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Financial quantification
DALC v4 converts disorder, findings and dependency cascades into a dollar-denominated annual loss estimate with a five-year outlook.
One-time diagnostic · Board-level output
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 DALC v4 modelling.
Assessed properties
7
Semantic identity, governance, traceability, measurement and more.
Deployment profile
0 bytes
No telemetry. No data exfiltration. Air-gap capable.
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.
15
Automated checks run across your schema to identify structural weaknesses, risk patterns and remediation priorities.
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.
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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.
Schaaq is designed to work where your operational and reporting architecture already lives.
PostgreSQLDatabase
SnowflakeCloud warehouse
DatabricksLakehouse
SQL ServerDatabase
MySQLDatabase
CSV / ExcelFlat file
Power BIBI metadata
TableauBI metadata
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 seven properties and fifteen 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.
DALC v4 engine
The financial model is the product moat.
Schaaq does not stop at profiling or flagging issues. It converts architecture disorder into a financial exposure model through a layered calculation pipeline designed for executive decision-making.
The engine measures the distribution of maturity across your data architecture properties and produces a normalised disorder score. A well-governed system scores low; a chaotic one approaches maximum disorder. This score directly scales the downstream cost model.
Using your organisation's annual revenue and sector profile, the engine allocates base costs across five categories: unplanned engineering rework, data quality remediation, failed integration, lost productivity, and regulatory/compliance exposure. Each category is calibrated with sector-specific parameters — mining firms carry higher regulatory exposure weights than SaaS companies.
The 15 automated checks produce severity-rated findings across all 7 properties. Each finding adjusts the base cost model non-linearly — a few critical findings in the same area compound through dependency effects, reflecting how real organisations experience cascading data failures.
This layer constructs a sector-calibrated dependency matrix and computes the fully amplified cost vector — accounting for the way that weakness in one area propagates into others. The amplification ratio typically runs 1.3x to 2.4x, converting direct costs into total organisational impact.
The final layer projects costs over five years. The “do-nothing” path assumes disorder-driven cost compounding. The “post-remediation” path models remediation investment using sector benchmarks and heavy-tail probability distributions for extreme cost events. Output: recommended investment, payback period, annual saving, and five-year cumulative saving.
Seven architecture properties
Every scan rolls up to seven 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
- Entity name consistency across schemas
- Near-duplicate naming patterns and variant detection
- Shared semantic entities with divergent naming standards
- Reference data type consistency
- Controlled vocabulary coverage
- Enumeration standardisation across tables
- Cross-schema duplicate entities
- Boundary violations between domains
- Ownership ambiguity in shared structures
- CSV landing patterns inside core schemas
- Wide-table anti-patterns
- Disconnected “island” tables and weak transformation boundaries
- Primary key coverage
- Naming convention consistency
- Documentation and structural hygiene signals
- Null concentration and missingness patterns
- Index and constraint signals
- Structural markers associated with poor measurement capability
- Audit column availability
- Constraint and lineage-friendly structures
- Change tracking signals for reporting-grade datasets
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, remediation roadmap, five-year cost path, consultant-ready PDF. | 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 screenshot below is from the real product. The output is designed to be commercially useful in discovery meetings, steering committees and remediation planning sessions.
Report export view
HTML • PDF • CSV
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Executive summary
Translate scan results into a board-readable cost narrative with top findings, cost categories and a remediation recommendation.
B
Consultant-ready branding
Use the same engine to support white-label advisory work, partner delivery models and executive workshop material.
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Scenario comparison
Quantify the cost of doing nothing versus investing in a post-remediation path, with payback and five-year savings.
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 & methodology
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 DALC v4 engine is a proprietary calculation pipeline that synthesises techniques from multiple branches of applied mathematics into a single cost quantification model — purpose-built, deterministic, and designed to run entirely inside your environment without sending data to external services.
Proprietary calculation engine
Multi-model architectureDALC v4 is a proprietary engine that synthesises and adapts techniques from information theory, economic modelling, matrix analysis, and statistical simulation into a unified cost quantification pipeline.
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.
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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