IAPP Webinar on GDPR Compliant BIg Data Analytics

GDPR Industry FAQs


GDPR Support For

Big Data

Read Industry FAQs from the webinar featuring French CNIL and ex-Microsoft Chief Privacy Counsel - over 600 of your colleagues registered!

Featured Topics Include:

  • “Consent” and “Required for Contract” do not support analytics, AI or ML
  • GDPR requires more than privacy by design - it mandates data protection by design and by default.
  • Data assessments and inventories alone or not enough.
  • Encryption alone does not support analytics, artificial intelligence or machine learning using personal data.
    GDPR provides 2-year “grace period” that ends May 25, 2018

Are you facing any of these 4 problems with data?

You need a solution that removes the impediments to achieving speed to insight, lawfully & ethically

to Insight
Are you unable to get desired business outcomes from your data within critical time frames? 53% of CDOs cannot achieve their desired uses of data. Are you one of them?
Lack of
Do you have trouble getting access to the third-party data that you need to maximise the value of your data assets? Are third-parties and partners you work with worried about liability, or disruption of their operations?
Inability to
Are you unable to process data due to limitations imposed by internal or external parties? Do they have concerns about your ability to control data use, sharing or combining?
Are you unable to defend the lawfulness of your current data processing activities, or data processing you have done in the past?
Traditional privacy technologies focus on protecting data by putting it in “cages,” “containers,” or limiting use to centralised processing only. This limitation is done without considering the context of what the desired data use will be, including decentralised data sharing and combining. These approaches are based on decades-old, limited-use perspectives on data protection that severely minimise the kinds of data uses that remain available after controls have been applied. On the other hand, many other new data-use technologies focus on delivering desired business outcomes without considering that roadblocks may exist, such as those noted in the four problems above.
Anonos technology allows data to be accessed and processed in line with desired business outcomes (including sharing and combining data) with full awareness of, and the ability to remove, potential roadblocks.