Salesforce to Power BI, done for you
A sync tool moves rows. It does not give you a pipeline you can defend in a forecast call. A senior US-based engineer builds the semantic model, the DAX, and the report on top of your Salesforce org — then keeps it refreshing. Prepaid hours, no contracts, most builds in 3–5 business days.
Representative dashboard — sample data
Modeled, not merely synced
Getting Salesforce rows into Power BI is the easy half, and it is the half every $29-a-month tool is happy to sell you. The hard half is everything after the rows land: deciding how Opportunity relates to Account, User, Campaign, and the three custom objects your admin added in 2021; writing DAX that survives a mid-quarter stage rename; and shaping a report a VP will actually open on a Monday. A custom Salesforce Power BI dashboard is that second half, and it is the work we do for you.
This page is not a tutorial. We are not going to walk you through Get Data. We are the people you hire when the data is already flowing and the numbers still do not tie out — or when you would rather never learn what a bidirectional filter does. Senior-led, US-based, paid from prepaid hours that never expire.
What we build from Salesforce
Buy a block of prepaid Flex hours and, if you are unhappy within the first 4 hours, we refund you in full — no questions asked. Hours are deducted only for work you have reviewed and approved, there is no project minimum, and your banked hours never expire.
Why teams pick us
You send the request. A senior engineer models your org, writes the measures, and keeps the refresh alive.
Star schema over Opportunity, Account, User, Campaign, Lead, and your custom objects. Proper date table, role-playing dates for created and close, and relationships that do not silently double-count when someone slices by owner.
Win rate by segment, average sales-cycle length in days, stage-to-stage conversion, coverage ratio against quota, and period-over-period pipeline movement. Measures written once, reused everywhere, documented so your team can extend them.
Salesforce overwrites stage and amount on the record. Without snapshots you cannot answer "what did Q2 look like on day 30." We stand up dated snapshots so next quarter's retrospective is possible at all.
Salesforce meters API calls. A naive full pull on a large org burns the daily allocation and fails at 6am. We size the extraction, stage it where it makes sense, and set a refresh schedule that keeps working after we hand it over.
The .pbix, the model, the DAX, the workspace, the credentials. No vendor lock, no seat you have to keep renting to keep seeing your own pipeline. Keep us on retainer or do not — the asset stays yours either way.
Native reporting is fine until you ask it something interesting. It cannot join to anything outside Salesforce, its time intelligence is thin, and the report builder forces every question into one object's grouping. The moment a leadership question spans two systems or two years, you are back in a spreadsheet, reconciling by hand.
Three walls show up in order. First, cross-source joins: closed-won deals live in Salesforce and the invoices that prove they were real live in accounting, and no Salesforce report will ever put them side by side. Second, time intelligence: comparing this quarter to the same quarter last year, or tracking a 90-day rolling win rate, means fighting the report builder rather than asking the question. Third, layout: dashboards cap out, filters are clumsy, and there is no honest way to build a single executive page that mixes bookings, coverage, cycle length, and renewals. Every workaround becomes another export, and exports rot.
The set most revenue teams end up wanting: pipeline and funnel by stage, forecast versus quota with coverage ratio, win rate and sales-cycle length, rep and team leaderboards, lead source ROI back to campaign spend, churn and renewals, and activity tracking. Then the one Salesforce cannot do at all — the same pipeline blended with finance data.
Pipeline and funnel by stage shows what is in each stage, how long it has been sitting there, and where deals actually die. Forecast versus quota puts commit, best case, and closed against target with a coverage ratio that updates itself. Win rate and cycle length get sliced by segment, source, product, and rep, which is when the uncomfortable patterns finally surface. Leaderboards rank without shaming, because attainment is shown against quota rather than raw dollars. Lead source ROI ties Campaign back to closed-won revenue instead of to MQL counts. Churn and renewals track the renewal opportunities most orgs bury in a custom object. Activity tracking correlates calls, emails, and meetings with outcomes rather than treating volume as virtue. And blending in accounting data — booked versus billed versus collected on one page — is the report that most often ends the argument between sales and finance. If you want the deeper mechanics behind these measures, our Power BI data modeling and DAX service covers exactly that layer.
