1
Financial readiness model
The DALC + RADA-Q pipeline frames architecture weaknesses as model-based annual exposure estimates with a five-year outlook under documented assumptions.
RADA-Q financial readiness • Patent pending
Your data has a price tag. Do you know it?
Schaaq Scanner diagnoses structural data weaknesses and frames them as model-based annual exposure estimates with evidence confidence. No cloud dependency. No ongoing alert noise. Just a clearer financial readout of poor data architecture.
Real Schaaq Scanner dashboard
On-prem • Read-only • Report-ready
Estimated annual exposure identified in a recent scan
A$0
Direct, amplified and projected exposure derived from documented economic modelling.
Assessed properties
7
Semantic identity, governance, traceability, measurement and more.
Automated engine checks
CI
Protected by deterministic checks and synthetic sector fixtures.
Detection without financial context is noise.
$12.9M
Average annual cost of poor data quality per organisation, based on Gartner research frequently cited in enterprise data quality guidance.
7
Architecture properties conceptually aligned with recognised data management principles across semantic identity, governance, measurement, anti-corruption and traceability.
CI
Automated tests and synthetic fixtures protect deterministic engine behaviour across diagnostic and reporting paths.
0
Bytes of client data that leave your environment during a standard deployment. Schaaq runs locally and can operate in air-gapped settings.
Why it exists
Monitoring tools tell you when pipelines break. Schaaq estimates what poor architecture may be costing you.
Schaaq is positioned upstream of observability and governance tooling. It is a one-time or episodic diagnostic used to establish the business case for remediation, architecture uplift or downstream monitoring investment. The output is designed for executives, consultants and buyers who need model-based exposure estimates, not another alert stream.
2
Consultant-ready output
Generate branded reports that can be used in executive meetings, pre-sales discovery, governance programmes and remediation roadmaps.
3
On-prem by design
Read-only local execution reduces sovereignty, security and procurement friction for mining, energy, government and regulated industries.
Connectors
Scan databases, warehouses, lakehouses and reporting layers.
Three database adapters with a 3-step connection wizard. Test-connection verification, schema auto-discovery, and configurable timeouts included.
PostgreSQLDatabase
Microsoft SQL ServerDatabase
MySQLDatabase
How it works
Connect. Diagnose. Quantify. Export.
Schaaq is deliberately simple in operation so the conversation stays focused on architecture and cost, not tool administration.
STEP 1
Connect a source
Point Schaaq at a supported database, warehouse or metadata source. The scanner runs read-only inside your environment.
STEP 2
Analyse the estate
The engine evaluates your schema across multiple architecture properties and automated checks, then scores findings by severity and cost contribution.
STEP 3
Export an executive report
Deliver an HTML, PDF or CSV output with your findings, projected cost path and remediation priorities.
RADA-Q readiness layer
Ten capabilities that make the diagnostic useful without overstating certainty.
RADA-Q frames the DALC diagnostic as a financial readiness readout: estimated exposure, evidence confidence, modelled remediation economics, and clear claim boundaries.
1
Persistent Scan History
Save and compare previous scans. Track how data architecture quality changes over time with trend indicators.
2
Structured Evidence Envelopes
Every finding is backed by a complete evidence trail — the specific data points, statistical measures, and thresholds that triggered each issue. No black-box assertions.
3
Evidence Confidence and Intervals
Financial readouts include confidence context so estimates remain decision-useful without pretending to be audited or exact.
4
Dual-Layer Reporting
Technical mode for data engineers with full statistical detail. Executive mode with assumptions, limitations and board-ready framing for CxOs and VPs.
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Modelled Remediation Economics
Groups findings into themed remediation actions and estimates expected savings, residual exposure, payback and five-year impact under documented assumptions.
6
Sector-Calibrated Assumptions
Mining, ESG, and Energy packs tune assumptions and context without claiming certified peer ranking or transaction benchmarks.
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Economic Blast-Radius Analysis
Visual mapping of how each finding can cascade through the organisation. Identifies the findings that drive the largest modelled exposure.
8
Statistical Anomaly Detection
Automated detection of data quality anomalies using outlier analysis and null rate spike monitoring. Catches problems that manual review would miss.
9
Multi-Database Support
PostgreSQL, Microsoft SQL Server, and MySQL adapters with a 3-step connection wizard. Test-connection verification and schema auto-discovery included.
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Deterministic Test Harness
Synthetic fixture environments and automated checks protect deterministic engine behaviour across adapters, scoring rules, evidence packs and export formats.
DALC + RADA-Q engine
Built on proprietary diagnostics, not generic rules.
