Dynatrace’s Post

If you didn't get a chance to attend last week's chapter meeting or would like to see the presentation again, the chapter has started posting presentations to our YouTube page. Check out the Evolution of Data Protection with Brian Hileman at https://lnkd.in/gu4ywaBV

Continuing the theme of Synthetic Data for the week, I wanted to poke at the idea of evaluating Data Quality of Synthetic data. For data practitioners, a business stakeholder is excited and finds a synthetic data supplier and wants to use them. How do you determine that the supplier is appropriate for your organization? When I evaluate synthetic data services, I look for Data Quality (e.g., fidelity, utility, privacy). IMHO, Utility is the most difficult to determine, so I thought to add some resources. A few links for the technically inclined on Evaluating Synthetic Data through the lens of Utility. https://lnkd.in/eMV_j85s https://lnkd.in/e_m8FNPb https://lnkd.in/ej2zqvMx Want to read my post for Marketers related to this topic? (I talk about fidelity in that post.) https://lnkd.in/eND8igpy Thoughts on the above? Want to chat? https://lnkd.in/gWQ5v_Mh #TechnicalTuesdays #SyntheticData #DataQuality #ResearchPapers #3StandardDeviations

I’m happy to share our latest article that explores the implications of the recent bulk sensitive data executive order, shedding light on its significance in the realm of data protection and beyond. https://lnkd.in/gq-Xr333

Our Privacy Preview tool allows unprecedented flexibility for understanding the potential and limitations of datasets when you're planning to buy or combine sensitive data. By simply uploading your data dictionary into the tool, you can understand: - Which data combinations offer the most valuable insights - How many attributes have privacy concerns - Whether or not the dataset is a candidate for expert determination The best part? It’s 100% free. Head to https://hubs.li/Q02w9hk90, upload your data dictionary, and you’ll receive your privacy preview, like the one shown here, in about a business day. #DataPrivacy #ExpertDetermination #PrivacyPreview

Getting your data? Sending someone their data? I sometimes help people in my volunteer work to secure their personal data OR help clients to respond properly within deadlines. Anyone who does this will find the new checklist/guide from DPN Associates invaluable. Their guide aims to take you through the key steps to consider, such as… Being prepared Retrieving the personal data Balancing complex requests Applying redactions & exemptions How technology can help And you can sign up for their great free newsletters! https://lnkd.in/er7TKd7C

This week we delved into the topic of "The Digital Personal Data Protection Act, 2023" with Chirag Parmar where we covered: -What is DPDPA-23? -How it affects the way businesses and marketers function? -Why you need to take this Act seriously? Read more here: https://bit.ly/3MnvHRM

"Data is useful only when it is protected and its context, content, and quality can be trusted." What happens when you can't trust one of these aspects. For instance, what if you can trust the context and content, but not the quality?

Last chance to register! I'm hosting a webinar today, at 12pm, with Trust Keith • The DPO-aaS for Scale-Ups. Join us there to find out all about: - The UK's (maybe, probably, possibly) upcoming data protection law: the DPDI Bill - AI (because it's 2024 so obviously I just had to) - The ICO's 'enforcement' strategy for 2024 *cough* - International Transfers in 2024 - Schrems III Return of the Jedi? - The patchwork and ever joyous US Privacy Landscape keeping thousands of lawyers well paid and overbooked. Or was it well booked and overpaid? I forget. Register here to attend: https://shorturl.at/abdlx

In our blog, we answer some of the questions you might have about data destruction. Check it out! https://loom.ly/O_Q-Nh4

Finally ! NOw to educate people on the importance of Data Protection .