Both have a job. Native reporting is excellent for an operational list a rep works from today. A semantic model is what you need when the question spans systems, spans time, or has to be trusted in a board deck. The honest comparison, dimension by dimension:
| Dimension | Native Salesforce reporting | Custom Power BI semantic model |
|---|---|---|
| Cross-source joins | Salesforce data only | Salesforce joined to accounting, product, support, spreadsheets |
| Pipeline history | Current values overwrite prior stage and amount | Dated snapshots preserve how the quarter actually developed |
| Time intelligence | Limited period comparisons, awkward rolling windows | YoY, QoQ, rolling 90-day, same-period-last-year via DAX |
| Custom metrics | Formula fields and report-level formulas | Reusable measures: win rate, cycle length, coverage ratio |
| Refresh | Live, but bounded by report and dashboard limits | Scheduled refresh sized to your Salesforce API allocation |
| Who builds it | Your admin, between everything else they own | A senior engineer, from prepaid hours, in 3–5 business days |
| Cost model | Included in your Salesforce licensing | Prepaid Flex hours from $100/hour that never expire |
Power BI ships with two Salesforce connectors and the choice matters. Salesforce Objects returns raw records we can model. Salesforce Reports returns a finished Salesforce report with its row cap and its grouping already baked in. We almost always take the objects, because a model built on someone else's report is a model you cannot change.
Microsoft documents both paths and their authentication in the Salesforce Objects connector reference (opens in new tab). From there the real constraints are yours, not Microsoft's. Salesforce meters API calls per 24 hours, so on a large org a naive nightly full pull will eventually blow the allocation and the refresh will fail at 6am on the day of the board meeting. We size the extraction against your actual allocation, pull incrementally where the objects support it, and for big orgs stage the data into a database or lakehouse first so Power BI refreshes from there instead of hammering the API. Custom objects and custom fields come through the same connection; picklists arrive as API values, so we translate them to the labels your team says out loud. Multi-currency orgs need the corporate currency and the dated conversion rates brought in deliberately, or every roll-up quietly lies. Scheduled refresh is then set to your cadence and monitored from your banked hours — the maintenance half that a sync tool leaves entirely to you.
Because Salesforce is a system of record for the present, not the past. When a deal moves from Proposal to Closed Won, the stage field is overwritten. The old value is gone unless field history tracking was capturing it or something wrote a snapshot. No connector, and no consultant, can reconstruct what nothing recorded.
This is the single most expensive thing teams discover late. You want to know what your Q2 pipeline looked like on day 30 versus day 60, how much of it was already slipping, and what your true stage-conversion rates are — and the data to answer that was silently destroyed by normal usage. The fix is unglamorous: capture a dated snapshot of open opportunities on a schedule, store it outside Salesforce, and let it accumulate. Where field history tracking is already switched on for stage and amount, we can reconstruct part of the past from it, and we will tell you plainly how far back it goes. Either way, the sooner snapshots start, the sooner pipeline retrospectives become possible. Starting them is usually the first thing we do.
You buy prepaid Flex hours that never expire: Starter 20h at $125/hr ($2,500), Growth 40h at $115/hr ($4,600), or Power 80h at $100/hr ($8,000). A first Salesforce dashboard typically fits inside one block. Most focused builds ship in 3–5 business days after you approve the scope estimate.
You email the request, we reply with a scope and the hours it will take, and nothing is deducted until you approve. There is no project minimum and no retainer — refill only when you want more. Larger programs (multi-org consolidation, a full snapshot pipeline, embedded delivery) get a clear timeline up front rather than a vague promise. If your reporting needs run wider than sales, our Power BI dashboard development service covers the general build, and teams whose Salesforce sits next to a services P&L usually want Power BI for professional services firms. Finance-heavy shops often pair this with our custom QuickBooks Power BI dashboard so bookings and billings finally reconcile in one model. If your CRM is Dynamics rather than Salesforce, the Dynamics 365 Power BI dashboard build covers the same pipeline and activity reporting. Agencies running their book of business in Salesforce can also see Power BI for insurance brokers.
