Power BI developer every month. Either way, scope starts from the decisions the reports must support. We connect Power BI to NetSuite, Odoo, Zoho, QuickBooks, Salesforce, HubSpot, GA4 and data warehouses that combine them.
The insight behind our approach is simple. Visuals are rarely what breaks a Power BI project. Data quality, unclear definitions and low adoption are. So each service below fixes one of those causes, and together they give leaders a single source of truth they open every week.
These Power BI dashboard examples run on demo data. Each one is built for a single decision. In discovery we adapt them to your systems and definitions.
Opex vs budget by cost center, Q3, $K
So what: Start cost review in Marketing and IT; the other centers are within 4% of budget.
| Cost center | Actual $K | Budget $K | Variance |
|---|---|---|---|
| Marketing | 1,320 | 1,150 | +15% |
| IT | 980 | 850 | +15% |
| G&A | 740 | 750 | -1% |
| Sales | 1,450 | 1,400 | +4% |
| Operations | 1,610 | 1,600 | +1% |
Pipeline per $1 spent by channel, last 2 quarters
So what: Shift part of the events budget to paid search and organic next quarter.
| Channel | Spend $K | Pipeline $K | Return |
|---|---|---|---|
| Paid search | 320 | 1,664 | 5.2x |
| Organic | 180 | 828 | 4.6x |
| 95 | 361 | 3.8x | |
| Alliances | 150 | 465 | 3.1x |
| Events | 410 | 984 | 2.4x |
Capacity use by site, last 6 months, %
So what: Add capacity at North first; South and West still have room.
| Site | Capacity use | Cycle time | Backlog |
|---|---|---|---|
| North | 97% | 6.1 days | 640 |
| South | 83% | 4.2 days | 380 |
| West | 76% | 3.6 days | 220 |
Revenue, gross margin, operating expenses against budget and cash by entity.
Marketing-sourced pipeline, cost per lead and return by channel.
Order cycle time, on-time delivery, capacity use and backlog by site.
Five steps keep the project on the numbers that matter.
Agreed goals. We list the decisions, users and KPIs the reports must serve, and map every data source.
Tables, relationships and refresh logic are documented in plain English.
A DAX measure library lists each KPI's business definition and owner.
Workspaces, roles, row-level security and refresh monitoring are set up and documented.
Training sessions and a runbook cover routine changes and fixes.
Price depends on data sources, reports and the support you need after go-live. We quote after a discovery call.
Health check: fixed-scope review, ranked fixes.
Project: fixed scope per phase.
Fractional or embedded data team.
Advisory for your BI team.
2 questions. We suggest one engagement model. Nothing is sent anywhere.
A Power BI developer builds reports, models and DAX to a specification. A Power BI consultant also writes that specification: which decisions the reports support, which KPIs matter and how data is governed. As a Power BI consulting company, we combine both roles, so strategy and build stay with one team and less is lost in handover.
Power BI Pro is licensed per user and suits teams that share reports internally. Premium Per User adds larger models and advanced features for each licensed user. Microsoft Fabric capacity covers Power BI plus data engineering and warehousing on shared compute; from F64, viewers can read shared content without a Pro license. We recommend a license mix based on your users, data volumes and sharing needs.
Cost depends on the number of data sources, the state of your data, the number of reports and the support you need after launch. We scope each engagement after a discovery call. Options include fixed-scope health checks, phased projects, monthly fractional support and advisory retainers, so you can match the model to your budget.
Timelines depend mostly on data readiness and the number of sources. We plan in phases and deliver a first working dashboard on validated data early, then add sources and departments. The discovery call produces a phased plan with milestones, so you know what arrives when before work starts.
Yes. We connect Power BI to NetSuite, Odoo, Zoho, QuickBooks, Salesforce, HubSpot, GA4 and most databases, through native connectors, ODBC, APIs or a data warehouse. Where several systems hold the same customer or product, we align keys and definitions first, so dashboards reconcile with your finance records.
Yes. A Power BI health check reviews your models, DAX, refresh and security and ranks fixes by impact. We then implement the fixes or coach your team to do it. If you are still choosing a tool, our Power BI vs Tableau guide compares it with Tableau and Looker.
Share your workspace and the decisions it should support. We review the model, DAX, refresh, security and licensing. You get a ranked fix list and a license recommendation. Book a consultation to schedule it.
The main benefit of Power BI consulting is one version of the numbers.
Revenue, margin and pipeline are defined once. Leadership meetings move from checking figures to acting on them.
The second benefit is speed. A well-built model refreshes on time and loads fast. Managers answer their own follow-up questions without waiting for an analyst.
Third, adoption. Each page answers a question the CFO, COO, CMO or RevOps lead already asks every week. That is why people keep opening it.
Fourth, lower long-term cost. Documentation, governance and training let your team extend reports without rebuilding them when a source changes.
Finally, a base for what comes next. Clean, governed data in Power BI is the starting point for embedded analytics, process automation and AI use cases.
Each of these benefits supports a concrete decision: where to cut cost, which channels to fund, where to add capacity.