Publish

A writer’s window to the world of content creation. Flexible interfaces designed to optimize editorial workflow.

    • Extendable custom fields
    • Manage documents across multiple APIs
    • Intuitive in-browser editor with the simple drag and drop tool
    • Background tasks to manage big-data operations, analytics and much more

More features

What is Publish?

DADI Publish is developed to optimize editorial workflow with flexible interfaces that adapt to your requirements, meaning more time can be spent making content than wasting time managing it. It is built to support the principles of COPE (Create Once Publish Everywhere).

Journalists and editors can seamlessly manage output across multiple products from one place, while engineers can make light work of even complex content collections. Publish currently works with DADI API but our development roadmap will soon allow use with a variety of data stores.

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DADI uses Publish to power this site.

Full features

Centralized media management

Power a suite of digital products from a single content store. Saves time and effort for engineers and editors alike.

Article publish scheduling

Pre-load content for automatic publishing at a time that suits the content, not your working day. Also create drafts for internal review.

Setup and connect in 30 seconds

The perfect partner for DADI API so you are up and running in days and weeks not weeks and months. Soon to work with other data stores.

Custom user permissions

Enhanced features for large teams – keeping the right hands on the right parts of the system. Extends to support editorial workflow.

Collaborative document editing

See where colleagues are in shared articles and avoid treading on toes – work together seamlessly to update content.

Revision history with quick revert

Provides a complete audit trail allowing you to restore to any point in time. Document differentials provide an overview of changes.

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All web services

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store

A cloud storage solution for all types of data, with built-in security, privacy and redundancy.

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track

Real-time, streaming data layer providing accurate metrics at individual and product level. Drives DADI Identity.

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visualize

A data visualization interface for Identity and Track, but capable of taking data feeds from virtually any source.

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identity

Guarantees uniqueness of individuals – and powers segmentation – for anonymous and known users.

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match

Taxonomic framework for automated content classification through machine learning. Plugs into Publish.

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predict

A machine learning layer that predicts user behaviour at an individual level based on past interactions.