Every organization, regardless of size or industry, needs a data loss prevention (DLP) plan. This includes all of the strategic tools and processes that will help a business avoid having their data ...

E-discovery has become a critical aspect of the legal landscape, and organizations rely heavily on effective data management strategies to navigate the complex process of identifying, collecting, and ...

Mark Rochester is the principal product architect at BitTitan, where he works closely with the product management, sales and marketing teams to build market-leading products and features that address ...

Explore the best practices to improve data quality and maximize the value of your data assets. Data quality, the condition of an organization’s data in terms of consistency, accuracy, reliability, and ...

The data management discipline known as data integration (DI) has undergone an impressive expansion over the last decade. Today it has reached a critical mass of multiple techniques used in diverse ...

Many businesses are turning to data center as a service providers to efficiently store and process their critical data. However, with this transition comes a new set of security considerations, and ...

“The information gleaned from the [privacy due diligence] process may result in a change in plans as to the level of operational integration that the acquirer may ...

To gain success from a data-driven culture, the data you’re working with must be clean, making data hygiene an important part of gaining actionable insights. Data is an absolute necessity in today’s ...

Overview: Data breaches can lead to misuse of information and lead to financial scams, identity theft, and damaged reputation. Preventing data breaches dep ...

Best practices for AI data center projects vary based on community needs and location, but experts agree more of one thing can help to support a successful build: transparency. “The AI revolution ...

While the adoption of hybrid cloud environments continues to rise – offering companies a "best of both worlds" option to gaining scalability while maintaining control over business-critical ...

The adoption of machine learning in the enterprise continues to grow as businesses—hungry for automation and intelligence—strive for greater efficiency, agility, and innovation through the digital ...