How To Build A Sustainable Data Minimization Strategy

Presented by

Anju Jain from BigID along with Brijesh Prabhakar and Ritu Khanna from LTI

About this talk

With data becoming the new currency, the natural tendency has been to accumulate vast amounts of consumer data by one and all. This proliferation has made it possible to multiply the use cases of data and bring speed to converting from hypothesis to predictions and forecasting. Excitement for the prospect of being able to grow and create new demand purely based on data, has fueled even further hunger for data. And the world slipped smoothly into a circle of more data, more possibilities, more data, more possibilities…. But the other side of this data strategy is fraught with risks of poor accuracy, compromises in integrity and breach of sensitive consumer information. And, privacy regulations like the EU GDPR and others across the globe emphasize that enterprises collect only what they need under the principle of data minimization. Do you know the degree to which consumer data held in your organization is stale, incorrect and unused? Are you holding multiple duplicates of the same files and data? This can lead to increase in threat surface area, poor data process output, longer and inadequate response to privacy requests, not to mention storage costs for data that should not be in the system in the first place! Addressing privacy regulations can now also serve as a response strategy to these risks. In this interactive session, we will discuss  The different contexts in which data minimization can be applied  Realignment of business processes to embed minimization as a design principle  Best practices on data minimization techniques  Business case studies on benefits of data minimization realized across industry *BigID has partnered with LTI to bring you this webinar. Your registration information will be shared with LTI. Please go to LTI’s Privacy Policy for more details

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BigID aims to transform how enterprises protect and manage the privacy of personal data. Organizations are facing record breaches of personal information and proliferating global privacy regulations like the EU GDPR with fines reaching 4% of annual revenue. Today enterprises lack dedicated purpose built technology to help them track and govern their customer data at scale. By bringing data science to data privacy, BigID aims to give enterprises the software to safeguard and steward the most important asset organizations manage: their customer data. BigID has offices in the US and Israel and is founded by security industry veterans spanning the identity, data security, big data and governance markets.