Modern drug discovery and clinical trials produce a volume of data that can quickly overwhelm local storage and bandwidth capacity. Sequencing data, scanned source files, biostatistical (SAS, R, SPSS) databases, and DICOM imaging are all hard to store and collaborate on, especially with a distributed workforce. Egnyte’s platform has been facilitating secure sharing of files for over a decade, accelerating the ability to collaborate without sacrificing security.

Organizations in the life sciences industry need to maintain regulated data in compliance with a number of global data privacy laws. Ideally, compliance is automatically ensured, and data is easily categorized. But we all know that this is not always the case in a decentralized, dynamic environment. So, how are the leading biotechs efficiently and securely managing collaboration and data?

Egnyte is excited to announce the ability for our customers to build custom apps for their domains. Now our customers can create apps with tailored actions and workflows that can help increase efficiencies and boost productivity. Create your own Application that uses Egnyte’s public API, giving you a full set of enterprise features while helping with compliance of industry standards like HIPAA and FINRA to ensure you are enterprise-ready on day one.

Life science companies must implement quality processes into procedures in order to meet regulatory requirements and endpoint validation. But the implementation of quality processes is not an easy task. Managing the process of gathering feedback and gaining approval can be slow and comlex. In today's video, we will show how to handle Standard Operating Procedures or SOPs on the Egnyte platform and how to enable Part 11-compliant workflows for the review and approval process.

For over a year the future has lacked clarity. As parts of the world start to open up and the life sciences industry ramps back up to pre-pandemic activity, the fog of uncertainty is starting to lift. We are seeing an acceleration of digital transformation across the Life Sciences industry with the adoption of decentralized trials, real world evidence, and remote monitoring.

Good data governance can go a long way toward reducing business risk. If your content and your data are secure, you’ve eliminated danger to your customers’ information and secured your proprietary information. From a digital perspective, you’re ahead of the game. But data governance shouldn’t be your only concern.

Businesses sit on massive, ever-growing piles of data. According to Dave Reinsel, senior vice president, IDC's Global DataSphere, 64.2 zettabytes (ZB) of data was created or replicated in 2020. And the amount of digital data created over the next five years will be greater than twice the amount of data created since the advent of digital storage. But data isn’t just growing, it is spreading to more applications, more users, and more devices than ever.

90% of companies are on the cloud (Galov). That includes industries historically slow to adopt new technology, like Architecture, Engineering and Construction (AEC). However, recent economic and workplace disruptions have pushed AEC firms more aggressively into the public cloud waters - looking for cost effective ways to access compute power, more efficiently process data, provide access to files and applications, and tap into advanced analytics to draw insights from and manage data.

The sheer number of parties involved in a clinical trial results in increased complexity. The ability to tame this complexity is what separates high-growth biotechs from the rest. In order to keep up with the pace of innovation organizations must improve efficiencies while adhering to regulatory requirements, all in a drive to maintain consistent data quality.

If you’re like most companies, your teams rely on a variety of cloud apps and storage solutions to get work done and collaborate with internal and external teams. While this flexibility is great for end users, it creates enormous complexity when it comes to data security and governance. IT teams must juggle multiple administrative dashboards, permissions configurations and access control policies across apps.