Compliance Analytics
Dashboards and metrics across the whole compliance programme
Dashboards and metrics that span the whole programme — screening, cases, due diligence, SLAs, risk and controls — drawn from the platform's own live data, so the compliance function sees programme health, workload and trends as they actually are rather than as a month-old spreadsheet describes them. A compliance programme generates enormous operational data, and most of it goes unused because pulling it together is manual and stale by the time it arrives. OnyxOne Compliance Analytics turns the platform's live record into a continuous, drill-downable view of how the programme is performing, where the pressure is building, and what the numbers are trying to say.
How it works, visually
Illustrative analytics primitives — the shape of the charts and returns this module produces.
The problems this module solves
The operational realities that make this hard for compliance and risk teams today.
Programme metrics are compiled by hand, and stale on arrival
Someone exports figures from each system at month-end and pastes them into a deck. By the time the numbers are assembled they describe the past, and the effort is so heavy it happens too infrequently to catch a problem while it is still small.
No single view across the programme
Screening sits in one place, cases in another, due diligence in a third. Each has its own local view, but no one can see the programme as a whole — so a bottleneck in one area and its knock-on effect in another are never connected.
Numbers with no way to drill in
A dashboard shows a rising alert count but offers no way to ask why. The metric raises a question it cannot answer, so the analyst goes back to the raw systems to investigate, and the dashboard adds effort rather than saving it.
Emerging problems surface too late
A queue quietly ageing, a false-positive rate creeping up, an SLA slipping — these show up in month-end reporting long after they started. Without continuous visibility, the function is always reacting to yesterday's problem.
Everyone measures differently
Different teams define the same metric in different ways, so figures do not reconcile and no one trusts the numbers. Time that should go into acting on the data goes into arguing about it.
How OnyxOne addresses it
Live metrics from the platform's own record
Analytics are drawn continuously from the platform's live data, so the numbers describe the programme as it is now, not as it was at the last manual compile. Problems can be seen while they are still small enough to fix cheaply.
One view across the whole programme
Screening, cases, due diligence, SLAs, risk and controls appear in one connected analytics layer, so the function sees the programme as a whole and can trace how pressure in one area flows into another.
Drill down from metric to record
Every figure is a question you can pursue — drill from a rising trend into the underlying cases or alerts to understand what is driving it. The dashboard answers the question it raises instead of sending the analyst back to the raw systems.
Trends and early-warning signals
Ageing queues, creeping false-positive rates and slipping SLAs are surfaced as trends and threshold alerts as they develop, so the function acts on an emerging problem rather than discovering it in month-end reporting.
Consistent, shared definitions
Metrics are defined once against the platform's data and used everywhere, so figures reconcile across teams and the conversation moves from arguing about the numbers to acting on them.
What's in the module
Turn on what you need and add more as your programme scales.
Programme-wide dashboards
See screening, cases, due diligence, SLAs, risk and controls in one connected analytics layer.
Live data
Draw metrics continuously from the platform's own record, so views reflect the current state.
Drill-down
Move from any metric into the underlying cases, alerts or records that drive it.
Trend analysis
Track how key indicators move over time to distinguish noise from a developing problem.
Threshold alerts
Raise an alert when a metric crosses a defined threshold, so emerging issues surface early.
Consistent metric definitions
Define each metric once against the platform data so figures reconcile across teams.
Segmented views
Slice metrics by team, product, geography, risk tier and time period.
Configurable dashboards
Compose dashboards for different roles — analyst, manager, MLRO — from a shared metric library.
Export & scheduling
Export analytics and schedule recurring views for governance and reporting.
Data lineage
Trace each metric back to the platform records it is computed from.
The views your team works from
Purpose-built dashboards and views, each answering a question a specific role needs to act on.
A representative layout of the KPI tiles and charts these dashboards present. Figures shown are illustrative examples, not real data.
Programme overview
A single view of screening, cases, due diligence and SLAs, with headline indicators and their direction of travel.
Operational health
Queue volumes, ageing and SLA adherence across compliance operations, highlighting where pressure is building.
Screening quality
False-positive rates, disposition mix and coverage over time, guiding where screening tuning is needed.
Case analytics
Case volumes, outcomes and cycle times by type and team, surfacing bottlenecks and trends.
Risk & control coverage
How risk and control activity is tracking across the programme, connecting operational data to the risk picture.
What the platform automates
Rules, workflows, alerts and scheduling that run the routine so your team works the exceptions.
Live metric refresh
Dashboards update continuously from the platform record, so views reflect the current state without manual compiling.
Threshold alerting
A metric crossing its defined threshold raises an alert automatically so an emerging issue surfaces early.
Scheduled distribution
Recurring dashboards and management-information packs are generated and distributed automatically on a schedule.
Trend detection
Sustained movement in a key indicator is flagged automatically, distinguishing a developing problem from normal noise.
Anomaly surfacing
Figures that diverge unexpectedly from their pattern are surfaced automatically for the function to investigate.
Where AI helps the analyst
Assistive, decision-support features that speed up the work on the record. Suggestions are always reviewable, and a person stays in control of every decision.
Trend explanation
Explains in plain language what appears to be driving a movement in a metric, for the analyst to verify against the underlying records.
