Service
Data, Analytics & Decision Intelligence
The numbers that run the business, live and in one place — dashboards that assemble themselves, alerts that fire before problems compound.
Decision intelligence is the layer between your raw systems and your decisions: data pulled automatically from every system of record, reconciled into numbers everyone trusts, and delivered as live dashboards, scheduled reports, and alerts that fire while there's still time to act. OutcomesBuilt builds this layer custom, scoped to the decisions you actually make.
Most companies don't have a data shortage; they have a Friday-afternoon problem — someone exporting from four systems into a spreadsheet to build the same deck every week. The numbers arrive late, disagree with each other, and describe last month. The fix is not another BI license; it's plumbing built for your specific systems and questions.
What we build
Inside a typical engagement
We build the pipeline and the presentation — the unglamorous data plumbing and the screens people check every morning. Typical builds include:
Live operational dashboards
Orders, cash, pipeline, utilization, exceptions — the state of the business on one screen, pulled from the systems of record, current as of now.
Reports that assemble themselves
The weekly leadership deck, the monthly board pack, the customer QBR — generated on schedule from live data and delivered where people already look.
Alerts and monitoring
Thresholds and anomalies watched continuously — stockouts forming, margins slipping, SLAs at risk — surfaced before they compound into month-end surprises.
One version of the truth
Definitions reconciled and encoded once — what counts as revenue, an active customer, an on-time delivery — so meetings argue about decisions, not numbers.
Compliance and control monitoring
Controls checked continuously against live data, exceptions flagged as they happen, and evidence collected automatically for audit.
Plain-language answers
Where it fits, an assistant on top of the data layer that answers “how did the northeast do last quarter?” with the real number and its source.
How we scope it
Priced by the outcome, not the hours
We scope analytics builds against decisions, not dashboards: which calls do you make weekly on stale or missing numbers, and what would you do differently if the answer were live? That list — not a data inventory — defines version one.
The build starts at your systems' actual state, not an idealized one. Messy exports, inconsistent fields, and the numbers that never quite match are the normal starting condition; reconciling them is part of the fixed scope, not a change order.
This is for you if
- Someone assembles the same report by hand every week
- Leadership meetings start with a debate about whose number is right
- Problems surface at month-end that were visible in the data weeks earlier
- You have BI licenses, and people still ask for the spreadsheet
Illustrative engagements
Examples of the shape this work takes — illustrative scenarios, not client claims.
A revenue and operations dashboard for a multi-location services company, replacing a weekly spreadsheet ritual with live numbers by location, updated continuously.
An inventory intelligence build for a distributor: stock, inbound POs, and demand in one view, with alerts days ahead of projected stockouts.
A compliance monitoring layer for a financial services firm that checks controls continuously and files the evidence, turning audit prep from weeks into an export.
Where this shows up
Use cases built on this service
Each one is a full landing page: the problem, what the build includes, the outcomes, and who it fits.
Browse the full use-case library for all sixteen.
Common questions
Data, Analytics & Decision Intelligence, answered
We already have a BI tool. Why would we need a custom build?
BI tools visualize data that's already clean, connected, and defined — which is exactly the part most companies are missing. We build the layer underneath: the pipelines that pull from your real systems, the reconciliation that makes numbers agree, and the definitions that make them mean one thing. Sometimes the result feeds your existing BI tool; sometimes a purpose-built dashboard serves the decision better. We recommend whichever fits.
How current is “live”?
As current as the decision requires. Operational alerts typically run on minutes; management dashboards on hours; board reporting on daily cycles. Freshness is an engineering dial with a cost curve, and we set it per number in the Blueprint rather than paying for real-time everywhere out of habit.
Is our business data safe in a build like this?
Yes — the data layer we build runs in your environment or a private one provisioned for you, with least-privilege access to source systems, encryption in transit and at rest, and NDAs as standard. Nothing about this work requires your data to train anything or leave your control.
Have an outcome this service could hit?
Describe it in a free Outcome Discovery call — about 45 minutes, and you leave knowing whether software moves your number. OutcomesBuilt replies within one business day.