CloverDX a.s.

Contact person

David Pavlis - david.pavlis@cloverdx.com

Basic company information

Information Technology

Design, automate, operate, and publish your data pipelines in one all-encompassing platform. CloverDX automates mundane data jobs, boosts the productivity of your teams, and gives your data an added layer of trust.

Basic information about the product/solution

CloverDX Data Integration Suite
Czech FinTech Solutions
Czech e-Health Solutions
Czech e-Government Solutions
Czech Digital eCommerce and eShop Solutions
Australia and Oceania
North America
Western Europe

Key principles of CloverDX Data Integration Suite: *One home for your data Using disparate platforms can lead to data quality and process issues. CloverDX is all you need. The integrated platform allows you to keep a closer eye on your data efforts, ensure high quality, and limit rogue data practices. From a commercial perspective, it also simplifies scalability and cost predictability. *Automation-first to streamline data operations Do your IT teams frequently handle repetitive data jobs? Consider error handling or file migrations; both of these processes are important, but they eat up time. Automation is key to streamlining and improving your data operations. CloverDX’s automated features save you time, mitigate stress, and guarantee better data quality and trust. *Designed to boost productivity Data is the key to unlocking useful insights and boosting your organization’s competitiveness. So, the faster you can work with it, the better. CloverDX is intuitive and extensive. The platform provides a highly visual design alongside robust coding features and assists. This empowers your team to code complex data solutions simply and at speed. *Make data accessible to everyone Improve data collaboration between your business users and IT teams with the CloverDX Data Catalog and Wrangler features. Give your business users access to high-quality data in a secure environment that’s controlled, curated, and maintained by your IT teams. Here, they can explore datasets, conduct basic transforms on their own, and build repeatable workflows to save time and effort.

More information
Service