Data Visualization
Power BI consulting services turn the data your company already holds, in your ERP, CRM, spreadsheets and ad accounts, into a documented semantic model and dashboards people open every Monday. As a Dhaka-based company, we build, test and hand over inside your own Power BI workspace, for international companies that need dashboards done well without a hire. A separate QA lead reconciles every figure to source before anything is published, and the semantic model, DAX measures and runbook stay in your workspace from day one.
One exit at each step. No long-term commitment at any of them. We start with one dashboard the business asks for today. Every source, measure and refresh is listed, every slow or wrong report is diagnosed, and every route to a working dashboard is costed in your own numbers.
You get a written verdict — a new dashboard, a rebuilt data model, a health check, or nothing yet.
30 minutes 01 Scope · free call
5 days 02 Diagnose · $99, credited to the pilot
2–3 weeks 03 Pilot · $1,200 fixed
4–6 weeks 04 Production · from $3,600, quoted after the pilot
Monthly 05 Managed Ops · $999 a month, optional
What is included in Power BI consulting services?
Our Power BI consulting services cover the three things a Power BI team is hired for: data architecture, a clean semantic model with documented DAX measures over your sources; dashboard development, executive-ready pages built and published in your own workspace; and governance, refresh schedules, row-level security and a runbook, so the dashboards still work after we leave.
Power BI dashboard development
Executive and team dashboards designed page by page with the people who will use them; every figure reconciled to source before publishing.
Power BI reporting
Scheduled report packs and paginated reports sent on time; subscriptions, alerts and export to PDF or Excel set up in your tenant.
Power BI implementation
Workspaces, gateways, refresh schedules, row-level security and app publishing configured in your Microsoft tenant, documented in the runbook.
Power BI development: model and DAX
Power Query transforms, a star-schema semantic model and DAX measures named, tested and documented so the next developer understands them.
Power BI analysis and performance
Slow reports profiled and rebuilt: model redesign, incremental refresh, measure optimisation and migration from Excel or legacy reports.
Governance, training and handover
Workspace roles, naming rules, a runbook and two hours of recorded training for the people who will own the dashboards.
Not included: Power BI licences and Fabric capacity, bought in your name · data entry or cleanup of paper records · work outside the agreed sources, priced first as a change.
Finance
Monthly close, cash and AR/AP dashboards from your ERP and bank exports.
Sales & marketing
Pipeline, conversion and ad-spend dashboards from CRM and ad accounts.
Operations
Throughput, SLA and exception dashboards from ticketing and workflow tools.
HR & payroll
Headcount, cost and attendance dashboards from HRIS and payroll exports.
How does Power BI consulting connect the semantic model to the dashboard?
Power BI consulting builds the dashboard on a semantic model, not on raw exports. In the example below, a star schema with one fact table and three dimensions carries 31 documented DAX measures; every visual reads from those measures, row-level security decides which region each viewer sees, and a QA lead signs off every figure before publishing.
Semantic model · star schema
Datemonth, quarter, fiscal year
Customersegment, account owner
FactSalesone row per closed deal
Regiondrives row-level security
31 DAX measures, named and documented
Executive sales dashboard
Sales overview
Region ▾Month ▾
Closed deals · August3,918
Page load time4 s
Scheduled refresh06:00
Deals by region
Revenue by month
QA lead reconciled every figure to ERPEach region sees only its own rows
Published in your workspace and refreshed daily at 06:00; Managed Ops watches every refresh.
Illustrative example. Yellow marks the step where a person decides; every visual reads only from the documented measures in the model.
How does a data visualization project run, from data model to live dashboard?
A data visualization project with us runs in five steps: a free scoping call or a five-day Power BI health check, a two-to-three-week pilot that delivers one dashboard on your own data, a four-to-six-week production build of the semantic model and dashboard set, then optional Managed Ops after handover. Every step ends with something you can stop on.