Sales leaders, RevOps teams, and founders who run the business on Salesforce, have outgrown native reports, and have no in-house BI person to hand this to. Also teams who bought a sync tool, got the rows, and discovered that rows are not a report. If your CRM is HubSpot rather than Salesforce, we build the same reporting from a custom HubSpot Power BI dashboard, and teams running the pipeline in Zoho can see our Zoho reporting build; subscription businesses should start with our SaaS ARR and churn dashboard work.
It fits best when someone is already paying for the gap in hours: the admin rebuilding the same forecast view every Friday, the RevOps analyst reconciling Salesforce against the ledger by hand, the VP who does not trust the number in the deck. We are Microsoft-certified and US-based, and the whole build is senior-led end to end. Contact is form-only — send the request and we will reply with a scope estimate. You can read how prepaid Flex hours work before you commit to anything.
business days, typical
hours, never expire
own everything
A first Salesforce build usually fits inside one Flex block, and hours deduct only for work you approve. See Flex pricing →
Flex pricing
Prepaid senior-led Power BI hours. They never expire, and they cover the build, the fixes, and the refresh afterwards.
Starter
20 hours
$125 /hour
$2,500 prepaid
Growth
40 hours
$115 /hour
$4,600 prepaid
Power
80 hours
$100 /hour
$8,000 prepaid
Full refund if you are unhappy within the first 4 hours of your block — no questions asked.
How it works
Tell us which objects matter, which custom fields carry meaning, and what your leadership team keeps asking for. We review the org, then reply with a scope and hours estimate before any work begins.
A senior US-based engineer connects Salesforce, builds the star schema and DAX, sets up snapshots for pipeline history, blends in finance data if you need it, and validates every total against your org.
We publish to your workspace, set a refresh schedule that respects your API allocation, and hand over the file, model, DAX, and credentials. You own it all; we maintain it from your banked hours.
Representative perspective
We had the Salesforce data flowing into Power BI already. What we did not have was a model anyone believed. Getting the relationships and the win-rate measures written properly is what made the forecast call short.VP Sales, mid-market SaaS
Representative perspective
Nobody told us Salesforce overwrites the stage, so our pipeline history simply did not exist. Snapshots started the week we engaged, and a quarter later we could finally see where deals were slipping.RevOps manager, B2B services
Tell us what your Salesforce org looks like and what leadership keeps asking for. We will scope the task and tell you the hours before any work begins — drawn from prepaid Flex hours that never expire, with no project minimums and no obligation.
FAQ
A sync tool is cheaper because it does less. It copies rows into a destination and stops there. What it cannot do is decide how Opportunity, Account, User, and your custom objects relate, write the DAX for win rate and cycle length, or design a report your VP trusts. That modeling work is what we do.
Usually Salesforce Objects, because it gives us raw records we can model properly. The Reports connector returns a finished Salesforce report, row limits and all, which locks you into someone else's grouping. For large orgs we often stage the objects into a database first so refresh stays inside your API limits.
Yes, and most orgs need it. Custom objects, custom fields, record types, and picklists all come through the object-level connection. We map the ones that carry meaning, translate picklist API values into the labels your team actually says out loud, and leave the noise out of the model.
Only if something captured it. Salesforce overwrites the current stage and amount on the Opportunity record, so yesterday's pipeline is gone unless field history or a snapshot preserved it. We set up dated snapshots going forward, and where history tracking already exists we can reconstruct part of the past from it.
That is one of the strongest reasons to leave native reporting. Salesforce reports only see Salesforce. In a Power BI model we join closed-won deals to invoices, payments, and delivery cost, so a single page shows booked versus billed versus collected instead of three tools disagreeing.
Book a free demo
Tell us the task. We scope it, you approve, and a senior consultant delivers — typically in 3–5 business days. Prepaid hours that never expire.
The fastest way to reach us is the form — tell us the task and we'll reply within one business day.