Decoupling data inputs from their isolated sources continues to be challenging for organizations. Data silos not only hinder organizational collaboration and decision making but also undermine an organization’s ability to unlock the potential of its most precious resource—its data. Advancements like cloud computing, platforms, and blockchain are giving most organizations the tools to transition away from… Read More
Depending on how long you have been working in the lab informatics industry, you may have noticed that the list of acronyms feels almost endless. Since this blog was first written more than 10 years ago, that list of acronyms has only grown. This blog post updates the original list to provide insight into an… Read More
The buzz surrounding cloud computing for informatics applications continues. Everyone is aware of the many advantages and benefits offered by cloud computing (software, infrastructure, or platform as a service—SaaS, IaaS, PaaS). These are not just monetary, like lowering IT costs and reducing total cost of ownership (TCO), but also include increasing business agility, computing power,… Read More
Businesses in the life sciences sector are navigating complex decisions regarding their laboratory data management. They face demands for data accuracy, compliance, and integrity that drive decisions about data platform use. A platform serves as a bespoke hub for data regardless of which or how many data sources are involved. Your platform choice can be… Read More
If you’re reading this blog post, you’ve already concluded that you need to simplify your informatics footprint. We know that maintenance of the different systems and instances can grow out of control and be a logistical nightmare. Not to mention the siloed information within those systems that keep your organization from making the best business… Read More