Data Usage

Innovate and enhance
data usage

Improve customer experience, anticipate needs, automate low-value tasks, make decisions faster and more reliable...
Today, all these levers depend on better use of your data.
At Synotis, we help you make your data speak, give it meaning, and unlock its full potential through concrete and innovative use cases.

Data Science and
Artificial Intelligence

Artificial intelligence no longer belongs to the future — it is now a powerful tool serving business performance: predictions, recommendations, anomaly detection, intelligent automation...

At Synotis, data science and AI are grounded in the realities of your business. Our experts design custom models based on your use cases and your data.

AI

Data Quality

At Synotis, we consider data quality management to be essential. Since the ultimate goal is for users to actually use the data, its reliability is absolutely critical. Often overestimated by organizations, it’s important to quickly raise awareness of the true level of data quality and to propose a pragmatic action plan.

Taking data quality into account from the very start of your data projects helps you avoid challenges during implementation—challenges that typically lead to extended timelines and inflated budgets.

Data Quality

Data Catalog

Thanks to our experience, we know that data catalogs can play a key role in implementing effective data governance. By providing a centralized, well-documented view of the data ecosystem, they help optimize data flow management, strengthen collaboration between technical and business teams, and ensure information consistency.

With a shared data dictionary and improved traceability (data lineage), organizations gain greater control and agility—fostering a sustainable and high-performing data culture.

Data Catalog
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