What does the Power BI Sales and Marketing sample actually contain?
The Sales and Marketing sample follows a fictional manufacturer called VanArsdel selling bicycles and accessories. It includes sales data, market share data, sentiment data, and category-level competitor data across multiple report pages covering regions, segments, and time.
Download the .pbix file directly to inspect the data model, measures, and visual configuration. The Power BI service app shows the output but hides how everything is built. For any team that wants to learn from this sample, the .pbix file is the only version worth opening.
Microsoft built this sample to teach concepts, not to replicate real operational complexity. The model is small, the DAX is straightforward, and the relationships are clean. That is deliberate. It is also where most of its limits begin.
Which reporting habits from this sample are worth copying?
The single strongest lesson in this sample is page structure. Each report page carries one clear story: a headline metric at the top, supporting visuals below, and a dimension breakdown underneath. Most enterprise Power BI reports do the opposite, cramming every metric onto one page and making it impossible to read.
Page narrative discipline: Every page answers one question, which forces analysts to decide what matters before building the visual. This is the structural habit Kernel Flow applies to every client dashboard across wholesale, manufacturing, and professional services.
KPIs paired with targets: A revenue number without a target tells leadership nothing. The sample consistently pairs each headline metric with a comparison value, whether that is a budget, a prior period, or a market benchmark.
Small multiples for category comparison: Several pages use repeated visual patterns to show how a single metric shifts across product categories or regions, rather than stacking everything into one cluttered chart with a busy legend.
Tooltips for instant context: Custom tooltips surface additional detail on hover without forcing the user to navigate to a separate detail page. This keeps the primary visual clean while preserving access to supporting data.
What reporting patterns from this sample should mid-market teams avoid?
The sample's colour palette is oversaturated. It works for a tutorial but looks out of place in a production environment. Every enterprise report should use a custom Power BI theme JSON file that maps directly to the company's brand palette. This takes under an hour to configure and changes how leadership perceives the reports before a single number is reviewed.
Bubble and choropleth maps: Overlapping bubble maps do not communicate values clearly, and choropleth maps without proper colour breaks mislead more than they inform. When leadership wants to know which region is performing best, a sorted bar chart in Power BI answers the question faster and more accurately than any map visual.
The cluttered summary page: One page in the sample places every visual type on a single canvas to showcase Power BI's features. This is a feature catalogue, not a dashboard design pattern. Copying it into a production report guarantees that leadership cannot extract a clear decision from the page.
The simplified star schema: The sample runs on three to four clean tables with no complex relationships. Real wholesale, manufacturing, or insurance data environments include multiple fact tables at different grains, slowly changing dimensions, and many-to-many relationships that this sample does not prepare analysts to handle.
How should operations and sales teams use this sample without building bad habits?
Use the sample to study structure, not style. The page narrative approach, the KPI-plus-target pairing, and the tooltip discipline are all worth replicating directly. The colour palette, map visuals, and data model are not.
The most common mistake Kernel Flow sees in mid-market reporting is copying the visual output of the sample without understanding the structural decisions behind it. Teams that invest time in the .pbix model layer, studying how measures are written and how tables relate, get more from this exercise than teams that only look at the finished report pages.
For CEOs, COOs, and Operations Directors evaluating whether their current Power BI reports are fit for purpose, the Sales and Marketing sample is a useful baseline comparison. If your production dashboards are harder to read than this tutorial dataset, the reporting infrastructure needs attention before the data can drive decisions.
Apply a custom theme immediately: Set up a Power BI theme JSON file that uses your brand palette before building any new report. Kernel Flow does this on every client engagement because it eliminates the 'sample report' appearance and makes dashboards look credible to leadership from day one.
Replace maps with sorted bar charts: For regional sales comparisons in Power BI, a sorted horizontal bar chart filtered by region answers the question faster and with less visual ambiguity than any bubble or choropleth map.
Build toward a real data model: Teams working with SAP, Microsoft 365, or Salesforce data will encounter fact tables at different grains and complex dimension relationships that require deliberate modelling decisions the sample does not teach.