Analytics

Personally identifiable information (PII) is some of the most valuable data that organizations can have. It's also some of the most dangerous if you don't follow data security best practices. If you don't treat this data with care, you could end up in the headlines as the victim of the latest data breach, costing you money and damaging your reputation. Of course, you should never leave PII data unprotected. So what is the best way to protect the confidential and sensitive PII that you handle?

In the first of this two-part episode of Data+AI Battlescars, Sandeep Uttamchandani, Unravel Data’s CDO, speaks with Kapil Surlaker, VP of Engineering and Head of Data at LinkedIn. In this first part, they cover LinkedIn’s challenges related to Metadata Management and Data Access APIs. Part 2 will dive deep into data quality.

Data cleansing is a fundamental aspect of knowing what data you retain and using it most effectively. The process of cleansing reduces the potential for error and enhances data reliability. Here's how to get started.

Build a comprehensive picture of how customers interact with your company.

In this episode of Data+AI Battlescars (formerly CDO Battlescars), Sandeep Uttamchandani talks to Chu-Cheng, CDO at Etsy. This episode focuses on Chu-Cheng’s battlescars related to recruiting and building a data science team. Chu-Cheng leads the global data organization at Etsy. He’s responsible for data science, AI innovation, machine learning and data infrastructure. Prior to Etsy, Chu-Cheng has led various data roles, including at Amazon, Intuit, Rakuten and eBay.

News of the latest massive data breach is always in the headlines. How can you avoid being next on the list? In order to function, businesses of all sizes and industries need to collect personally identifiable information (PII) about their employees and customers—but they also need to take proactive steps to keep this information secure and defend against PII breaches. PII substitution is an effective tactic to shield your sensitive and confidential data from prying eyes.

The pandemic upended business for many or at the very least cast a grim shade of uncertainty, so, as many took to working from home, they also were commissioned with cutting waste. Among the biggest sources of misspend in 2020 – cloud services. And remote work may have actually spurred the problem, as organizations migrate more applications to the cloud to support these workers.