What each step builds in your Power BI tenant
| # | Step | Time | Power BI work in this step | You receive |
|---|---|---|---|---|
| 01 | Scope | 30 min | Your tenant, licences and the dashboard you need, discussed on one call; no data touched. | A pilot quote when the sources and licences are known |
| 02 | Diagnose | 5 days | Health check of the tenant, workspaces, existing model and slow or wrong reports, up to 3 reports or sources. | A written verdict: new dashboard, rebuilt model, health fixes or nothing yet |
| 03 | Pilot | 2–3 weeks | 1–2 sources connected through the gateway, semantic model and DAX measures built, one dashboard of up to 3 pages. | One dashboard in your workspace, every figure reconciled to source, and a go/no-go note |
| 04 | Production | 4–6 weeks | Full semantic model, up to 3 dashboards, scheduled reports, row-level security and refresh schedules. | The runbook, training and 30 days of free fixes |
| 05 | Managed Ops | Monthly · optional | Refresh monitoring, measure changes and new pages, up to 3 dashboard changes a month. | A monthly review call; cancel any month, everything stays in your tenant |
Prefer a Power BI developer on your team every day? Dedicated developers, three-month minimum
How long does a Power BI dashboard take?
A first Power BI dashboard usually takes three weeks: a five-day health check, then two to three weeks to connect one or two sources, build the semantic model and measures, and publish a dashboard whose every figure you can check against source. A full production build with the complete model takes four to six weeks more. The price of each step is on the price cards at the top.
Runbook Workspace roles, naming rules and refresh ownership, handed over with two hours of recorded training
Tools Power BI Desktop and Service, Power Query, DAX, SQL; Fabric and Tableau where you already use them
Communication Weekly call, shared channel, change log
Sources ERP, CRM, SQL databases, Excel and SharePoint, ad accounts via connectors or gateway
QA Every figure reconciled to source before publishing
Hosting Your Microsoft tenant, your licences, your workspace
Do you need a new dashboard, a rebuilt data model or a Power BI health check?
Not every Power BI problem needs a new dashboard. A clean model with a missing page needs a pilot; slow reports, wrong totals or four sources joined in Excel need the model rebuilt first; refresh failures and workspace sprawl need a health check before anything is built. Answer five questions and the verdict shows which one fits.
1. Do you already use Power BI?
2. Are the numbers trusted today?
3. How many data sources?
4. Do reports load in under 10 seconds?
5. Who will maintain it after handover?
A new dashboard
Power BI in use, numbers trusted, one or two sources: a pilot delivers the missing dashboard in two to three weeks.
Sample build log · executive sales dashboard
1
Sources connectedCRM and ERP via gateway; 3,918 closed deals, August
2
Semantic model builtStar schema, 4 tables, 31 DAX measures named and documented
3
Reconciled to ERPRevenue matched to the cent; 2 deals with currency variance flagged
4
QA sign-offQA lead approved · 2 fixes logged · load time 4 seconds
5
PublishedClient workspace, row-level security by region, refresh 06:00 daily
Illustrative log
Yellow = a person decides
Every figure traced to source
Every step logged
How the verdict is decided: Power BI in use and numbers trusted → a new dashboard · numbers not trusted, slow reports or four or more sources → a rebuilt data model · refresh failures or no owner → a health check · no Power BI, one clean source, one user → a spreadsheet, not us.
Why choose us as your Power BI consulting company?
A Power BI consulting company is judged on the number behind the chart, not the chart. Marketplace freelancers often work alone, with nobody checking their measures. We price each step in writing, keep a QA lead on every delivery, build in your workspace, hand over a runbook and handle personal data under Article 28 of the GDPR.
Without a checked process
!!!!!
- The same person who built the measures checks them
- Dashboards kept in the freelancer’s account until final payment
- Managed plans with a six-month minimum
- Work stops when the developer leaves
With EICRA
Power BI dashboard sign-off
Figures checked96Variances fixed2 of 2DAX measures31 documentedLoad time4 sVerdictPublished
Illustrative example
- A separate QA lead reconciles every figure to source
- Your tenant and workspace from day one
- Fixed price per step, with one exit at each step
- A named replacement within seven business days
Is it safe to outsource Power BI consulting?
