Data Management

Introduction We are witnessing a revolution in pharmaceutical and life sciences data management. Every company is angling to include generative artificial intelligence in their workflow. ...

Regardless of the industry, mergers and acquisitions (M&A) are highly competitive and give rise to multiple changes for the companies involved. One of the most challenging aspects for ...

Introduction The life sciences industry is at the forefront of generating an unprecedented volume and diversity of data, leading the data landscape to rapidly expand from genomics and ...

Real-world data (RWD) refers to points of health information collected from patients in their usual care setting rather than randomized controlled trials (RCTs). RWD comes from sources such ...

Intro Accuracy is key when it comes to orthopedic surgery. Even slight missteps, such as improperly placed implants or minor soft tissue damage, can require correction or prolong recovery, ...

Introduction Master Data Management (MDM) is a data management discipline wherein core business dimensions are maintained and governed by people (the data governance organization) and ...

Introduction Whether talking about investments, math, sports, or anything else of consequence, getting the fundamentals right is important. It helps you develop good habits, establishes ...

Right now, life sciences companies have a pressing need: a flexible and high-performance data processing and analysis system that can handle diverse data applications such as SQL analytics, ...

The animal health industry is expanding at a combined annual growth rate (CAGR) of 6.3% per year, and global sales are now projected to be $67.56 BN by the end of 2026.1 This growth lends ...