Unstructured data is growing at an exponential rate, making unstructured data statistics a topic of great interest for the future of data. According to IDC, unstructured data will account for 80% of the data collected globally by 2025.
Data classification is the process of organizing and categorizing data into various types, forms or any other distinct class. This process is crucial for data management, data privacy, compliance adherence, and security.
It’s no surprise that cloud storage has taken the world by storm. Employees can access work documents and work from anywhere. Students and scholars can find reference material without access to the publishing institute. Individuals can store their files and access them without carrying around personal drives and memory cards. But when your data is accessible from anywhere – theoretically by anyone – security becomes the new concern.
In the digital world, data is a business’s most valuable research tool to stay competitive. It allows business owners to predict consumer behavior and make informed decisions that help their businesses operate efficiently. However, as businesses grow, managing their data can become increasingly challenging.
Data Security Posture Management (DSPM) Is a data-first protocol that accounts for the emerging complexity of securing sensitive cloud data across multiple cloud environments in recent years. DPSM focuses on Identifying where sensitive data Is stored, who has access to that data, how that data Is used, and how secure that data Is kept as a result. The resulting posture assessed for your organization’s data security can then be addressed by DSPM tools and solutions for proactive and automated protection.
What is Data Governance?
Data Governance, as defined by the Data Governance Institute, is “a system of decision rights and accountabilities for information-related processes, executed according to agreed-upon models which describe who can take what actions with what information, and when, under what circumstances, using what methods.”
What Is Data Loss Prevention?
Data Loss Prevention (DLP) solutions comprise of the tools used with the supporting DLP strategies of the organization to help prevent and mitigate data breaches and data leaks that maliciously take, destroy, or lock access to sensitive data. Since the accelerated shift to work from home because of the COVID-19 pandemic, data breaches have increased significantly in frequency as both an internal and external threat.
