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President of Mastercard Advisors, Dimitrios Dosis, discusses the importance of powering data-driven innovation with a privacy-first mindset and how its partnership with Trūata makes this possible.
In today’s business world, data is more valuable than ever before. But it is also more vulnerable than ever before.
Accelerating the speed to insight across an organization is critical for business growth and informed decision-making. In this session, we will look at how to operationalize your data in a privacy-compliant way and the importance of data agility.
Grappling with all the nuances of GDPR has been challenging for many SMEs since they often lack the resources, knowledge or confidence to ensure proper data compliance. So, what’s the solution?
Building on our women in tech series from last year, we invited two members of our board of directors, alongside our Board Observer, to share insights on workplace challenges and collective efforts to drive change.
Is data anonymization nothing more than a simple game of Guess Who? The answer is no. But by the way that some are claiming to ‘anonymize’ data, you’d certainly think so…
To mark Data Privacy Day 2022, we’ve collated 28 data privacy stats from the most recent reports to provide you with insights and trends that are feeding into business strategies
Geolocation analytics is one of the most powerful tools an organization can use to inform business decisions and improve profitability. But does that come at the expense of privacy?
An expert panel discusses next-gen technologies and looks at how they can provide the automation and assurances required to assess and mitigate risks in the cloud to enable businesses to operationalize privacy compliant data at speed and at scale.
With data protection regulations continuing to evolve and impose new requirements on businesses, adopting a scalable and agile mindset towards privacy risk management is key to gaining a competitive advantage.
If carried out effectively, personal data can be both protected and leveraged to preserve the goals of revenue-generating strategies. Learn more about mitigating privacy risks at speed and at scale.
Practical steps for operationalizing privacy-compliant data flows at speed and at scale without needing to invest more in manpower or pay big bucks for big data governance platforms.
Privacy engineering is not only becoming integral to data-driven businesses because of regulatory demands and hyper-automation strategies, it is also a discipline that leads to enhanced products, increased consumer trust and bottom-line growth.
As companies store more and more sensitive data in larger amounts over longer periods of time, they are under ever increasing pressure to be transparent about what data they collect, how they consume it, and why they need to retain it.