General Reports Β· Sales & Revenue

Sales & Revenue Reporting: One Clear View of What's Selling and Where

14 June 20265 min readPerth, Western Australia

Short answer

Sales & revenue reporting brings all of your sales into one view - by product, customer, region, channel and rep - and tracks it against target and last year. It shows what's growing, what's slowing, and where the team should focus. SolveBI builds sales dashboards on Power BI and Microsoft Fabric that pull from your CRM, ERP or accounting system so the picture is current and shared.

A sales director presenting revenue results to colleagues on a screen in a modern office meeting room.

Everyone watches revenue - few can see it clearly

Revenue is the heartbeat of the business, but in most companies it's spread across a CRM, an accounting system and a pile of spreadsheets, sliced differently by whoever is asking. The result is that simple questions - which products are growing, which region is behind, how the team is tracking to target - take a surprising amount of digging to answer, and different people answer them differently.

A sales and revenue dashboard pulls it all together. One current view, the same for everyone, that anyone can slice by product, region, channel or rep without rebuilding a spreadsheet.

One view
Revenue by product, customer, region, channel and rep
vs target
Performance against target and last year, at a glance
Trend
What's growing and what's slowing, over time

What belongs on a sales & revenue dashboard

  • Revenue - by product, customer, region, channel and rep
  • Target vs actual - how the business and each rep are tracking
  • Growth - versus last year and last period
  • Top movers - fastest-growing and fastest-declining lines and customers
  • Pipeline or order book - what's coming, where the data supports it
  • Trend - monthly and rolling-12-month direction

How SolveBI builds it on Power BI and Microsoft Fabric

We connect to wherever your sales data lives - CRM, ERP or accounting system - and bring it together in Microsoft Fabric, then deliver a Power BI dashboard the whole team shares. Reps see their own numbers and targets, managers see the regions, leadership sees the whole picture - all from one source that refreshes on its own.

A Power BI sales and revenue dashboard showing revenue by product, region and channel against target.
Revenue by product, region, channel and rep against target - one current view the whole team shares.

Scattered spreadsheets vs a sales dashboard

Spreadsheet reporting vs Power BI sales dashboard

AspectSpreadsheetsSolveBI Power BI dashboard
Where it livesAcross CRM, accounts and filesOne place, combined
How currentAs of the last exportRefreshes automatically
SlicingRebuild the sheet each timeClick to slice any way
ConsistencyEveryone's number differsOne source everyone trusts

Common mistakes in sales reporting

  1. Only the total. It hides the products, regions and reps that actually need attention.
  2. No target on the page. Revenue without a target is just a number, not a result.
  3. Data in silos. When sales lives in three systems, no one trusts the combined figure.
  4. Stale by the time it's shared. A weekly export is always a week behind the team.

One clear view of what's selling and where.

Book a free 30-minute consultation with a SolveBI consultant. We'll show you how a Power BI and Microsoft Fabric sales dashboard pulls your revenue into one place.

Frequently Asked

Common Questions

Can it combine CRM and accounting data?
Yes. We bring sales data together from your CRM, ERP and accounting systems in Microsoft Fabric so the dashboard shows one consistent revenue picture.
Can reps see only their own numbers?
Yes. Security is set so each rep sees their own customers and targets, managers see their regions, and leadership sees everything.
Can it track against targets?
Yes. We load your targets and show actual against target by rep, region and product, so performance is always in context.
How long does it take?
Usually a few weeks for a first sales and revenue dashboard, depending on where your data lives.