Fusion Paradox download the new for windows

To unlock the value of our data, we must solve this paradox. This presents a paradox: data that is permitted to be freely shareable across the enterprise has the potential to add tremendous value for stakeholders, but the more freely shareable the data is, the greater the possible risk to the organization. Controls help to mitigate such risks, so organizations that have strong controls around their data are exposed to less risk than those that don’t. Organizations that are good at sharing data internally as legally permissible can realize more value from their data resources than organizations that aren’t.īut like any resource, data risks must be managed, particularly in regulated industries. You can use the same data in many places, and the more combinations of data an organization creates-such as between reference data and data from business processes across the enterprise-the more value you can extract via enterprise-wide visibility, real-time analytics, and more accurate AI and machine learning (ML) predictions. Unlike most resources, data doesn’t diminish in value as it’s used.

Data has value to the individual business process that produces it, but data’s additional potential can be realized when it’s shared and combined with other data assets. Most modern organizations recognize that their data benefits their entire enterprise. This is a joint blog post co-authored with Anu Jain, Graham Person, and Paul Conroy from JP Morgan Chase. May 2022: This post was reviewed for accuracy.

Fusion Paradox download the new for windows