See your business in real time.
Live dashboards that pull from every system you use. No more stale spreadsheets or waiting for month-end reports. Just clear numbers when you need them.
From spreadsheets to live dashboards
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Total Revenue
$24.1M
+12.4%
Gross Margin
38.2%
+2.1pp
Overdue Invoices
$1.2M
-18.3%
Cash Runway
8.4 mo
-0.6mo
Revenue by Region (Q1–Q4)
Updated 2 minutes ago · Auto-synced from SAP + Xero
| Region | Q1 Rev | Q2 Rev | Q3 Rev | Q4 Rev |
| North | $1,240,000 | $1,180,000 | $1,320,000 | $1,410,000 |
| South | $890,000 | $920,000 | $870,000 | $950,000 |
| East | $1,100,000 | $1,050,000 | $1,200,000 | $1,150,000 |
| West | $760,000 | $810,000 | $780,000 | $830,000 |
| Central | $640,000 | $680,000 | $650,000 | $710,000 |
Last updated: 3 weeks ago · Updated manually by Finance
We connect to the tools you already use
Real results. Real businesses.
Every project here was scoped, built, and delivered by our team.
SAP Stock Projection Dashboard
Context: A national distributor relied on SAP for inventory but had no forward-looking visibility into stock levels across 12 warehouses.
Problem: Procurement decisions were completely reactive. Overstocking tied up capital, while stockouts caused lost sales and strained supplier relationships.
Solution: We built a Power BI dashboard connected to SAP that combines current inventory, sales velocity, lead times, and seasonality into rolling 90-day stock projections per SKU per warehouse.
Stockouts dropped 35%. Excess inventory carrying costs reduced by $2.1M in the first year.
Monday.com Operational Analytics
Context: A project-based firm used Monday.com for task management but had no aggregated view of team utilisation, project health, or delivery timelines.
Problem: Directors made resourcing decisions based on gut feel. Projects frequently overran, and underperforming workstreams weren't identified until it was too late.
Solution: We extracted Monday.com data via API into a live dashboard showing project burn rates, team allocation, milestone tracking, and automated risk flags.
Project overruns decreased by 28%. Resource allocation shifted from monthly reviews to real-time adjustments.
Qlik Profitability Analysis
Context: A retail chain tracked revenue by store but couldn't see profitability at the product-category or store-cluster level.
Problem: Pricing and promotion decisions were made uniformly across stores, despite vastly different cost structures and customer profiles.
Solution: We built a Qlik Sense app pulling from their POS, procurement, and lease systems to show gross margin by product category, store, and time period, with drill-down to individual SKU contribution.
Identified three underperforming categories that were diluting margin. Targeted repricing improved blended margin by 4.2 percentage points.
Power BI Cost Analysis Platform
Context: A construction group managed multi-year projects with costs tracked across spreadsheets, Sage, and project management tools.
Problem: No single view of actual vs. budgeted cost existed. Overruns were discovered at quarter-end reporting, weeks after corrective action could have been taken.
Solution: We consolidated all cost data into a Power BI platform with real-time variance tracking, project-level drill-down, and automated alerts when any cost line exceeds threshold.
Budget overruns flagged an average of 6 weeks earlier. Finance team reduced monthly close time by 3 days.
Got questions?
Talk to our AI for instant answers, or book a call with the team to scope your project. No pitch decks, no filler meetings.