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The most agile businesses are built on Data Automation

Data automation significantly accelerates time-to-value. The time it takes to build new controls is significantly shorter under the no-code model, and data gets into the platform faster thanks to flexible, AI-powered extraction and validation

The data-driven operating model this enables is one where proactive data quality controls ensure that data issues are fixed at source. This avoids intensive work around exceptions management later on: no more waiting around to find out what’s broken before you can react to market or business changes.

Take regulatory change as an example. As settlement windows across the world continue to shrink, firms have less and less time to conduct the necessary checks and activities needed to affirm, confirm and settle trades. Waiting around overnight for your data quality checks to flag any errors simply isn’t an option anymore.

Firms with automated data quality controls that can flag issues in real time can respond much faster to more stringent regulatory requirements.

Agile change in action

A good example of business agility was when a cyber attack on a derivatives infrastructure provider left many institutions unable to reconcile their trades. Many firms desperately turned to more spreadsheets during the two-week service outage. But some Duco customers used the platform to quickly spin up new controls in just a few hours.

While others were left in the dark, they had total oversight.

Or consider acquiring a new business or launching a new investment fund, both of which can have a significant operational impact. New controls need to be deployed and systems integrated. The speed and self-service nature of a data automation platform cuts the time it takes to put all this in place. By empowering business users with no-code functionality, you’ve removed the dependency on IT for change.

There’s no need for business requirements documents and waiting in the technology pipeline for developer support for every single change you need to make.



Operational efficiency

A data automation platform solves the core issue slowing operations functions down: a lack of trust in data. It does this by bringing all mission-critical data together in one place so you can standardise and consolidate processes across the business.


Cost savings

Data automation enables you to remove the legacy technology cost burdening your operations. As a result, those huge Operations teams are freed from low-value manual work and able to make a real impact.


Governance, control and compliance

Standardising your processes, consolidating systems and removing all the manual work around data unlocks transparency across the front-to-back lifecycle of your data.