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Product Launch April 27, 2026

Datamation Launched Why DataShare?

Datamation Launched Why DataShare?
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Datamation announces the launch of Why DataShare? — helping businesses on their journey towards the post-silos world.

DataShare is a standards-based data sharing platform that enables businesses to seamlessly share data internally between divisions and sites as well as with external stakeholders including customers, partners, contractors, suppliers, regulators, and more.

At Datamation we view data as the business's most valuable asset. The more it is reused, the more value it will generate for the business. Conversely, any barrier to its use represents an added cost and potential risk of failure.

DataShare unlocks the data assets' value that silos (disjointed systems) destroy. By ensuring that data is made fit-for-purpose at source, we ensure that it needs no fixing at point of use. Fixing data at source does away with the need for high-maintenance and error-prone interoperability processes.

This we do by managing data as complete, consistent and up-to-date sets independently of how, where, and for what purpose it is used — delivered to those authorised to use it in the form that enables them to carry out their respective tasks seamlessly, safely and effectively.

What is more, data created today, using today's technology and best practice, will still be readily usable at any time in the future, when technology and best practice would have changed beyond recognition.

Introducing the DataShare family of products:

Why DataShare?

Showcases how DataShare helps businesses turn their existing siloed infrastructure into a Shared Data Environment in steps that can be implemented with minimum disruption to day-to-day operations.

DataShare for Collaborative Research

Showcases what a post-silos world would look like. It enables businesses to share trusted, structured and machine-readable data seamlessly without the need for any processing.

DataShare for Data as Content

Enables trusted, structured datasets and machine-readable data to be packaged as 'Content' that can be marketed as products in their own right.

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