The Komprise data management survey shows that 74% have 5PB or more of stored data and 85% of participants expect to spend ...

Data sprawl has forced organizations to invest in more data security resources, and is drastically inflating data backup ...

When it comes to managing data, we need to know where it is – but we also need to know what it is. With the rise in regulatory controls, enterprises now pay more attention to data sovereignty, ...

In today's digital landscape, organizations face an unprecedented challenge: managing and protecting ever-growing volumes of data spread across multiple environments. As someone deeply involved in ...

In an era where sensitive data is a prime target for cyberattacks and compliance violations, effective data classification is the critical first step in safeguarding information. Recognizing the ...

Most organizations still lack full visibility into where their sensitive data resides or how it’s exposed. Building that ...

In today’s fast-paced electronics design automation (EDA) environment, effective data management has become essential.

Information technology and data constitute valuable Connecticut College assets. The purpose of data classification is to identify college data and it’s sensitivity. In order to protect the security, ...

One in five insurance entities operating in Bermuda has yet to complete the classification of its data, a basic regulatory ...

The resulting statistics about data sensitivity can be utilized for regulatory compliance, policy formulation or enforcement, data protection, forensic investigation, risk management, evidence ...

Data Lifecycle Management is a concept that has been around for a while and the benefits have been mentioned in detail in every article. However, Data Lifecycle Management (DLM) has not been used to ...