Over a year into the COVID-19 pandemic, businesses that were already beginning their digital transformation have sped up their efforts even more. Companies have been forced to increase spending on digital transformation in order to cope with a myriad of pandemic-related challenges.
Today, having a strong data governance program is critical for many reasons: understanding and minimizing risk to sensitive data, maintaining security and trust, avoiding compliance fines, and empowering knowledge workers to be more effective at their jobs. The trouble is, if you don’t manage scope properly, and instead try to eat the proverbial data governance elephant all in one bite, you are setting yourself up for trouble.
The latest survey data on electronic trial master file (eTMF) usage is from 2018 and puts adoption at 75%. It is no mystery why eTMFs are so popular, they make it easier to track progress, provide more control over a “single source of truth”, and enable better/faster data sharing options than a paper-based process. Digitization is listed as one of the top investments by biotech companies after the pandemic interrupted most in-person study activities.
By the end of 2020, Microsoft 365 was used by more than one million companies worldwide. And for good reason. With the move to remote work, applications like Word and Excel, Teams, OneDrive and SharePoint, provided businesses with a familiar, easy to access, and easy to use productivity suite – all available in the cloud.
The COVID-19 pandemic pushed more employees to work from home than ever before. While this shift has many advantages—including reduced office space costs and more geographic flexibility—it also leads workers to access data from a variety of entry points.
Microsoft 365, as a service, contains many features that focus on security. Each service uses Azure Active Directory for authentication and authorization to access either the app itself or the content that resides within it. Organization-specific security controls and procedures should augment all out-of-the-box configurations.
As the pharmaceutical industry seeks to improve health outcomes globally, a critical area of investment is increasing participant diversity. We know that gender, age, and race have profound effects on the way pharmaceuticals are metabolized. That is why the FDA has been encouraging diversity in clinical trials for years, although without mandate nor incentive. The burden has largely fallen on industry groups to work out the how.
The Egnyte platform has been extended to support the classification of documents per business document type. It enables the Egnyte governance solution to assign documents to business document types, including invoices, contracts, NDAs, or financial statements. From a machine learning / AI perspective, it’s a natural language processing (NLP) problem—a classification task. The input is the raw text form of the document, and the output is the name of the class to which it belongs.
Did you know that 52 percent of all rework globally is caused by poor data and communication?1 In the construction industry, coordination between the office, subcontractors, partners, and multiple jobsites has always been a challenge. And with increasingly large files stemming from BIM, drone footage, and VR/AR applications, it is becoming more difficult to ensure everyone is in sync. Throw in COVID-19 and you have the perfect storm to significantly disrupt the pace of growth.
Life sciences teams are more decentralized than ever, yet the need for speed persists. Even before the pandemic, the ability to bring together quality, clinical, and regulatory personnel to hit project timelines is what separated successful projects from those that languished. The pandemic added another barrier to an already complex venture.
