Custom Analytics Solutions

Finalert builds that layer. We join the sources, hold the data somewhere it can be queried, write the metric logic to your definitions, and test it against a number you already know is right. Then we document it and hand it over, because analytics you cannot maintain without the people who built it is a liability.

A custom build replaces that spreadsheet with something that runs on its own. Pipelines pull from each source on a schedule, records are matched on keys that are agreed rather than assumed, the metric logic is written down and tested, and the output feeds whatever your team already reads. It is more work upfront than a subscription. It is also the only way to get a number that exists nowhere else.

Finalert builds custom analytics for U.S. companies whose important numbers do not come out of any single system. The usual starting point is a question the business asks constantly and answers slowly: which contracts actually made money after labour, what a customer is worth across three product lines, how margin moves by branch when the overhead is allocated properly. The data exists, but it is scattered across the ledger, the CRM, an operations platform, payroll and sometimes a spreadsheet somebody keeps privately.

We scope these engagements small and deliberately. One question, answered end to end and tested, is worth more than a platform that promises to answer everything. Once the first metric is running and reconciling, the pipelines and the warehouse underneath it make the second and third much cheaper. Teams that try to build the whole thing at once usually spend two quarters on infrastructure and never get a number anyone uses.

Joining data that was never meant to be joined

The difficulty is rarely the calculation. It is that a customer in your CRM, a customer in the ledger and a customer in the billing platform are three different records with three different identifiers, and nobody has ever agreed which one is authoritative. We work through that with your team: choosing the key, deciding how unmatched records are handled, and building a mapping that is maintained rather than recreated each time.

Where the volume or the number of sources justifies it we build a small warehouse with pipelines feeding it on a schedule. Where it does not, we keep the architecture simpler on purpose, because a warehouse nobody needs is expense and maintenance with no return. Either way the transformation logic is written in one place and versioned, never spread across a report, a spreadsheet macro and someone's memory.

Metric logic, testing and handover

Custom metric logic is the part that has to reflect your business rather than a textbook. If you recognize revenue at delivery and allocate shared overhead by headcount, the build does that, and the rule is documented with the person who approved it. Where two departments count something differently we surface the conflict early and ask your finance leadership to settle it, because a metric with two definitions will be disputed the first time it appears in a meeting.

Everything is tested against a known answer. We take a period your team has already analysed by hand and require the build to reproduce it before it is trusted. Handover is a deliverable, not a courtesy: documentation of the sources, the joins, the metric definitions and the schedule, plus working sessions with your analyst. We build and run the reporting. Your finance leadership owns the definitions, the decisions and the published numbers. We do not sign tax filings, issue audit or attest opinions, give legal advice, or act as your accountant of record.