Data Retention & Governance

Enterprise data rarely exists in just one place. Primary data is continuously copied for backup, disaster recovery, compliance, analytics, testing, and AI initiatives. Each copy may serve an important purpose, but together these layers create what is known as the Copy Data Stack. The challenge is that every additional copy adds more than storage. It can introduce infrastructure costs, data movement, security risks, operational overhead, and additional vendor dependencies. As

Artificial intelligence is transforming the way organizations operate, helping automate processes, improve decision-making, and unlock greater value from enterprise data. As AI adoption accelerates, organizations across the public and private sectors are investing in technologies that promise greater efficiency, productivity, and innovation. However, many AI initiatives struggle before they even begin not because of the AI models themselves, but because the underlying data is

Storing data is easy. Storing it wisely is where most organizations fall apart. As organizations accumulate years of redundant, obsolete, and trivial information, storage costs climb steadily while compliance risks grow beneath the surface. The instinct to keep everything “just in case” may feel safe, but in reality it creates inefficiencies, increases risk, and inflates budgets unnecessarily. Today’s regulatory expectations, rising storage overhead, and the rapid growth of u

Artificial intelligence is reshaping how organizations handle data management, addressing complex challenges with precision and speed. As...

Businesses generate more data than ever, yet fragmented systems and data silos keep critical insights locked away. Yet, many...

This blog explores how data virtualization helps government agencies reduce costs, improve compliance, and streamline data management

Data virtualization provides a next-gen solution, offering a more efficient and cost-effective approach to data storage and management.

The CPRA raises several responsibilities that state and local agencies must meet to stay compliant, including agency data included

Handling inactive data correctly can save you both money and legal/regulatory risk What should companies do with “leaver” data once they...

Ensuring your corporate data is always available to be restored due to ransomware attacks, natural disasters, data corruption, employee...

The central premise of this blog is that inactive data is consuming vast amounts of expensive corporate resources – and many are looking...

Many organizations still utilize on-premises file shares to store, manage, and share their department documents, inactive files, and...

Processing inactive unstructured data can be a significant liability for companies when responding to FOIA or eDiscovery - Learn why.

In 2023, the vast majority of companies continue to deal with growing data stores, including data from departed employees, aging legacy...

A Data Discovery involves passively scanning your Windows file servers to classify unstructured files by age, size, type & activity level