Operations ERP Suite
The full ERP spine: orders, CRM, production, stock, purchasing, projects, finance, approvals, reporting, people and automation.
5.0 out of 58 sold
Executive overviewAdmin1 / 8
Business OperationsAnalyticsLive
Operations Analytics
4.0 out of 52 sold
Most reporting arguments are not about the chart. They are about whose definition of the number is right, or about a record with a field missing. This build puts both on screen: every figure resolves to an agreed definition, and the data quality problems have their own page.
From$679
- Function
- 23
- Roles
- 3
- Users
- Unlimited
- Next.js
- TypeScript
- PostgreSQL
- Recharts
Inside the app
What it does out of the box
23 connected functions on one schema, spanning three data scopes. Everything below is in the template before a line of customisation.
Executive overview
Pipeline value, win rate, SLA attainment and activity per rep, with revenue against target and the deal source mix. Every figure resolves to a definition.
Pipeline
Stage funnel with deal count, value and time in stage, quota attainment by rep, and deals by owner split into won, open and lost.
Stalled deals
Aged against the normal pace of that stage rather than a flat number of days, so a deal is stalled relative to how the stage actually behaves.
Service and SLA
First response, resolution time, attainment by priority and backlog by age, with the tickets about to breach named.
Attainment measured honestly
Against the target that applied when the ticket was raised. Changing a target does not retroactively improve last quarter.
Data quality
Completeness by required field, stale open deals, and orphaned owner records left behind by deactivated users, each named rather than silently dropped.
Metric catalogue
Each definition, its owner, whether it is agreed or in review, and when it changed. A deprecated metric keeps its definition and its history.
Alerts
Thresholds with a condition, a notification list and a state. A muted alert stays visible and says who muted it and when.
Scheduled delivery
Reports that go out on their own, recorded with the figures they contained, so you can see exactly what somebody was sent last Monday.
Data sources
Type, schedule, last run and rows loaded. A failed source shows on every screen that depends on it rather than reporting yesterday as today.
Governance
Row-level scope applied on the query, two approvals to change a definition, a freshness stamp on every screen, and exports that carry their filters.
Three scopes
An admin sees every team. A manager sees theirs. A rep sees their own deals and tickets. Scope is a WHERE clause, not a hidden menu.
Permissions
Three scopes, one build
A rep sees their own deals and tickets, a manager sees their team, an admin sees the tenant. Scope is applied on the query rather than by hiding navigation, so a narrower role cannot reach wider data by editing a URL.
- Pipeline and service scoped to their own records
- The metric catalogue, so they can check a definition
- Alerts that name them, with the condition shown
- Every figure carries a freshness stamp
- No visibility of another rep’s deals
- Everything a rep can see, across their team
- The executive overview for their scope
- Data quality, so a bad number can be traced to a record
- Scheduled delivery to their own recipients
- Quota attainment and stalled deals by owner
- Everything a manager can see, across every team
- Data source health, schedules and failed runs
- Access scope per role, applied on the query
- Definition changes requiring two approvals
- An append-only log of what changed and why
The build
Every function in the box
10 screens, all of them live in the preview. Nothing on this list is a mockup or a roadmap item.
Access
- Sign in
Analytics
- Executive overview
- Pipeline
- Service and SLA
- Data quality
Definitions
- Metric catalogue
- Alerts
- Scheduled delivery
Administration
- Data sources
- Governance and audit
What you get
Delivered as a repository, not a login.
Operations and finance teams who currently rebuild the same figures in spreadsheets every Monday.
- 10 production functions spanning three data scopes
- Full source code and PostgreSQL schema in your repository
- Role-based access control, enforced server-side
- Immutable audit log written on every change
- Responsive layouts, usable on a phone, not just resized
- CSV import and export on every core record
- Deployment configuration for your cloud account
- Twelve months of updates, and no per-seat charge ever
Access and evidence
One definition, or none at all
The expensive reporting failure is not a broken chart, it is two teams confidently quoting different numbers for the same thing. Definitions are versioned objects here, so a change is visible rather than silent.
- An approved definition cannot be edited, only superseded by a new version
- Every report records which definition version it was built on
- Changing a definition flags every report that used the old one
- Retired metrics stay readable so historic packs still make sense
- Per-metric visibility, enforced server-side, not by hiding a dashboard
- Reports on a stale source are labelled stale rather than quietly wrong
- Immutable audit log with seven-year retention and export
Related
Apps that pair with this one
From$899View details
Inventory Control
Catalogue, stock, warehouses, purchase orders, suppliers, sales, cycle counts and valuation, on one append-only movement ledger.
5.0 out of 510 sold
Order Management
A full order management system: orders, customers, catalogue, stock, warehouses, shipping, returns, automation rules and integrations.
5.0 out of 510 sold
Questions
Operations Analytics, in practical terms
Not covered here?
Ask a consultant directly. No form to fill in first, and no follow-up sequence.
Book a consultantAll questionsDo I get the source code for Operations Analytics?
Yes. The repository, application code, database schema, migrations, seed data and deployment configuration, is transferred to your organisation on delivery. There is no licence key and nothing that calls home.
How many people can use it?
As many as you like. Per-seat pricing is the reason most companies ration BI access to the people who least need it. Pricing here is per application, so everyone who should see a number can have a login.
Is this a replacement for a full BI platform?
No, and it would be dishonest to claim otherwise. It covers governed operational reporting, agreed definitions, scheduled packs, threshold alerts and source health. If you need ad-hoc exploration across a warehouse by non-technical users, keep your BI tool and use this for the numbers that must be consistent.
Where does the data come from?
Scheduled loads from the systems you already run. A fitted build wires up your order, inventory, finance and HR sources, and the source health screen shows whether each one actually arrived, which is usually the thing that breaks first.
Can Operations Analytics be changed to match our metrics?
That is the usual route. A fitted build sets up your metric definitions, source connections, report packs, alert thresholds, branding and up to two integrations, and typically takes one to three weeks from a signed scope.
What does it cost to run?
Hosting only, paid to your own cloud provider, roughly $50 to $200 a month, rising with the volume of history you retain. There is no recurring fee to us unless you choose managed hosting.
Start here
Want Operations Analytics shaped around your process?
A fitted build adjusts fields, stages, roles and integrations to how your team already works. One scoping call, a fixed price, one to three weeks.
- No sign-up to open one
- One-time price, no seats
- Source code transferred on delivery
