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WEBSITES · PLATFORMS · SECURITY · AI

DAAS PLATFORMS · DUBAI

The product is the data's accuracy, not a set of screens

Data as a Service sells access to structured, maintained data on a subscription, reached through an API rather than a user interface. The product is the ongoing work of collecting, cleaning and updating that data, not the software around it.

THE RANGE OF PRACTICE

What an unverifiable freshness claim looks like, and what a checkable one looks like

Described by behaviour, not by a score.

NO SCHEDULE

Data updated whenever someone gets to it

A customer has no way to know if a record is current or months stale, because there is no stated schedule to check it against.

CLAIMED FRESH

A general claim of being "up to date"

The provider says the data is current. Nothing on the record itself lets a customer verify that independently.

VERIFIABLE

A stated schedule, timestamped per record

Every record carries a last-updated timestamp, so freshness is something a customer can check, not something they take on trust.

WHERE WE SIT

A schedule stated, and a timestamp on every record

From 15,000$4,084€3,597.

A DaaS platform is built with a stated update schedule and a last-updated timestamp exposed on every record, so a customer's own system can check freshness programmatically rather than take a general claim on trust. That verifiability is treated as core to the product, not an optional dashboard feature.

STRAIGHT ANSWERS

Questions about DaaS platforms

The ones that come up before anyone signs anything.

Data as a Service sells access to structured, maintained data on a subscription, reached through an API rather than a user interface. SaaS sells software a person uses. DaaS sells data another system consumes, and the product is the accuracy and freshness of that data, not a set of screens.

Collection, cleaning and keeping it current. Raw data is often available somewhere for free or cheap. What a DaaS product actually sells is the ongoing work of structuring it consistently and updating it on a schedule a customer can rely on, so their own system does not have to do that work itself.

A stated update schedule and a way for a customer to verify it, a last-updated timestamp on every record rather than a general claim that the data is "current". Freshness that cannot be checked is a claim, not a feature.

From 15,000$4,084€3,597, depending on data sourcing complexity and update frequency. An MVP typically takes two to six weeks. Third-party data sources, where used, are billed at cost.

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