Implementing and managing a LIMS is a costly endeavor. For many organizations, it quickly becomes a cost center in a QA/QC operation, starting from the initial configuration all the way through to the constant testing, validation and protocol changes.
And it can also be challenging. The flexibility of LIMS permits wide variation in how LIMS performs its business process and accepts results. Once in use within a lab, changes become even more imposing, often dragging down business agility and leading to an increase in staff.
Check out our webinar “Avoiding Pain in Your LIMS,” and learn how standardizing your LIMS configuration approach and ‘automating away’ details pertinent to implementation, reduces the initial investment as well as increases the ability for labs to collaborate, share data and measure their performance.
Click here to watch the webinar.
Common UX Mistakes That Can Cost You
Even the most polished products can leak profits if common UX mistakes drive customers away. Poor #UX isn’t just frustrating—it costs businesses sales, retention, and market trust. In this article by Principal Product Designer James Williams, he shares a number of common UX mistakes and how to fix them for better business outcomes.
What’s Next for Retail? Key Takeaways from NRF 2025
From AI-powered personalization to next-gen supply chains and advanced loss prevention, this year’s NRF event showcased the key innovations shaping the future of commerce. Dive into our key takeaways and see what’s driving retail forward in 2025!
Five Ways AI is Tackling Healthcare’s Biggest Challenges
Innovation and necessity are coming together to demand new solutions for both age-old and evolving challenges in the healthcare industry, and AI is proving to be an indispensable ally. In this article, we explore five key ways AI is driving meaningful change across the industry.
Ten Essential Steps to Optimize Your Data for AI Implementation
Whether you’re just embarking on your AI journey or looking to refine an existing system, optimizing your data is the first—and potentially the most important—step. Through ten actionable strategies, paired with real-world examples from industries like manufacturing, finance, and retail, Principal AI & Data Consultant Ken Cavner will show you how to transform your data into a powerhouse that drives AI success.