Jessica Phoa’s Post

For anyone who may be interested in learning more about data scraping and the overall data privacy landscape in relation to personal and business use, feel free to take a read!

These 3 questions keep data leaders up at night: 💭 "How will changing this data source impact our reports?"  💭 "Are we fully compliant with privacy regulations?"  💭 "Why don’t our forecasts match actual results?" Data lineage is the key to unlocking clarity and control, helping teams make smarter, faster decisions by mapping data flows and dependencies. In the carousel below, discover 6 use cases where data lineage tackles these challenges head-on. #DataLineage #DataStrategy #DataTeams 

A great article by Jaklin on data privacy and big data.

I what more discussion about Helen Nissenbaum realtion to Data privacy. 👨💻

I completed with honors and perfect scoring: "Global Data Privacy Training"

In this recent article, Jaklin Guyumjyan explores the intricate relationship between data privacy and big data, highlighting the challenges and opportunities businesses face in safeguarding consumer data while harnessing the power of big data analytics: https://bit.ly/4aNBYQT The article covers: 🌐 Who owns your digital you? 👣 Who controls your digital footprint? ⚖️ Balancing privacy and freedom of expression 🔒 Safeguarding against digital threats 🔑 Current data protection laws 🌎 Data privacy on a global scale ❓Potential solutions Understanding the implications of data privacy laws and regulations is essential for businesses to build trust with consumers and comply with legal requirements. Contact us for assistance in navigating these complexities: https://bit.ly/3ztpVri #DataPrivacy #BigData #LegalInsights

Check out our in depth look at data privacy considerations and potential upcoming state changes.

SQLSatSD: Practical Solutions to Protect Data Privacy by Britton Gray In today's data-driven world, ensuring privacy is more critical than ever. Join us for an insightful session that begins with an overview of key data privacy laws and requirements. We'll explore the challenges of re-identification - even in aggregated data - and dive into three different privacy-preserving methodologies: data suppression, differential privacy (adding noise into results), and synthetic data generation. You'll learn about tools and techniques available for each method and gain insight into their strengths and weaknesses. https://buff.ly/3SnQEPx #sqlsatsd #sqlsaturday #sqlsat #sandiego #freeevent

Today's Data, Analytics, Protection & Privacy Global Government’s Digital Analytics Growth The global Big Data Analytics market is transforming... Read More: https://lnkd.in/dEqMwF-E #dataprotection #dataanalysis #bigdata

In this course, i learned about data to insight. Starting from the CRISP-DM approach, data-driven decision making, code and ethical principles in data usage, privacy and data protection, impact of data analysis on life, bias and fairness in data analysis, data usage and decision making. I got 100 points in the post test.