Custom analytics dashboards that finally match your real numbers
Reporting built from your store, ERP and marketing data, so one dashboard answers the questions your business asks, without exporting spreadsheets by hand.
- Store, ERP and marketing data in one view
- BI tool or fully custom
- Hourly, from $90/hr
Test drive our developers. 3 guaranteed hours of free development work.
Hand us a real task and our senior engineers do the first 3 hours on us. No obligation to hire us, just a straight look at how we work.
- Scope your idea
- Build a small piece
- Review your code
- Fix a bug
Your reports disagree because each system measures something different
Revenue in your store, in your accounting system and in your ad platform will rarely match. Nothing is broken. Each one is counting by its own rules.
A useful dashboard does not hide the differences. It defines each number once, in your terms, and shows where it came from.
- 1
Different moments in time
The store counts an order at checkout. Your ERP counts when it ships or is invoiced. Both are right, and both will differ on any given day.
- 2
Different treatment of money
Refunds, returns, discounts, tax, shipping and currency are handled differently in every tool, so totals drift apart.
- 3
Different credit for sales
Each ad platform claims conversions using its own attribution window. Add them up and you sell more than you did.
- 4
Manual exports hide the gaps
Spreadsheets pulled by hand are out of date the moment they are saved, and every analyst cleans them differently.
From scattered systems to one trusted view
Store
Orders, customers, products
ERP and finance
Invoices, inventory, costs
Marketing
Ads, email, analytics
Clean and join
One set of definitions
Dashboard
Always current
Connections pull data on a schedule, a cleaning step reconciles IDs, currencies and timestamps, and the dashboard reads from the cleaned result.
Reports built around real decisions
Revenue and margin by channel
Which channels and products make money after costs, shipping and returns, not only before.
Inventory and fulfillment
Stock, sell-through, backorders and shipping delays across the store and your warehouse systems.
Marketing against real orders
Ad spend and campaign results compared with orders that actually shipped and were paid.
B2B account reporting
Reorder patterns, account value and sales rep performance for wholesale and trade customers.
Customer behavior
Repeat purchase, cohorts and customer value, calculated on your own definitions.
Scheduled summaries
Reports sent to the people who need them, so no one has to remember to pull a number.
Start with the question, not the chart
- 1
Define the questions
We start with the decisions the dashboard must support and write each metric down in plain terms.
- 2
Connect the sources
Store, ERP and marketing platforms connected directly through their APIs or exports, with no manual pulls.
- 3
Clean and model
Messy, inconsistent data reconciled into one model, with checks against totals you already trust.
- 4
Build and iterate
A dashboard built around the questions, then refined as the business and the data change.
Tired of arguing about whose number is right?
Tell us which systems hold your data and which report you wish existed. We will tell you how we would build it.
Talk to usFrequently asked questions
Do you use an existing BI tool or build fully custom?
Either. Sometimes a custom dashboard is right. Often it is configuring a tool such as Looker Studio or Metabase properly around well-modeled data. We recommend whichever costs you less over time.
Can you combine store, ERP and marketing data in one dashboard?
Yes. Joining those sources into one view is the most common reason people hire us for this. The hard part is agreeing on definitions, and we help with that.
Does our data have to be clean first?
No. Untangling inconsistent IDs, duplicate records and mismatched fields is part of the work, and we check results against totals your finance team already trusts.
Why will the dashboard numbers still differ from my ad platform?
Because platforms count conversions with their own attribution rules. A good dashboard shows both, labeled clearly, so you can see why they differ.
Is this a one-time build or ongoing?
Both are common. Some businesses want a one-time build, others want ongoing support as new questions and data sources come up.
Who can see which data?
We design access by role, so finance, sales, operations and marketing each see what they need. Sensitive data stays restricted.
Get a quote for Custom Analytics & Dashboards
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