Outsourcing Power BI consulting to an offshore team is safe when access, transfer and ownership are settled in writing before any data moves. As a Bangladesh-based company, we build inside your Microsoft tenant with gateway credentials held in your accounts, use read-only source access where possible, sign a data processing agreement before personal data is touched, and remove our access at handover. Reviewed By Eicra.com team
Which Power BI consulting agreements are signed, and when?
NDA — mutual, signed before any report or dashboard is shared.
DPA — processor terms under Article 28(3) of the GDPR and the equivalent national law, for any personal data.
International data transfers — standard contractual clauses or the transfer instrument your jurisdiction requires, signed before personal data moves.
Access — guest accounts in your tenant with the least workspace role that does the job; credentials never leave your accounts.
Certifications — listed only when held; none are claimed on this page.
What Power BI controls, IP and rework terms apply?
Tenant Models, dashboards and gateways built in your Microsoft tenant, never ours; nothing is hosted on our side.
Row-level security Who sees which rows is defined with you and tested before publishing.
Reconciliation Every delivered figure traced to its source; variances logged with a reason.
QA sign-off A QA lead approves every delivery before you see it.
Ownership Semantic model, DAX, dashboards and runbook are yours under the contract; our guest access is removed at handover.
Rework Free when a delivered figure fails reconciliation; new sources priced first as a change request.
What proof do you get before you pay for Power BI consulting?
Before you pay for Power BI consulting, you get evidence instead of promises: measured commitments, a pilot dashboard built from your own data that you can check line by line, and a free 30-minute review of one slow or wrong report. Client case studies with numbers are added here as clients give permission.
3 weeks
To a first working dashboard on your own data, with every figure reconciled to source.
Every figure
Reconciled to source by a separate QA lead before publishing, with variances logged with a reason.
30 days
Of free fixes after a production build, with a runbook and two hours of recorded training.
Case studies: client results with numbers are added here as clients give permission to name them. Ask on the scoping call for references in your industry.
Free 30-minute dashboard review Send one Power BI report that is slow or that nobody trusts. You get a written note on what is wrong, what it would take to fix, and whether it is worth fixing, whether or not you hire us.
What do buyers ask a Power BI consulting company?
How much do Power BI consulting services cost?
Our Power BI consulting services are fixed-price per step, and each price is on the price cards at the top: a five-day health check credited to the pilot, a pilot that delivers one dashboard on your own data in two to three weeks, a production build quoted in writing after the pilot, and optional monthly Managed Ops.
What does a Power BI consulting company do?
A Power BI consulting company designs the data architecture behind your reports, a semantic model with tested DAX measures over your sources, builds the dashboards and scheduled reports on top of it, and sets up governance: workspaces, refresh, row-level security and training. The good ones reconcile every figure to source and document the model.
Can you fix slow Power BI reports and wrong numbers?
Yes, and it is the most common job we take. Slow reports are profiled and usually fixed by rebuilding the semantic model, adding incremental refresh and rewriting heavy measures; wrong numbers are traced to source until every figure reconciles. You receive the rebuilt data visualization with a change log showing what changed and why.
Do you only do Microsoft Power BI consulting, or Tableau too?
Power BI is our main platform, and every price on this page is for Power BI. Where your team already licenses Tableau, we build there with the same model, reconciliation and runbook rules, and say so in the proposal. We do not recommend switching tools to fit us; the choice follows your licences and your maintainers.
Who owns the dashboards and the data model?
You do. The semantic model, DAX measures, dashboards, gateways and runbook are built in your Microsoft tenant and remain yours; ownership is written into the contract. We work through guest accounts with the least workspace role that does the job, sign a data processing agreement before personal data is touched, and remove our access at handover.
Start with a free 30-minute scoping call or the five-day health check.