FAQ — LC² Consulting
LC2Insights · FAQ
← Back to Quick ReadsThe language.
The practice draws on data governance, verification cryptography, and settlement infrastructure. None of it needs to be obscure. General terms first, then the specifics of the knowledge systems the work depends on.
I
General Terms
The vocabulary.
What is data governance?+ Answer
The rules, roles, and standards that determine who can collect, use, share, and profit from data. Good governance makes data trustworthy and portable. Poor governance leaves valuable evidence unusable by the systems that need it.
What does verification mean in this context?+ Answer
The ability to prove a claim is true without simply trusting whoever made it. A verified claim carries evidence that an independent party can check. Verification is what turns a statement into an asset.
What is tokenization?+ Answer
Representing a real world asset or claim as a digital unit that can be held, transferred, and settled on programmable rails. The point is not speculation. It is making ownership and settlement faster, fractional, and auditable.
What are settlement rails?+ Answer
The infrastructure on which value actually moves. Just as payment rails move money between banks, modern settlement rails can move tokenised assets, verified claims, and payment in a single programmable step.
What is MRV?+ Answer
Measurement, Reporting, and Verification. The discipline of quantifying an outcome, documenting it, and having it independently confirmed. MRV is the backbone of any credible environmental or development claim.
What is a zero-knowledge proof?+ Answer
A cryptographic method for proving something is true without revealing the underlying information. For example, proving a supplier meets a standard without exposing their proprietary data. It enables trust without surveillance.
What is extended producer responsibility?+ Answer
A policy principle that makes producers accountable for a product across its full lifecycle, including disposal and recovery. It shifts the cost of end of life management from the public back to whoever profited from the product.
II
Knowledge Systems
The specifics.
What is a knowledge system?+ Answer
The combination of data, standards, and institutions through which an organisation or society knows what it knows. A functioning knowledge system turns raw observation into decision grade evidence that can travel between parties who do not share context.
Why does locally generated data fail to travel?+ Answer
Because portability requires standardisation. Communities often generate rich, granular evidence, but in formats that national and international allocation systems cannot read. Without a governance layer that preserves granularity while making evidence legible upward, the data stays local while the decisions stay central.
What is the difference between data quality and data existence?+ Answer
A data quality problem means information exists but is messy. A data existence problem means the information was never captured at all. Much of the Global South faces the second problem in sustainability and supply chain reporting, which mandates alone cannot fix.
What makes evidence decision grade?+ Answer
Three properties: it is structured against a recognised standard, it is verifiable by an independent party, and it is attributable to a accountable source. Evidence meeting these tests can support pricing, allocation, and enforcement decisions.
What is an attestation?+ Answer
A signed statement by an identifiable party that something is true at a point in time. Attestations are the atomic unit of trust in modern verification systems. Chained together, they form auditable trails from origin to claim.
What is data sovereignty?+ Answer
The principle that the people and jurisdictions who generate data retain meaningful control over how it is used and who benefits from it. Sovereignty does not mean isolation. It means participation in data markets on terms the originator can govern.
Why do compliance mandates not create capacity?+ Answer
A mandate creates the obligation to report, not the ability to. Structured, verifiable data requires measurement culture, systems, and governance that take time to build. Organisations that treat the mandate as infrastructure investment rather than paperwork end up with capability that outlasts the deadline.
