The data mesh paradigm is transforming enterprise data management, overcoming the limitations of data warehouses and data lakes. This approach is based on innovative principles such as domain-oriented data management, the “data as a product” approach, and federated governance. Ideal for complex and dynamic organizations, this solution offers scalability, flexibility and enhanced data quality.
From an entrepreneurial vision to a successful digital transformation: watch the video chronicling the SAP S/4HANA cloud implementation project carried out by ORI Martin together with Regesta and Clarex.
Here are the best pictures from the tournament we organized together with Strafatti di Volleyball on June 21 at Regesta Beach Village in Cellatica.
Regesta promises to create a positive work environment where people can grow, be inspired and succeed.
Information systems migration is a complex challenge that many companies face only when it becomes unavoidable. However, when the limitations of current systems are no longer tolerable, it is necessary to ensure an effective and secure technology upgrade. Choosing different strategies and adapting them to changes in technology will optimize benefits, contain costs, and address the challenges of a successful migration.
The Brescia Newspaper reports on Clean Up Day, the clean-up activity in our neighborhood carried out by the Regesta People together with the 5R Zero Waste Association.
In our webinar on May 28, 2024, our experts told how to bring your digital document repository up to standard and gain benefits from it.
At Regesta, corporate welfare has always been a priority [...]
The presence of Nicola Segnali on the board of directors of the Digital sector of Confindustria Brescia underscores Regesta LAB's role in the digitization of companies.
Data permeability is increasingly becoming a strategic necessity: integration between ERP and MES systems can transform the operational landscape of manufacturing companies. Let's find out how this integration can be done while keeping the defining elements of manufacturing intact, through a series of best practices. In this way, the company can approach data-driven logic with the right balance, while keeping its specificities intact.
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