After years of trial and error in which we have seen too many things that simply do not work in the real world, we have gathered some best practices and built a platform to help organizations on their data-driven path thanks to the implementation and operationalization of a 360º data & analytics governance which has to…
… adapt to the needs of the organization to deliver the value, scale and speed that digital business demands.
… be integrated into the organization, make a bridge between Business and IT and be present in the daily operations at different levels.
… be integrated into the enterprise architecture and all data processing technologies must follow data governance standards.
… be integrated in the organization’s data ecosystem, as its central axis and present throughout the data lifecycle.
… be supported by technology that offers value-added features such as flexibility, agility, interoperability, scalability, … for its operationalization.
… have platforms to implement functionalities that allow abstracting data management from processing and storage and help to break with the idea that data & analytics governance means bureaucracy.