Data Classification, Discovery, and Security

The Apption Data Podcast - Episode 4

Welcome to another episode of the Apption Data Podcast, this episode is from the vault! We discussed the critical aspects of data discovery ,classification, and security with Matthew McCormick, former consultant with Apption.

Matthew brings over 25 years of experience in software, primarily focusing on data classification, data discovery, and data security. Matthew spent time as a consultant with Apption, contributing his insights and experience to our team and to Datahunter. He is currently the Vice President of Product management at Superna.

Data Discovery & Data Classification

So, what exactly is data discovery and classification? Matthew breaks it down for us: It's the process of identifying and categorizing data based on its content, structure, and context. Essentially, it's about understanding what data you have, where it's located, and who can access it.

Why is this important? Well, for starters, it helps organizations better protect their sensitive data and comply with regulations such as privacy laws. Moreover, it enables informed decision-making, driving business value and efficiency.

Implementing data discovery and classification isn't a simple task. It requires careful consideration of the broader data governance framework, including policies, processes, and tools. Organizations need to choose the right technology that aligns with their unique data operations (dataops) needs and requirements.

But where do you start? Matthew advises taking a proactive approach. Waiting for incidents like data breaches or audits isn't ideal. Instead, organizations should take that critical first step towards discovery and classification. This kickstarts the journey towards effective data governance, laying the foundation for future success.

Matthew shares insightful anecdotes from his experiences, highlighting the importance of timely action and effective implementation. Whether it's assisting an energy provider under audit or collaborating with NATO on standardized classifications, the value of data discovery and classification cannot be overstated.

So, what's next after implementation? Matthew emphasizes the iterative nature of this process. Continuously refining data management practices ensures ongoing benefits, including improved data security, better decision-making, and compliance.

In conclusion, data discovery and classification are not just buzzwords; they're essential components of modern data management strategies. With the right approach and tools, organizations can unlock the full potential of their data, driving innovation and growth.

We extend our gratitude to Matthew for sharing his invaluable insights, and we hope you found this discussion enlightening. Stay tuned for more, where we explore the ever-evolving landscape of data and AI. Listen to Episode 4 of the Apption Data Podcast - Data Classification, Discovery, and Security here or on Spotify to hear more from Matthew about why managing and securing your data should be at the top of your organization's priorities list.