Service · Data & BI

Power BI dashboard development at a fixed price

Power BI dashboards from messy sources to governed reports: data modeling, DAX, row-level security and scheduled refresh. From $1,900 in 1-3 weeks, fixed price.

Price and timeline
Single dashboardFrom $1,9001–3 weeksOne dashboard on a clean data model.
Departmental suiteFrom $4,900Fixed priceSeveral dashboards on one shared data model.
Pipeline and warehouseQuoted per scopeAfter a callWhen the data needs collecting and checking before it can be shown.
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01Who it's for

Teams living in spreadsheets

Numbers exported, cleaned and pasted together by hand every week.

Managers who see numbers late

Decisions made on last week's picture.

Several systems, no single truth

Sales, finance and operations each with their own number.

Power BI users who are stuck

Reports that are slow, wrong or that nobody trusts.

02What you get

What you get,in writing.

  • Power BI dashboards built around real questions
  • A data model your reports share
  • DAX measures for your KPIs
  • Row-level security where people should only see their own data
  • Scheduled refresh
  • Training and handover so your team can explore on their own
03How it works
  1. 1

    Ask the questions

    What each team checks first thing every morning.

  2. 2

    Map the data

    Every system that holds a number, and who owns it.

  3. 3

    Model

    One data model with clean measures.

  4. 4

    Build

    One dashboard per question, reviewed with the people who use it.

  5. 5

    Hand over

    Refresh scheduled, access set, team trained.

Start from questions, not charts

Most dashboard projects start from the data and end with a wall of charts nobody opens. We start by asking each team what they check first thing in the morning, then build one screen per answer.

For Retail Insights that meant four dashboards for four questions. Are we selling? Is it arriving on time? What comes back, and why? Who actually makes us money? The last one showed something nobody had seen before: some of the biggest customers made a loss once returns, delivery and discounts were counted.

  • Sales. Revenue, orders and basket size by day, store, region and channel.
  • Operations. On-time rate, late orders and which warehouse or carrier causes them.
  • Quality. Return rate and reasons by product.
  • Profit. Profit per customer after returns, delivery and discounts.

Prices and what they cover

ScopePriceTimelineIncludes
Single dashboardFrom $1,9001–3 weeksData model, DAX measures, refresh
Departmental suiteFrom $4,900Fixed priceSeveral dashboards on one shared data model, row-level security
Pipeline and warehouseQuoted per scopeAfter a callNightly collection, quality checks and a central warehouse

Every price is fixed, with no hourly meter. When your data is already in one place, a single dashboard sits at the bottom of the range. When it is spread across tills, a web shop and a warehouse, the work underneath the dashboard is quoted separately, so you can see exactly what you are paying for.

The layer underneath matters most

Dashboards are only as good as the data behind them. For Retail Insights we built a nightly pipeline on Apache Airflow, a PostgreSQL warehouse with a star schema around orders, and data marts for sales, products, customers and stores. Data is collected and checked overnight and the dashboards are fresh by 06:00, before the first store opens.

Bad rows are held back and flagged instead of quietly reaching a report, and the team gets an alert when a source is late. Because all the data already sits in one organised place, the next question, such as margins by supplier, is a new view rather than a new project.

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Common questions

How much does a Power BI dashboard cost?

Single dashboards start at $1,900 and ship in 1 to 3 weeks. Departmental suites with a shared data model start at $4,900. Every price is fixed.

Do you charge by the hour?

No. Fixed price, no hourly meter.

What is included?

Data modeling, DAX measures, row-level security and scheduled refresh, plus a handover so your team can filter and explore on their own.

Can you fix our existing Power BI reports?

Yes. Slow or untrusted reports usually come from the data model underneath, which is where we start.

What if our data is spread across several systems?

We build the pipeline and warehouse first, as we did for Retail Insights, and quote that work separately.

How fresh will the numbers be?

That depends on your sources. In Retail Insights the pipeline runs overnight and dashboards are refreshed by 06:00 every day.