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More Data Isn’t the Problem – It’s Less Security

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insideBIGDATA - by Daniel Gutierrez

More Data Isn’t the Problem – It’s Less Security

Welcome to insideBIGDATA’s “Heard on the Street” round-up column! In this regular feature, we highlight thought-leadership commentaries from members of the big data ecosystem. Each edition covers the trends of the day with compelling perspectives that can provide important insights to give you a competitive advantage in the marketplace. We invite submissions with a focus on our favored technology topics areas: big data, data science, machine learning, AI and deep learning. Enjoy!

“As demand for raw data to drive analytics is higher than ever before, businesses must protect the privacy of their customers and partners. Although data is foundational for companies to grow and optimize processes, failure to safeguard this vital information could result in hefty penalties from government regulators, not to mention the loss of customers, revenue and reputation. This phenomenon, which describes the need for more data while maintaining data security, is a key challenge to unlocking the value. Various tools such as tokenization, anonymization and synthetic data can make data more secure. However, creating a robust data governance strategy is often the best way for businesses to understand and defend their data. Today, there is growing investment in data governance, which will only increase as data privacy and security become ever-more critical.” 
Commentary by Val Tsitlik, VP, Head of Big Data Practice and VP of Technology Solutions at EPAM Systems, Inc.

Read the full article here.

Learn more about EPAM’s Data & Analytics Practice here.