What is the significance of data sharing in enterprises, and how does it assist them in achieving their goals?

Data sharing within enterprises is critical for enhancing decision-making, fostering cross-department collaboration, and boosting operational efficience, reducing costs and eliminating data silos. It also enables personalized customer experiences and ensures compliance with regulations like GDPR. However, it requires robust governance, strong security measures, and a data-driven organizational culture to unlock its full potential. Companies that master data sharing gain agility and a competitive edge in the market.

Data sharing in enterprise can have different meaning. 
It depends on the context and with whom we are sharing the data. Also, what data we are sharing. Some of the data is confidential and should not be shared under different policies. 
For example, GDPR compliance don't allow data sharing across EU so enterprise can't sharing data stored for EU citizens outside EU even internally with their teams for analytics or any purpose. 

However, If we look this from a different prospective by following all complaince data sharing in enterprises enables seamless collaboration across teams, departments, and even external partners. It helps break down data silos, leading to better decision-making and innovation. By accessing real-time, consistent information, enterprises can improve operational efficiency, personalize customer experiences, and accelerate time-to-market. Secure and governed data sharing also supports compliance and builds trust. Ultimately, it aligns teams toward common goals through shared insights.