Schaaq does not stop at profiling or flagging issues. DALC scores architecture weakness, while RADA-Q frames the result as a model-based annual exposure and readiness readout for executive decision-making. The output is deterministic, sector-calibrated, evidence-confidence-aware, and bounded by documented assumptions.
How it works
Schaaq Scanner runs your schema through the canonical DALC diagnostic, then applies the RADA-Q financial readiness layer to produce estimated exposure, evidence confidence, and modelled remediation economics. It is not a valuation, audit, accounting conclusion, legal opinion, or compliance certificate.
Architecture properties
Every scan rolls up to interpretable property scores.
These are designed to be technically credible and commercially legible so teams can move from symptoms to root causes.
Real property drill-down view
P1–P7 • Findings • Estimated cost
What the scanner assesses
Each scan evaluates your architecture across seven diagnostic properties — covering structural quality, temporal consistency, semantic clarity, volumetric health, and cross-system alignment. Every property produces an interpretable maturity score that feeds the RADA-Q evidence-confidence readout.
Where Schaaq fits first
Best suited to sectors where structural data weakness becomes financial, operational or regulatory risk.
Schaaq is especially strong in environments with multiple operational systems, inherited schemas, manual reporting workarounds and board-level disclosure obligations.
Mining & resources
Database integrity underpins mineral resource estimation, operational reporting and environmental disclosure. Legacy schema complexity is common.
Energy & utilities
Asset telemetry, reporting chains and contractor-heavy data flows create fertile conditions for hidden architecture cost and operational risk.
Government & defence-adjacent
On-prem deployment, read-only access and no telemetry matter where sovereignty, procurement and security review are significant constraints.
Financial services & ESG reporting
Where reporting quality, operational resilience and evidence quality matter, structural data weaknesses become executive and board issues quickly.
Regulatory pressure
Why data architecture quality is becoming harder to ignore.
Schaaq is not sold as a compliance product. It is a model-based readiness diagnostic that estimates exposure sitting underneath these obligations.
Group 1 from Jan 2025
Group 2 from Jul 2026
Group 3 from Jul 2027
ASIC mandatory climate disclosures
If your data architecture has structural gaps, sustainability disclosures may rest on weaker evidence than leadership expects.
APRA CPS 230
Operational risk management now makes poor data processes a live operational-resilience issue for regulated entities and their service-provider ecosystems.
OAIC Privacy Act — APP 10 & 11
Australian privacy principles require reasonable steps to ensure personal information is accurate, complete, up to date and protected. Architecture quality affects how readily those qualities can be evidenced.
JORC Code 2012
JORC's database integrity criterion explicitly addresses protection against transcription and keying errors. Mineral resource estimates depend on the structural quality of the underlying database.
Market position
Complementary to observability. Not another observability platform.
Schaaq is best used before or alongside monitoring investments because it establishes a model-based business case for why architecture issues matter.
| Capability | Schaaq Scanner | Monitoring tools |
|---|---|---|
| Primary job | Diagnose structural data architecture weakness and estimate model-based annual exposure. | Monitor data quality events, anomalies, freshness and pipeline reliability over time. |
| Commercial output | Executive report with evidence confidence, modelled remediation economics, exposure mapping, sector-calibrated assumptions, and evidence envelopes. PDF and in-app delivery. | Operational alerts, dashboards, incident workflows and data observability metrics. |
| Deployment fit | Read-only local execution. No telemetry. Air-gap capable. | Typically cloud-first or hybrid, with ongoing integration and monitoring footprint. |
| Decision owner | CIO, CDO, CFO, programme sponsor, consultant or transformation lead. | Data platform, analytics engineering and operations teams. |
| Best time to buy | When the organisation needs a model-based business case for architecture uplift or tool investment. | When the organisation already has a sustained data quality or reliability operations motion. |
Report output
Built to move an executive conversation forward.
Every output is from the real product. Designed to be commercially useful in discovery meetings, steering committees, and remediation planning sessions - with evidence envelopes, confidence context, sector-calibrated assumptions, and RADA-Q claim boundaries included.
Report export view
HTML • PDF • CSV
A
Estimated exposure with evidence confidence
A model-based headline range with evidence context, not an audited loss figure or false precision.
B
Severity distribution
Critical, High, Medium, Low breakdown across all diagnostic areas.
C
Risk-adjusted exposure map
Visual cascade analysis showing how each finding can propagate modelled exposure across the organisation.
D
Modelled remediation economics
Fixes prioritised by expected impact, effort bands, and payback assumptions.
E
Sector-calibrated assumptions
Mining, ESG, or Energy context used to tune assumptions and executive interpretation.
F
Evidence package
Evidence envelopes for every finding to support review, challenge and traceability.
Engagement models
Start with the commercial model that matches your buying motion.
