No code: a major step forward for data quality, a giant leap for AI

2 min read

(April 2025)

No code: a major step forward for data quality, a giant leap for AI

The challenge of data quality in the digital transformation of organizations

Dramatic advances in AI algorithms are opening up new growth opportunities for businesses.

Every day, we are witnessing this far-reaching, AI-driven digital transformation at our customers' sites.

To boost their performance and decision-making, companies need to rely on quality data, so as not to compromise the results of predictive models.

Unfortunately, AI projects often fail to address data quality issues in a sustainable way.

The bottom line is: those who understand data don't know how to manipulate it, those who know how to manipulate it don't understand it.

No code's contribution to data reliability and the democratization of AI

In this context, the no-code approach to data reliability represents a major step forward. It offers an intuitive user experience and encourages rapid adoption, without sacrificing power or efficiency;

What's more, the power of the AI algorithms embedded in our platform breaks down technical barriers, enabling all users, whatever their profession, to use it and make it their own.

The benefits of our approach

Collaboration and empowerment: our no-code platform is designed to encourage team collaboration. It invites everyone, from data specialists to business users, to become actively involved in data improvement.
Accessibility and inclusion: we firmly believe that improving data is everybody's business, especially the business users. Our no-code solution makes this possible.
Traceability: Tale of Data automatically documents user actions, guaranteeing seamless traceability.

Automated suggestions for correction: our AI algorithms are not only used to detect anomalies, but also to provide the user with relevant suggestions for correction and transformation.
Decongesting cascading teams: the explosion in the number of use cases is increasing the number of requests made by the business to IT and Data teams. The use of a no-code platform enables business teams to be much more autonomous, and consequently Data and IT teams to be less solicited .

This approach fosters collaboration between different departments, helping to overcome the obstacles associated with team bottlenecks and promote more efficient scaling.

Conclusion

The advent of no code is shaping up to be a revolution in data management, promising a new era in which data quality becomes the backbone of high-performance artificial intelligence.

By democratizing data manipulation through platforms like Tale of Data, companies can finally engage in a collaborative and inclusive approach that fosters continuous data improvement and encourages innovation at all levels of the organization.