DataHex for data vendors
Turn Data Governance into a Competitive Advantage
A capital markets data catalog that organizes your data as governed data products, connected to the marketplace where your customers license them.
Turn Data Governance into a Competitive Advantage
Data quality, lineage, ownership, access and audit are first-class surfaces on every data product, so governance is applied within each workflow rather than bolted on afterwards. The products you choose to license publish to your DataHex Data Shop storefront, carrying the same definitions, lineage and quality your internal teams rely on.
- 01 · GOVERNOne governed inventory
- 02 · DNASchema, lineage, quality, contract
- 03 · OWNERSHIPOwners, stewards, domains
- 04 · PUBLISHLibrary to Data Shop, one step
The vendor challenge
Commercializing data starts with governing it
A data vendor’s revenue depends on data assets that are sourced, transformed, packaged and licensed across many teams. When the internal picture is fragmented, the commercial picture is too.
No single inventory of data assets
Data sets, derived products and feeds are spread across platforms, with no single inventory of what the business holds and sells.
Unclear ownership
When no one is named against a product, quality issues, change requests and customer questions have nowhere to land.
Internal and external views drift
Definitions, lineage and quality presented to customers diverge from what internal teams maintain.
Access managed by exception
Internal access to licensed and restricted data is granted by ticket and email, with limited audit.
Data asset DNA
Define and track the DNA of every data asset
Underneath the Library sits a living knowledge graph that connects every asset, column, owner, team, glossary term, classification, quality signal, lineage edge, policy, contract, domain, metric and usage record. Relationships are first-class: not just that a dataset exists, but what it means, where it came from, who owns it, how it is used, and whether it can be trusted.
01Meaning and classification
- A central business glossary and hierarchical taxonomy, so every producer uses the same definition
- Classification against the firm’s taxonomy and sensitivity levels: public, internal, confidential, restricted
- Security master and instrument identifiers embedded in the graph, so a dataset resolves to the actual instruments it references, not just column names
- Custom taxonomy per tenant, shipped as version-controllable YAML
02Origin and lineage
- Automated table, column, pipeline, dashboard and ML-model lineage from SQL, dbt, Airflow and Spark, with OpenLineage ingestion and manual enrichment
- Column-level lineage traced from query logic, so the impact of a schema change is exact
- Impact analysis: change a source and see every downstream consumer it touches
03Quality and data contracts
- Quality metrics for completeness, freshness, schema stability, primary-key uniqueness and downstream usage
- Profiles with null counts, distinct values, distribution shape and anomaly flags; SQL-defined freshness, volume and integrity tests on a schedule with alerting
- A data contract on every product: expected schema, required semantics, assigned quality tests and execution history, so upstream changes surface as contract breaks before they reach a customer
04Commercial and licensing profile
- Vendor licensing, redistribution rights and entitlements modeled as first-class governance objects: instruments, volume, venues, history
- The Compliance Agent reads license agreements and data contracts, extracting entitlement, redistribution and retention terms and tracking obligations, renewals and breach conditions
- Usage signals surface most-used and under-used assets, and failed searches signal unmet demand
Ownership
Clear accountability on every data product
Federated by design, so business domains publish and own their data products while definitions, ownership, lineage and policy stay governed in one central layer.
Named owners
and stewards
Each product has explicit owners on its detail page. Customizable roles, such as Consumer, Steward and Admin, are scoped per tenant.
Governed
business domains
Products are organized into governed domains, by desk, asset class or business unit, each with clear ownership.
Stewards review,
not author
The Governance Agent drafts each data product (name, description, taxonomy, schema, license terms, lineage hints, quality dimensions) from a connection or sample file for the steward to approve.
Knowledge that
stays with the firm
Analyst questions, steward decisions, definitions and corrections accumulate in the graph as reusable institutional knowledge, so context compounds instead of leaving with the people who held it.
Library to marketplace
Connect your internal library to your public marketplace
DataHex Data Library and DataHex Data Shop share one platform. The products you license are the same governed assets your teams maintain, so there is no second catalog to build, reconcile or keep current.
- 01
Govern internally
Assets are onboarded, profiled and owned in the Data Library.
- 02
Mark as licensable
The owner flags which products, or which cuts of them, are available for license.
- 03
Publish to Data Shop
Owners present each product with live sample charts, distributions, coverage timelines and time-series previews, so a prospective customer can judge fit before subscribing.
- 04
Sell and track
Customers discover, access, check out and connect. Usage flows back to the Library.
What you get
One source of truth
A catalog listing becomes a merchandised product page, drawn from the governed record, so the storefront never drifts from the data.
Subscription management built in
Entitlement manager, subscriber registration and preferences, eCommerce flows and internal chargeback on the same platform.
