Experian Ascend Data Hub
Fast and easy-to-consume access to data and models for decisioning and analytics
New data and analytical models can strengthen credit, fraud and customer strategies. Their value depends on whether teams can understand them, connect them to the relevant environment and make them available to the analytical or decisioning process that needs them.
Each new source or model can introduce its own documentation, inputs, outputs, mapping requirements, testing, controls and ongoing maintenance. As providers and use cases multiply, repeated integration work can create backlogs and restrict which capabilities reach operational use.
Ascend Data Hub brings together public and private catalogues with a consistent integration pathway for Experian and available third-party data, models and solutions. Authorised users can discover relevant data and models, connect them using supported no-code tools and make them available to analytical and decisioning workflows, with less reliance on technology teams for each new connection.
As organisations introduce more data and analytical models into analytics and decisioning, the number of connections they need to manage can grow quickly. Different providers, formats, model inputs and technical requirements can increase maintenance effort and make approved capabilities difficult to reuse across products and strategies.
Ascend Data Hub provides a consistent way to discover, assess and connect data and models. This gives analytical, risk and decisioning teams a clearer route to the capabilities they need, while reducing the need to build a separate integration for every new requirement.
Ascend Data Hub supports a structured route from capability assessment and configuration through to operational use.
Ascend Data Hub provides a common catalogue for available Experian and selected third-party data, analytical models and solutions.
Ascend Data Hub can reduce reliance on multiple point-to-point integrations for supported sources and workflows.
Ascend Data Hub brings relevant business and technical information into one environment, so teams have consistent information about what is available.
Bespoke integrations often require separate technical design, testing and maintenance for every provider and workflow.
Ascend Data Hub provides common catalogue information, supported integration patterns and configuration tools. This can help organisations establish a more consistent pathway into analytics and decisioning as the number of data sources, models, products and strategies grow.
Finding an appropriate data source or model can depend on knowing how it is named, categorised or structured within a catalogue.
Through MCP-based connectivity, agentic AI can enable authorised users to search and interact with Ascend Data Hub catalogues using natural language. This can make it easier to discover relevant data and models before progressing through the appropriate assessment, access and connection processes.
Data or a model introduced for one acquisition, fraud or portfolio strategy may also be relevant elsewhere in the customer lifecycle.
Ascend Data Hub can make approved connections available to additional supported use cases, subject to permissions and configuration. This can reduce duplicated work and can optimise the value of existing data and model investments.
As the number of providers and analytical models grow, teams can find it difficult to establish what is available, what it does and how it may be used.
A central catalogue creates a clearer view of available data and models and their supporting information. This can support more informed selection and more consistent management across business, analytical and technology teams.
Business information
The government ABN/ABR service provides verified Australian business registration data to support data verification and compliance.
The Experian ASIC Document Images service provides access to scanned documents filed with ASIC, including company registrations, updates and resolutions.
Experian Async Gateway is an internal middleware service that bridges synchronous HTTP clients with asynchronous Ascend Update App processing via Amazon SQS. It accepts application processing requests, enqueues them for background execution and provides status tracking.
Experian Commercial Monitoring B2B enables users to create profiles, add and delete entities to those profiles for monitoring and receive alerts on changes to monitored entities.
The government NZBN service provides verified New Zealand business registration data to support data verification and compliance.
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Ascend Data Hub is a catalogue and integration capability that helps authorised users discover, assess and connect available Experian and selected third-party data and analytical models to supported analytics and decisioning processes.
Ascend Data Hub is designed for organisations that are seeking to increase the value they derive from data and models while reducing the complexity associated with acquiring, integrating and operationalising it.
You may benefit from Ascend Data Hub if your organisation:
Experian Ascend Data Hub can operate alongside existing data warehouses, data lakes and enterprise integration technology. Its role is to simplify the route from available data and analytical models into supported Experian analytical and decisioning processes.
Experian Ascend Data Hub helps organisations discover and connect data, analytical models and services.
Experian Ascend Analytical Sandbox provides the environment in which relevant data can be analysed, models can be developed or evaluated, and evidence can be created.
Experian Ascend Data Hub makes available data and analytical models easier to discover and connect.
Experian Ascend Model Ops manages the operational lifecycle of supported models, including registration, testing, deployment, version management, monitoring and governance.
Approved data and analytical models can be connected to supported Experian PowerCurve workflows, subject to product configuration, compatibility and availability. Read more about decisioning on the Ascend Platform.