01
Financial quantification
The proprietary engine converts architecture weaknesses into a dollar-denominated annual loss estimate with a five-year outlook.
v3.8 — Financial Architecture Diagnostics
Your data has a price tag. Do you know it?
Schaaq Scanner diagnoses structural data weaknesses and converts them into a dollar figure your board can act on. No cloud dependency. No ongoing alert noise. Just the annual cost of poor data architecture.
Real Schaaq Scanner dashboard
On-prem • Read-only • Report-ready
Estimated annual cost identified in a recent scan
A$0
Direct, amplified and projected cost derived from proprietary economic modelling.
Assessed properties
7
Semantic identity, governance, traceability, measurement and more.
Automated tests validating the engine
503
Validated against sector-specific test schemas with 29 intentional defects.
Detection without valuation 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
DAMA-aligned architecture properties assessed across semantic identity, governance, measurement, anti-corruption and traceability.
503
Automated tests validating the engine against sector-specific test schemas with 29 intentional defects.
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 tells you what poor architecture is already 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 quantified exposure, not another alert stream.
02
Consultant-ready output
Generate branded reports that can be used in executive meetings, pre-sales discovery, governance programmes and remediation roadmaps.
03
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 01
Connect a source
Point Schaaq at a supported database, warehouse or metadata source. The scanner runs read-only inside your environment.
STEP 02
Analyse the estate
The engine evaluates your schema across multiple architecture properties and automated checks, then scores findings by severity and cost contribution.
STEP 03
Export an executive report
Deliver an HTML, PDF or CSV output with your findings, projected cost path and remediation priorities.
What's new in v3.8
Ten capabilities that make the diagnostic defensible, not just directional.
Every upgrade shipped between v3.0 and v3.8 was designed to increase the auditability, precision, and commercial utility of the scan output.
01
Persistent Scan History
Save and compare previous scans. Track how data architecture quality changes over time with trend indicators.
02
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.
03
Confidence Intervals
All cost figures include statistical confidence bands. Communicates certainty levels honestly rather than presenting false precision.
04
Dual-Layer Reporting
Technical mode for data engineers with full statistical detail. Executive mode with plain English labels and board-ready framing for CxOs and VPs.
05
ROI-Sequenced Remediation Planner
Groups findings into themed remediation actions, estimates effort bands, and computes confidence levels. Shows which fixes to do first for maximum dollar impact.
06
Sector Benchmark Packs
Pre-configured benchmarks for Mining, ESG, and Energy sectors. Scan results contextualised against industry-specific norms and peer performance ranges.
07
Economic Blast-Radius Analysis
Visual mapping of how each finding cascades through the organisation. Identifies the findings that drive the most total cost — the high-leverage fixes.
08
Statistical Anomaly Detection
Automated detection of data quality anomalies using outlier analysis and null rate spike monitoring. Catches problems that manual review would miss.
09
Multi-Database Support
PostgreSQL, Microsoft SQL Server, and MySQL adapters with a 3-step connection wizard. Test-connection verification and schema auto-discovery included.
10
Validated Test Harness
Docker-based test environment with three sector-specific persona schemas containing 29 intentional defects. 503 automated tests validate the engine.
Proprietary engine
Built on proprietary diagnostics, not generic rules.
Schaaq does not stop at profiling or flagging issues. It converts architecture weakness into an annualised financial exposure model purpose-built for executive decision-making. The output is deterministic, sector-calibrated, and confidence-interval-bounded — designed to survive board-level scrutiny.
How it works
Schaaq Scanner runs your schema through a proprietary economic engine that converts structural weaknesses into annualised financial cost. The engine is sector-calibrated and produces confidence-interval-bounded estimates with a five-year projection.
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 proprietary diagnostic properties — covering structural quality, temporal consistency, semantic clarity, volumetric health, and cross-system alignment. Every property produces an interpretable score designed to be technically credible and commercially legible.
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 auditability 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 sold as the financial diagnostic that quantifies the risk sitting underneath these obligations.
ASIC mandatory climate disclosures
If your data architecture has structural gaps, your sustainability disclosures are built on unstable foundations — and your board carries the liability.
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. Data architecture quality directly affects that outcome.
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 the quantified business case for why architecture issues matter.
| Capability | Schaaq Scanner | Monitoring tools |
|---|---|---|
| Primary job | Diagnose structural data architecture weakness and quantify annual dollar impact. | Monitor data quality events, anomalies, freshness and pipeline reliability over time. |
| Commercial output | Executive report with confidence intervals, ROI-sequenced remediation roadmap, blast-radius analysis, sector benchmarks, 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 quantified 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 intervals, and sector benchmarks included.
Report export view
HTML • PDF • CSV
A
Annual cost figure with confidence interval
A single headline number with statistical confidence bands, not false precision.
B
Severity distribution
Critical, High, Medium, Low breakdown across all diagnostic areas.
C
Economic blast-radius map
Visual cascade analysis showing how each finding propagates cost across the organisation.
D
ROI-sequenced remediation roadmap
Fixes prioritised by return on investment with effort estimates.
E
Sector benchmarks
How the organisation compares to Mining, ESG, or Energy industry peers.
F
Evidence package
Full evidence envelopes for every finding — audit-grade defensibility.
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 cost narrative
- Readout session and 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, compliance pressure and operational complexity create large hidden costs. The engine is a proprietary calculation pipeline — purpose-built, deterministic, and designed to run entirely inside your environment without sending data to external services.
Proprietary calculation engine
Multi-model architectureThe engine uses a proprietary multi-model architecture to produce sector-calibrated cost quantification.
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 cost figures 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 anchored in 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 quantifies 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.
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.
Schaaq v3.8 ships with three database adapters. The 3-step connection wizard includes test-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 quantified 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.
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