Know where every number comes from.
Source, grain, transformation, exclusions, and freshness stay visible.
R.U.R. Platform · by OneyAnalytics
Reality: Understood & Revealed.
Bring scattered business data into focus. Radius gathers and validates it. Primus prepares a consistent analytical view. Glory reveals the signals and keeps the next step in sight.
01 Identify material movers02 Trace governed evidence03 Initiate accountable follow-through
Based in Durham, North Carolina · Available for fully remote engagements · Travel by agreement
Radius → Primus → Glory
From business reality to a clearer decision.
A connected workflow for gathering, preparing, and understanding your data.
Earlier platform walkthrough · synthetic data07:49
Material movers.Governed evidence.Reproducible analysis.Accountable follow-through.
The RUR Platform decision loop
One executive outcome. Three role-specific experiences.
Glory gives leaders the focused signal-to-follow-through experience. Primus and Radius preserve the calculations, reproducible context, quality, and lineage underneath it. People and authorized AI work from the same governed evidence.
01
Executive decision experience
Glory
See what materially moved the business.
Glory brings priority signals, governed evidence, diagnostic paths, and accountable follow-through into a focused experience for leaders.
DeliversA decision-ready signal with evidence and a next step
See Glory →02
Governed analytics and contracts
Primus
Make the analysis reproducible.
Primus governs calculations, filters, diagnostic hierarchies, saved lenses, and the versioned contracts that power Decision Apps.
DeliversReproducible analysis and Decision App contracts
See Primus →03
Governed data foundation
Radius
Prepare quality-gated data products.
Radius connects approved sources, applies controlled transformations, validates quality, preserves lineage, and publishes an immutable analytical starting point.
DeliversTrusted, traceable data ready for analysis
See Radius →Choose the operating model
Use the platform at the level of control your team actually wants.
OneyAnalytics qualifies the recurring decision, evidence path, responsibility split, and operating burden before recommending a model. Company size and industry labels are secondary to the work that must be governed.
- 01
Managed Glory
Leaders use Glory; OneyAnalytics operates a bounded governed path.
Hypothesis for teams that want the decision outcome without operating the full data and analytical layer. - 02
Collaborative Platform
Customer analysts and OneyAnalytics share clearly documented responsibility.
Hypothesis for teams that want governed builder capability, enablement, and a bounded support model. - 03
Client-controlled
A capable data team operates more of Radius and Primus.
Hypothesis for teams that need greater control, portability, and environment ownership. - Research boundary
Priority hypotheses
Growing, acquisitive, data-forward, and AI-friendly organizations.
Private-equity-backed and multi-entity organizations are research segments—not proven fit, demand, or customer outcomes.
Decision areas to investigate
Start with one recurring decision that materially matters.
These areas are research and activation hypotheses, not released industry applications or evidence of market fit. Each conversation begins with a named executive decision, bounded source categories and metrics, a governed diagnostic path, and an accountable follow-through cadence.
Current proof is deliberately bounded. OneyAnalytics currently has one local synthetic Margin at Risk Decision App plus bounded governed-data and analytical workflows. The pages below help frame possible decision problems; they do not establish customer readiness, production readiness, demand, or outcomes.
01
Revenue cycle management
See the story from service to cash.
Connect operational and financial signals so teams can find the bottlenecks behind denials, aging, lag, and avoidable rework.
Explore this decision area →02Workforce efficiency
Make capacity, workload, and handoffs visible.
Bring staffing, throughput, backlog, schedule, and service-level signals into one view without reducing people to a single productivity score.
Explore this decision area →03Quality and performance
Turn quality from a retrospective report into an operating signal.
Connect outcomes, defects, incidents, exceptions, and corrective actions so teams can see what is changing and where follow-through is needed.
Explore this decision area →04IT and security metrics
Create an operating view of technology risk and resilience.
Unify asset, access, endpoint, backup, incident, vulnerability, and service signals into a decision-ready technology reporting layer.
Explore this decision area →05AI-native infrastructure
Build the operating layer AI needs to work responsibly.
Design the data definitions, workflow boundaries, model routes, approval gates, evidence, and rollback that turn AI from isolated experiments into governed operations.
Explore this decision area →06Bars, restaurants, and hospitality
Run every shift and location from a clearer view.
Connect sales, labor, margin, speed, inventory, and guest signals for bars, restaurants, venues, and multi-location hospitality operators.
Explore this decision area →Synthetic decision-loop examples
See how the experience could work in context.
The Margin at Risk scenario represents the current bounded product proof. The governed AI operations view is an illustrative concept surface. Both use synthetic data; neither is a customer result or production-readiness claim.
Open the showcase →- 01Executive decisionsOutcomes, drivers, guardrails, and the decision requested.
- 02Operating exceptionsMateriality, owner, driver, and next action.
- 03KPI contracts + lineageMeaning, source, freshness, quality, and reconciliation.
- 04Improvement + governed AIFindings, evidence, routing, review, and rollback.
The OneyAnalytics method
Good decisions need more than a dashboard.
A useful Decision App connects authoritative sources, governed metric meaning, diagnostic context, ownership, review cadence, and follow-through. The screen is only the executive layer.
See the full method →- 01
Frame the operating question
Define who needs to decide what, how often, and what currently gets in the way.
- 02
Focus the Decision App
Define the material signal, diagnostic path, evidence, and accountable next step leaders need.
- 03
Gather and validate the data
Bring approved sources, quality, timing, ownership, lineage, and recovery into a trusted data product.
- 04
Govern the analysis in Primus
Publish reproducible metrics, lenses, filters, and diagnostic contracts that Glory can rely on.
Designed for trust
Context belongs with the work.
The applications are designed to keep the source, meaning, review, and recovery considerations visible from the beginning—not add them after a prototype becomes important.
Give every metric a contract.
Definition, owner, denominator, threshold, and cadence precede the chart.
Keep consequential decisions human-owned.
AI can assist the workflow without quietly acquiring authority.
Design for exceptions and rollback.
Failure handling, validation, logs, and exit paths are documented.
Fit is an operating question
Qualify the decision—not a company-size label.
The strongest early fit is an organization with a recurring material decision, a named sponsor and metric owner, multiple approved source systems or definition disputes, and a willingness to start with a bounded read-only path.
Recurring consequenceA delay or definition dispute changes margin, cash, staffing, quality, risk, service, or growth.
Fragmented evidenceTwo or more systems, entities, teams, or acquisitions make the operating picture hard to reproduce.
Named authorityAn executive sponsor and functional owner can approve metric meaning, access, and the response cadence.
Read-only firstThe first scope can begin with approved exports or a bounded read-only path instead of broad access.
AI-ready disciplineThe organization values speed, but will preserve deterministic truth, review, and human authority.
Founder-led by design
Clear thinking before more technology.
OneyAnalytics is led by Dylan Oney and built around a simple idea: leaders and authorized AI should work from the same governed decision context. Glory brings the executive outcome forward; Primus and Radius make the evidence reproducible and trustworthy.
About OneyAnalytics →A practical first step
Which recurring decision should be easier to see and explain?
Start with the decision, the people who own it, the approved source categories behind it, and the follow-through that currently gets lost. Share the operating question and the source categories involved; please do not send private data.