The Data-Driven Enterprise: Revolutionizing Data Sharing in the Age of Privacy

Data collection has become a fundamental part of enterprise strategy. Data storage began as databases that were manually enacted, maintained, and mapped, and eventually evolved to automated on-premise, cloud, and hybrid infrastructures as the volume of available business data exploded. But the more data a company collects, the more investment it takes to extract value with business intelligence, data analytics, and data science. Soon vendors were offering "out of the box" storage solutions to manage big data.

But while the day-to-day management of enterprise data has progressed, privacy regulations have prevented companies from truly actualizing the value of big data. More importantly, in an age where privacy is as critical as the data that's collected, enterprises are locked out from the benefits of collaborative data sharing. And not only are privacy concerns and regulations restricting the ability to collaborate on data, in many cases business confidentiality and competitive concerns slow down data collaborations too.

But imagine a world where one financial institution can share sensitive data with another financial institution, to help them save money for their customers and mitigate risks from fraud and money laundering schemes -- while still preserving privacy. Or a world where sensitive patient information across healthcare institutions can be shared with trust, ensuring none of it is ever exposed, all of the actionable data is learned, and clinical trials and drug studies can be accelerated. Where ultimately, with more meaningful data, healthcare providers can make better-educated decisions to improve patient care and health outcomes.

Duality is committed to creating that world with its privacy-preserving data collaboration platform. Learn more about how a privacy-enhanced data collaboration strategy and platform can unleash the value of your sensitive data.