top
If data is the new oil, is security the bottleneck in your pipeline?

Big value from big data: why (and how) security enables analytics at scale

October 18, 2017 10:00 am GMT

Many traditional data generating organisations, such as telcos and financial services, are expanding their use of data analytics to both save costs and increase revenues by exploring new business models. But (there’s always a but)… this requires importing sensitive information – call data records, financial records, transaction information, customer behaviour patterns, etc. – into inherently insecure systems like Hadoop.

This is creating risks to enterprises at a time when the stakes have never been higher. According to the Ponemon Institute, the average cost of a cyber breach reached $3.8 million in 2015. And GDPR is just around the corner.

Join five other senior data and analytics executives and thought leaders on this essential roundtable as we talk securing data in big data platforms and explore scalable encryption, tokenization, and industry-specific use cases for Hadoop and big data.

Discussion Points

  • Requirements for protecting sensitive data in Hadoop
  • Is security a barrier to data analytics?
  • Can security help expand data analytics for new business models?
  • Impact of the GDPR on data analytics
Moderator
Ben Thompson
Editor and Presenter at MeetTheBoss TV