Data Monetization Platform | RoZetta Technology

Turn your data into a direct-to-customer revenue channel

DataHex connects the Data Library, where you govern every data asset, to the Data Shop, where you license the products you choose to sell. It is a proven, right-sized and hosted platform, so your product and sales teams can focus on clients, product-market fit and the roadmap.

01 · GOVERNEvery data asset, one library
02 · PUBLISHLibrary to Data Shop, one step
03 · HOSTEDRight-sized, proven, run for you
04 · DEVELOPRaw data to insight products

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The opportunity

Extract value from the data assets you already hold

Package data products and license them through a streamlined e-commerce experience, with custom extracts, subscriptions, and delivery functionality to any environment.

Direct-to-customer e-commerce

Licensing and distribution made easy, with an instant digital checkout for smaller transactions.

Flexible pricing and subscriptions

Consumption-based, annual and bundled models, with automated data delivery.

Data enhancement services

Support for new product development and a reduction in client data wrangling and total cost.

Entitlements and licensing control

Permissions at user, application, department and company level, enforced at delivery.

Usage reporting and insight

See what is used, by whom and how often, surfacing cross-sell and new product opportunities.

Signal and index products

Turn proprietary data into investable signals and index products you can license.

DataHex Data Shop storefront: a branded data catalog with search, filters and data product cards

From governed catalog to marketplace

Monetize your data products direct to market

The data your organization holds is governed in a data catalog, then published to a marketplace ready for monetization, all on a single DataHex platform. The products you license are the same governed assets your team maintains, so there is no second catalog to build, reconcile or keep current.

01
Govern internally
Data sets are onboarded, profiled and owned in a governed data catalog.
02
Mark as licensable
The owner flags which products, or which cuts of them, are available for license.
03
Publish to the marketplace
Each product goes live with sample charts, distributions and coverage timelines, so customers can judge fit before subscribing.
04
Sell and track
Customers discover, access, check out and connect. Usage flows back to the catalog.

Your first data products live in weeks. 130+ out-of-the-box connectors, sample-file upload, and a Governance Agent that drafts each data product for review mean a populated catalog and a live storefront early, not after a multi-month rollout. Priority products go live first, and the rest follow in bulk.

What you get

Greater share of revenue
Monetize data assets through subscription, annual and bundled options to increase direct-to-client sales.
Access to new segments
Serve smaller firms, academics and corporates economically with self-serve onboarding and card payment.
Lower cost to serve
Automated workflows eliminate manual handling and management of smaller transactions.
Licensing matched to the deal
Click-through terms for small purchases and full agreements for enterprise licenses.
Entitlements that mirror contracts
Subscription, entitlement and quota management at user, application, department and company level.
Your branded shop front
A storefront configured and white-labeled to your visual brand.

Right-sized and hosted

License a proven platform, allowing you to focus on your clients

Marketplace platforms are rarely a core competency for data owners. Licensing a proven, hosted Data Shop increases speed to market, reduces implementation risk, and keeps your product and sales teams focused on client needs and go-to-market activity.

Live in weeks

A proven platform, configured rather than built, so the channel starts earning sooner.

Proven at scale

The platform behind CME Group’s and HKEX’s data marketplaces, hosted and operated by RoZetta.

Start with what you sell today

Launch with a focused catalog and add products, segments and pricing models as demand grows.

Clients, not infrastructure

Product and sales teams spend their time on client engagement, product-market fit and the roadmap.

Data asset DNA

Define and track the DNA of every data asset

A living knowledge graph connects every asset, column, owner, glossary term, classification, quality signal, lineage edge, policy and contract. The same record that governs a data set internally describes it to customers on the storefront.

01Meaning and classification

Business-first name, description and glossary terms, so a data product means one thing internally and externally
Classification against your taxonomy and sensitivity levels: public, internal, confidential, restricted
Custom taxonomy per tenant, shipped as version-controllable YAML

02Origin and lineage

Source systems, third-party inputs and upstream licenses recorded against each asset
Automated table, column and pipeline lineage from SQL, dbt, Airflow and Spark, with OpenLineage ingestion
Impact analysis: change a source and see every downstream product and customer it touches

03Quality and data contracts

Quality metrics for completeness, freshness, schema stability and primary-key uniqueness
Scheduled freshness, volume and integrity tests with alerting
A data contract on every product: expected schema, required semantics, assigned quality tests and execution history

04Licensing and usage

Redistribution rights and third-party restrictions modeled as first-class governance objects
Which assets are internal-only, licensable, or already published to Data Shop
Usage by internal teams and external licensees, and failed searches that signal unmet demand

DataHex Lineage tab on a data product: upstream sources feed the product, which feeds several downstream uses, each with refresh timestamps — Lineage is part of every asset’s DNA, traced back to source.

Ownership and internal access

Clear accountability, controlled access

Products are organized into governed domains, each with clear ownership. Internal access to licensed, restricted and pre-release data is enforced by the same platform that governs external subscribers.

Named owners
Each product has explicit owners on its detail page. Customizable roles, such as Consumer, Steward and Admin, are scoped per tenant.
Stewards approve access
Stewards approve requests for the products they own; admins hold platform-wide override.
Fine-grained controls
Access scoped to product, table, partition and row level, enforced for people and AI agents alike.
Approval workflows
Multi-step and configurable, with justification captured and permissions synced to the source of truth.
Masking and classification
Policy-driven masking protects sensitive fields, and classification travels through lineage and delivery.
Complete audit trail
Every user operation and data-access event recorded, with compliance reporting on the same substrate.

Access Requests in DataHex: pending, approved, rejected and revoked requests, each with requester, data source, reviewer and justification — Stewards approve, reject and revoke access for the products they own.

Product development

From raw data to high-value insight products

The value of data grows with each step from raw collection to packaged insight. DataHex gives data owners the transformation and product development capability to move up that chain, with every derived product governed in the catalog from the start.

Raw data
Source data ingested, cleansed and conformed.
Curated data sets
Normalized, documented series with quality tests and history, ready to license.
Analytics
Derived metrics, aggregates and time series that answer common customer questions.
Insight products
Signals, benchmarks and indices packaged for customer workflows, on subscription.

What makes it possible

Agile data loading
Efficient loading for structured and unstructured data, applying consistent normalization rules and resolving data quality issues.
Data enhancement services
Build, test and launch derived data products by combining your data with new internal or external data assets.
Samples and previews
Live sample charts, distributions and coverage timelines establish demand before full launch.
Demand insight
Usage and failed-search signals show which products to build next.