Anomaly highlighting
Points out figures behaving unusually so the function can investigate, without drawing conclusions on its own.
Narrative summarisation
Drafts a summary of programme performance from the live metrics for management review, which a person edits and owns.
The enterprise workflow
A defined, end-to-end process with clear ownership at every stage.
Every result, decision and override is captured against the record it belongs to.
Connect the sources
Analytics draw on the platform's live screening, case, due-diligence, SLA, risk and control data from one place.
Define the metrics
Key indicators are defined once against the platform data so every team measures the same thing the same way.
Compose dashboards
Role-appropriate dashboards are assembled from the shared metric library for analysts, managers and the MLRO.
Monitor
The function watches live metrics and trends, with threshold alerts surfacing developing issues early.
Drill & investigate
A concerning figure is pursued by drilling from the metric into the underlying cases and records driving it.
Act & report
Findings feed operational action and are exported or scheduled into governance and executive reporting.
What your team gains
The programme as it is now
Continuous metrics from the platform's own record replace stale month-end compiles, so problems are seen while they are still small.
One view, whole programme
Screening, cases, diligence, SLAs, risk and controls in one layer let the function trace how pressure flows across the programme.
Metrics you can interrogate
Drill-down turns every figure into a question the dashboard can answer, instead of sending the analyst back to the raw systems.
Problems caught as they form
Trends and threshold alerts surface an ageing queue or a creeping false-positive rate as it develops, not in hindsight.
Numbers everyone trusts
Metrics defined once and used everywhere reconcile across teams, so effort goes into acting on the data rather than disputing it.
A foundation for reporting
The same live metrics feed regulatory returns and executive packs, so operational analytics and governance reporting tell one consistent story.
Industries it serves
Works with your existing systems
Described as capabilities — OnyxOne connects to the systems your deployment requires, configured per implementation.
- Draws metrics from the screening, case, due-diligence, risk and control data already held on the platform
- Exports metrics and datasets to your existing BI and visualisation tools where you want them alongside other data
- Feeds programme metrics into your existing data warehouse for broader analysis
- Supplies the live figures that regulatory and executive reporting are built from, so numbers stay consistent
- Delivers threshold alerts and scheduled dashboards through your existing email and messaging channels
Security, compliance & reporting
Security & data handling
- Analytics data is encrypted in transit and at rest, and access is governed by granular, role-based permissions.
- Dashboards and metrics respect the underlying access controls, so a user sees only the data they are entitled to.
- Drill-down into records is subject to the same need-to-know restrictions as the source modules.
- Metric definitions and data lineage are transparent, so figures can be trusted and explained.
- Access to analytics and any export of data is written to an append-only audit trail.
- Data residency and retention for analytics are configurable to your regulatory obligations.
Compliance support
- Supports management-information and oversight expectations for a compliance programme
- Underpins SLA, coverage and quality monitoring across compliance operations
- Provides the trend and metric evidence supervisors expect a firm to monitor
- Supplies consistent figures for regulatory and management reporting
- OnyxOne presents the firm's own data — interpretation and action remain the firm's responsibility
Reports & exports
- Programme-health dashboards across screening, cases and due diligence
- SLA-adherence and workload reports
- Screening false-positive and disposition trend reports
- Case volume, ageing and outcome trend reports
- Risk and control coverage analytics
- Scheduled management-information packs for the compliance function
How to get the most from it
Define each metric once
Agree a single definition for every key indicator and use it everywhere. Metrics that mean different things to different teams destroy trust in the whole dashboard.
Watch trends, not just levels
A number in isolation says little; its direction says a lot. Track how indicators move so you catch a developing problem rather than a snapshot of a healthy one.
Make every metric drillable
Ensure each figure can be pursued into the records behind it. A metric you cannot interrogate raises questions without helping you answer them.
Set thresholds that prompt action
Configure alerts on the indicators that matter, tuned so they fire on real emerging issues rather than normal variation — an alert everyone ignores is worse than none.
Questions, answered
Where does the analytics data come from?
From the platform's own live record — screening, cases, due diligence, SLAs, risk and controls — rather than a separate manual compile. Because the metrics draw on current data, the dashboards describe the programme as it is now, not as it was at the last month-end.
Can we drill from a metric into the detail?
Yes. Every figure is drillable: from a rising trend you can move into the underlying cases, alerts or records driving it, so the dashboard answers the question it raises rather than sending you back to the source systems to investigate.
How do you stop teams measuring things differently?
Metrics are defined once against the platform's data and reused across every dashboard, so a given indicator means the same thing everywhere and figures reconcile across teams. The shared definitions are what let the function trust and act on the numbers.
How does this relate to executive and regulatory reporting?
Compliance Analytics is the operational, drill-downable view for the function itself. The same live metrics feed executive reporting and regulatory returns, so operational analytics and governance reporting are built on one consistent set of figures.
Does OnyxOne interpret the numbers for us?
The platform surfaces metrics, trends and alerts and can highlight what looks anomalous, but interpreting what the data means and deciding what to do about it remains the firm's responsibility. OnyxOne presents your own data as decision-support, not as a verdict.
See Compliance Analytics in your programme
Book a walkthrough and we'll show how this module fits your policy, workflows and obligations — then scope an implementation.