Data & AI platform
One console for every
back-office decision
An operational control plane that puts business metrics, record search, bulk corrections and configuration in one place, with permissions down to the field and an audit entry for every change. Built for the people who have to fix the order, refund the customer and explain it afterwards.
- Cloud
- Private cloud
- On-premise
- Hybrid
Overview
The internal console your operations team lives in: metrics, records, bulk actions and an audit trail behind all of it.
Operations teams usually work across four tabs: a BI tool for the numbers, a database client for the records, a ticket queue for the requests and a spreadsheet for the corrections. Admin Dashboard collapses that. Charts drill through to the rows behind them, those rows support bulk actions with a dry-run preview and a 15-minute undo window, and every action writes an audit entry with actor, before and after values, and the reason string the operator typed. Support impersonation is available, gated by consent and time-boxed, and appears in the affected user's own activity log.
Metrics are defined once in a shared semantic layer rather than in each chart, so the definition of an active customer cannot quietly differ between two screens, and each panel shows when its data was last refreshed. This is not a replacement for Power BI or Looker. If what you need is executive reporting and self-service exploration across the whole business, buy the BI tool; this product exists for the day-to-day operational control that BI tools deliberately do not do.
- Operational questions answered in minutes rather than a 2-day analyst queue
- Report turnaround
- Median 8 minutes from anomaly to alert, against 90 minutes of customer reports
- Incident detection
- About 11 engineering hours a week returned at Corvus Logistics
- Manual data fixes
- Evidence pack assembled in under 1 day from the change history
- Audit preparation
Modules
What ships in the box
- Roles, permissions and access review
- Operational metrics and cohorts
- Record explorer and bulk actions
- Audit log and change history
- Alerting and thresholds
- Configuration and feature flags
Integrates with
- Snowflake
- Google BigQuery
- PostgreSQL
- Amazon Redshift
- Okta
- Slack
- PagerDuty
- ServiceNow
Capabilities
What it does
Field-level permission matrix
Roles grant read, write or masked access per field, with reason-gated reveals on sensitive values. Access reviews export the matrix so an approver can sign off what a role can see.
Drill-through from chart to record
Every chart point resolves to the underlying rows with its filters carried over, so an analyst investigating a spike lands on the exact 63 orders instead of rebuilding the query.
Bulk actions with dry run
Corrections preview the affected rows and the resulting values before execution, run as a tracked job with progress, and stay reversible for 15 minutes through a single undo.
Shared metric definitions
Measures such as active customer or net revenue are defined once with their SQL and owner, then reused by every panel, which stops two dashboards quoting different numbers.
Consented impersonation
Support staff can view a user's session to reproduce an issue, limited by a time box and a permitted scope, recorded in the audit log and visible in the user's own activity history.
Threshold and anomaly alerts
Alerts fire on absolute thresholds or on deviation from a rolling baseline, route to Slack or PagerDuty with the drill-through link attached, and suppress duplicates within a window.
Freshness and lineage indicators
Each panel states its source, last successful refresh and the upstream jobs it depends on, so a stalled pipeline shows as a stale badge rather than a metric that appears to collapse.
Versioned configuration
Settings, feature flags and rule tables are versioned with diffs, staged rollouts by segment and single-click rollback, and each change records who approved it and who applied it.
Built for
Where this is deployed
Industry
Banking & Financial Services
Payment rails, risk engines and core-adjacent systems built by people who have run them at 03:00 on a settlement night.
Industry
Retail & E-commerce
Storefronts, stock ledgers and fulfilment logic that hold together on your busiest trading day.
Industry
Logistics & Supply Chain
Visibility, customs filing and cost-to-serve systems for operators who move real freight.
Industry
Telecom & Media
OSS, BSS and delivery platforms that keep working after launch night.
Industry
Healthcare & Life Sciences
Clinical and regulated software built to pass an audit, not just a demo.
FAQ
Questions we get asked
- Does it copy our production data into another warehouse?
It can query in place. Record views run against your operational database through read replicas with statement timeouts, and metric panels can point at Snowflake or BigQuery where the aggregates already live. A separate copy is an option, not a requirement.
- How do you stop a bulk action from causing an incident?
Three controls: a dry run showing affected rows and resulting values, a per-role cap on how many records one action may touch, and a 15-minute undo that restores prior values. Actions above the cap require a second approver before they run.
- Can we extend it with our own screens?
Yes. Screens are declared as configuration against a data source and an action set, so a new entity view is typically a day's work rather than a front-end project. Bespoke React components can be registered where a table and a form are not enough.