Schaaq can be deployed as an assessment, licensed to consultants, or structured as a broader enterprise or partner arrangement.
Managed assessment
Schaaq is run by the Schaaq team or a delivery partner. Best when speed and executive clarity matter more than software procurement.
- Fastest route to value
- Good fit for pilots and regulated reviews
- Includes briefing and report interpretation
Consultant licence
Best for boutique advisory firms and data consultants who want a repeatable white-label diagnostic to open remediation work.
- Annual licence with scan credits
- Full white-label report output
- Strong pre-sales and advisory tool
Enterprise / partner
Used for larger internal programmes, OEM scenarios and multi-user deployment where the engine becomes part of a broader service offer.
- Custom annual commitment
- Partner branding and multi-user access
- Suitable for OEM and channel models
Pricing
Designed for high-value diagnostics, not commodity data tooling.
The right starting point depends on whether you want Schaaq delivered for you, used by your advisory team, or structured into a partner model.
Managed Assessment
From A$9,500
Per engagement. We run the scan and deliver the report.
- Single environment baseline assessment
- Executive report and exposure narrative
- Readout session and modelled remediation priorities
Consultant Pro
A$15,000
Per year. 36 scans, full white-label, scenario comparison.
- White-label reports and branding support
- Designed for repeat client work
- Strong fit for advisory and pre-sales teams
Enterprise / Partner
Custom
Annual commitment for unlimited scans, multi-user access and OEM branding.
- Unlimited scans
- Multi-user and partner deployment
- Suitable for OEM and channel models
About & approach
Built in Perth, Western Australia — close to one of the world's most data-intensive resources markets.
Schaaq was developed for environments where inherited schemas, reporting pressure and operational complexity create large hidden costs. The DALC + RADA-Q pipeline is purpose-built, deterministic, and designed to run entirely inside your environment without sending data to external services.
DALC + RADA-Q calculation pipeline
Multi-model architectureThe engine uses a proprietary multi-model architecture to produce sector-calibrated exposure and readiness estimates.
Patent pendingThe diagnostic architecture is marked patent pending while Schaaq keeps customer outputs framed as model-based estimates, not valuation or compliance conclusions.
Not heuristics, not AI-generatedThe engine uses deterministic mathematical models — not large language models, not scoring heuristics, not crowd-sourced benchmarks. The same inputs always produce the same outputs.
Your data never trains a modelUnlike cloud-based AI tools, Schaaq runs locally. Your schema metadata, findings, and exposure estimates are never sent to third-party servers or used to train language models. The calculation happens entirely inside your environment.
DAMA DMBOK alignmentThe assessment framework is conceptually aligned with recognised data management and governance principles rather than ad hoc scoring systems.
Zero data exfiltration
The scanner runs locally. No telemetry is required to generate results or export reports.
Read-only access
Designed for analysis, not mutation. The product is intended to inspect schemas rather than change them.
AES-256-GCM credential encryption
Credential handling is designed around encrypted local storage rather than cloud-hosted account dependency.
No telemetry
There is no requirement to stream usage or dataset information to a vendor service.
Air-gap capable
Suitable for environments where outbound data flow is prohibited or tightly controlled.
Self-contained reports
Outputs are designed to travel inside the client environment without forcing users back into the application.
FAQ
Common questions from technical and commercial buyers.
These are the points that typically matter in discovery: fit, deployment, overlap with other tools and how Schaaq is bought.
Yes, if you need continuous monitoring. Schaaq is strongest earlier in the buying journey because it creates a model-based case for why architecture and data quality weakness deserve investment in the first place.
The standard deployment model is on-prem and read-only. Reports are generated inside your environment and can be moved according to your own security controls.
RADA-Q frames DALC outputs as estimated exposure, evidence confidence, and modelled remediation economics under documented assumptions. It does not determine fair value, accounting recognition, legal opinion, audit assurance, or compliance status.
The technical buyer may sponsor the scan, but the commercial value is usually most obvious to executives responsible for budget, risk, reporting or transformation outcomes.
The fastest route is usually a managed assessment. Consultant licensing and enterprise or partner arrangements make sense once the value proposition has been proven inside your environment or service model.
Current scanner builds support PostgreSQL, Microsoft SQL Server, and MySQL. The guided connection wizard includes connection verification, schema auto-discovery, and configurable timeouts. Additional adapters are on the roadmap.
Next step
Book a Schaaq assessment or partner conversation.
If you want a model-based view of architecture risk before committing to a larger programme, Schaaq is designed for that exact decision point.
•Use Schaaq as a fast, on-prem managed assessment.
•Use consultant licensing to open remediation and governance engagements.
•Use enterprise or partner structures for repeatable internal or white-label delivery.