GDPR is turning out to be one of the biggest disruptive forces to impact data security in business models across industries. Most businesses today are struggling to fathom the GDPR “trust schism”: the divide between the personalized experience that companies strive to deliver on the one side with their GDPR obligations which call for increased scrutiny and focus on data security and privacy of their customer’s personal data. Bridging this divide requires enterprises to build privacy into all of their data operations in the rapidly shifting data privacy landscape. In this talk, we will outline how the open source big data technology ecosystem can help enterprises turn the burden of compliance into business value. We will highlight how Accenture and Hortonworks are joining forces to harness open source technologies from Hadoop ecosystem to provide a robust solution to assess and remediate GDPR noncompliance risks and operationalize a compliance strategy. Using this approach customers can harness Accenture’s subject matter expertise with Hortonworks’ open source data management leadership with distributed discovery and automation of various aspects of GDPR compliance such as consent management, data subject rights management, and data inventory. The solution approach we will outline can help enterprises understand and minimize the personal data they hold across their data platforms, extract meaningful relationships between them, better organize the storage, and refine the data management processes across the data supply chain. Ultimately, enterprises can use the blueprint towards building a business culture where the respect and security of the data of people who entrust their sensitive information to them is paramount. This mindset of trust can give enterprises the competitive differentiation they need to turn GDPR compliance into profits.