Insights. Automation. Growth.
A smarter tomorrow.
Most organisations are not short of data. They are short of one version of it that everyone trusts. Systems were bought at different times by different teams, each holding a piece of the truth, and the work of reconciling them falls on whoever is closest to the deadline.
We build the layer that ends that. Simple to use, scalable as you grow, and governed well enough for finance to sign off on.
Five things we do well enough to quote a fixed price on and hit the date.
Multi-entity consolidation, P&L, balance sheet, AR and AP ageing, cash position. Built to tie back to the ERP so finance signs off.
A modelled warehouse with documented lineage, incremental refresh and monitoring that tells you when a load fails.
Natural-language questions over your governed model, plus forecasting and anomaly detection that pay for themselves.
Moving to Business Central or D365? We carry reporting across so the business is never blind through cutover.
A named engineer who already knows your model, on a monthly block of hours. No new statement of work every time.
Most clients are not on the first call. Describe the problem and we will tell you which one it is.
Book a callThe systems change, the problem rarely does. These are the domains where we have delivered enough to know what breaks before it breaks.
The hard part is never the chart. It is the four entities with different chart-of-accounts structures, the ERP that exports totals nobody can reconcile, and the close that runs on one person's spreadsheet.
We start at the source systems, fix what is broken underneath, and build the reporting layer on ground that will still be there next quarter.
Explore solutionsNo junior bench learning on your project. Whoever scopes it, builds it.
A written scope and a number before we start. No surprise invoices.
Code, models, documentation and credentials are transferred to you.
Every engagement ends with docs and a walkthrough for your team.
Data programmes rarely fail because the technology was wrong. They fail because nobody agreed what the numbers meant. That is where we start.Founders, Beyond Data 360
Four D365 Finance entities, each with its own chart of accounts, consolidated by hand every month. We built a single Power BI model with drill-through to source transactions.
AR, AP and credit limits reached sales as a weekly NetSuite extract. Now exposure is visible at the point of quoting, with alerts on threshold breaches.
Years of ad-hoc development left overlapping reports and no clear owner. We rebuilt on Fabric with one governed model and row-level security by service line.
Thirty minutes, no deck. Bring the report that keeps breaking and we will tell you what we would do about it.
Book a call