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PILLAR 03

Data Asset Discovery, Valuation & Monetization

Discover, prove, value, productize, monetize, and capitalize enterprise data assets. The flagship KRYOS practice, built on EARM recognition and KRDS multi-layer valuation.

Sub-services & deliverables

29 named deliverables in this pillar.

Each is engageable as a diagnostic, sprint, project, managed program, or board / investor advisory pack.

Enterprise Data Asset Discovery

Forensic discovery of every data asset across systems, pipelines, and shadow stores.

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FREE DIAGNOSTIC

Free Data Treasure Map on one source system.

Data Asset Passporting

Issue transferable, evidence-tagged passports for every recognized data asset.

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Board-Ready Data Inventory

An inventory the board can rely on - typed, owned, evidence-tagged, and rights-aware.

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Data Ownership Matrix

Map every asset to its accountable owner, steward, and consumer.

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Source-System-to-Asset Map

Trace every recognized asset back to its source-of-truth systems.

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Data Boundary Mapping

Define legal, jurisdictional, and contractual boundaries for each asset.

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Sensitive Data Classification

Classify PII, PHI, financial, and special-category data with enforced handling rules.

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Evidence Tag Matrix

Apply the KRYOS evidence taxonomy: observed, derived, asserted, withheld, excluded, benchmarked.

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AI Utility Classification

Tag every asset by its AI utility class - training, eval, retrieval, telemetry, or governance.

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Monetization Readiness Index

Score how close each asset is to revenue under realistic rights and product constraints.

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FREE DIAGNOSTIC

Free Monetization Potential Report on one asset.

Capital Readiness Index

Score the portfolio against investor, lender, M&A, and insurer expectations.

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Data Asset Recognition Review

EARM-based decision on what crosses recognition thresholds and what is excluded.

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Measurement Eligibility Audit

Confirm which assets meet measurement preconditions before valuation runs.

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Data Impairment Review

Identify recognized assets that should be impaired, written down, or excluded.

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Excluded Asset Register

A defensible record of what was reviewed, considered, and explicitly excluded.

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KRDS Multi-Layer Data Valuation

Composite valuation across cost, market, income, utility, AI contribution, obsolescence, risk, and option.

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Cost-to-Create Valuation

Historical cost of producing the asset, evidence-tagged and reconstructed.

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Cost-to-Recreate Valuation

What it would cost today to rebuild the asset from scratch.

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Replacement Cost Valuation

Cost to procure or build an equivalent asset on the open market.

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Market Comparable Valuation

Value derived from comparable transactions, licenses, or benchmarks.

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Income Approach Valuation

Discounted future income directly attributable to the asset.

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Relief-from-Royalty Valuation

Value as the avoided royalty for licensing equivalent data externally.

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With-and-Without Data Analysis

Counterfactual valuation: what does the business lose without this asset?

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Internal Value-in-Use Ledger

Ledger of the internal economic value each asset produces in operations.

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External Monetization Value Ledger

Ledger of realized and addressable external revenue per asset.

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Option Value Analysis

Real-option value of optionality embedded in the asset (future products, partnerships, expansion).

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Data Obsolescence Schedule

Decay curves for each asset class with refresh and retirement triggers.

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Risk-Adjusted Valuation

Bands adjusted for rights, jurisdictional, technical, and counterparty risk.

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P10/P50/P90 Valuation Bands

Distributional valuation outputs that survive hostile diligence.

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What every engagement guarantees

The KRYOS standard.

Evidence-tagged inputs

Every claim carries a provenance and quality tag - no untraceable assertions.

Red-team review

Independent adversarial challenge before delivery - by design, not by exception.

Executive-ready output

Decision packets, not slide decks. Sized for the role that has to act.

No unsupported guarantees

We do not promise valuations, funding, or regulatory outcomes. We deliver evidence.

Engagement

Begin with a forensic data asset assessment.

A focused engagement that maps your data estate, scores assets against KRYOS frameworks, and produces a board-ready brief on what to recognize, value, productize, and capitalize.