Rights checked before publishing
Entitlement enforcement and usage auditing demonstrate that third-party data is consumed and redistributed within licensed terms.
Commercial insight
Internal and external usage in one view surfaces cross-sell, upsell and new product opportunities.
Data transformation and product development
From raw data to higher-value data products
Each step up the value chain creates a new product to license. Because every derived product is governed in the Library, its lineage back to the raw source, its owner and its licensing profile are recorded from the start, and it can be listed on Data Shop when it is ready.
Raw data
Tick, reference, corporate actions and alternative sources ingested, cleansed, conformed and enriched on the DataHex Data Management platform.
Analytics
Curated bars, pre-calculated metrics, risk measures such as Greeks and Sharpe ratio, and derived domain-specific analytics.
Investment signals
Thematic, ESG and economic signals built with AI and machine learning, using tools such as DataHex Thematic Studio and CISSA Economic Lens.
Use case solutions
Packaged solutions that answer a specific workflow, delivered to customers ready to use.
Indices and ETPs
Index levels, constituents and weights calculated from governed data, licensed as benchmarks or as the basis for exchange-traded products.
Tools for signal and product development
DataHex Thematic Studio
Build thematic investment signals from your data and issuer disclosures, then package them as licensable thematic data sets, baskets or index inputs.
Explore DataHex Thematic StudioCISSA Economic Lens
Add economic-performance signals to your product range, giving customers a fundamentals-based lens to combine with your market data.
Explore CISSA Economic LensUse case solutions
Transaction cost analysis
A customizable suite of TCA analytics, available near real time, intraday or as an end-of-day batch.
Best execution reporting
Full order book history with nanosecond timestamps to evidence execution quality against the market.
Trading compliance and surveillance
Consistent L1 and L2 tick data across asset classes to support MiFID II, Basel III FRTB and market surveillance.
Turn data and signals into benchmarks
Signals and analytics can become the rules behind an index, and an index can become the basis for an exchange-traded product. Each step is a licensable product with its own customers.
- Index methodologies built on governed, point-in-time data
- Lineage from each index value back to its source data, for methodology and audit reviews
- Index levels, constituents and weights licensed through Data Shop to asset managers and ETP issuers
- Security master mapping so constituents resolve to the correct instruments across history
Internal access controls
The right people see the right data
Internal teams need access to restricted and third-party data without breaching the terms it was licensed under. The Library enforces those terms at the point of use.
Role-based access control
Customizable roles scoped per tenant. Stewards approve access requests for the products they own; admins hold platform-wide override, so approvals do not bottleneck on one team.
Fine-grained controls
Access scoped to product, table, partition and row level, enforced for humans and agents alike.
Masking and classification
Policy-driven masking and redaction protect sensitive fields, and classification travels through lineage and delivery so protection is never lost downstream.
Approval workflows
Multi-step and configurable. In-UI requests carry justification and partition-range context, with permissions synced to the source of truth.
Full audit trail
A complete audit trail records every user operation and data-access event. Compliance reporting and security-event monitoring run on the same substrate.
Governed AI access
MCP-native, and every agent inherits the same entitlements, lineage, classification, policy and audit as a human user, so adopting AI does not widen your control surface.
Who it serves
Built for every team inside a data vendor
| Team | What they need | How DataHex delivers it |
|---|---|---|
| Heads of data product | A clear inventory of what the business holds and sells | Every asset profiled, owned and flagged as internal or licensable |
| Data owners and stewards | Accountability without manual overhead | Named ownership, approval workflows and change history on each asset |
| Commercial and sales teams | Accurate product information for customers | Storefront listings drawn from the governed record, with usage insight |
| Compliance and legal | Upstream license obligations respected | A Compliance Agent that extracts entitlement, redistribution and retention terms from contracts |
| Data engineering | Fewer access tickets and fewer catalogs to maintain | Automated lineage, self-service access and one platform for internal and external distribution |
Getting started
A managed path to one governed estate
Multi-tenant or dedicated instance, on AWS or Azure, in customer-managed or RoZetta-managed accounts. Storage stays in the region you already operate in.
Connect sources
130+ out-of-the-box connectors plus purpose-built market-data connectors for tick feeds, security master, corporate actions and vendor services.
Profile and assign
The Governance Agent drafts each product for steward review. What can take a day per dataset takes minutes, and bulk onboarding stands up dozens of products from curated specs.
Set access policy
Entitlements, roles and masking configured to mirror internal policy and upstream licenses.
Publish to Data Shop
Licensable products listed on your branded storefront, with usage flowing back to the Library.
See how your data assets can be governed, owned and ready to license
A walkthrough tailored to your use case, ownership model and marketplace plans.