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Content Management

The Age of Digital Collaboration: Best Practices for Comparing Documents Online

The Digital Age has brought with it a plethora of changes, particularly in the ways we work and collaborate. With businesses transitioning online and remote work becoming the new normal, the necessity for advanced digital tools has never been more evident. One such tool, often overlooked but indispensable, is the facility to compare documents online.

Discover the Pharmaverse: A New Frontier for Clinical Trial Analytics

Imagine an intricate multiverse where each world holds endless possibilities. Now picture that same concept but for pharmaceutical research. Welcome to the Pharmaverse! Similar to the complex world of the multiverse, the Pharmaverse contains various solutions to explore, and each solution can be customized based on your data analysis needs. We first learned of the “Pharmaverse” during Mike Stackhouse’s session at the Egnyte for Life Sciences Virtual Summit. ‍

Eliminate Information Gaps Between Teams with Procore and Egnyte

Easy and effective collaboration is a critical success factor for today's fast-paced construction projects. However, with multiple stakeholders deployed across various cloud platforms, document versions, and unreliable job site connectivity, finding and sharing project information can be challenging.

Enhance Productivity with Egnyte for Microsoft Teams Integration

Microsoft Teams is the world’s most popular collaboration tool - used by over 300 million users globally. Its popularity stems from its breadth of collaboration capabilities, including instant chat, conversational channels, online meetings, and video calls. However, the sheer volume of content generated by these collaboration workflows can quickly lead to content management challenges.

Effective Access and Collaboration on Large Lab Datasets using Egnyte's Smart Cache

The life sciences industry is at the forefront of data-intensive research and innovation. Scientists and researchers rely heavily on the collection, processing, and analysis of vast amounts of data generated by lab instruments. And they are often challenged by errors or confusion in managing data flows that in turn, have a direct impact on the quality of data and corresponding compliance with regulatory requirements.