The precursor to LIMS data analytics is structured data

Questions abound—about our health and the environment—for which laboratories are uniquely positioned to possess the answers. In fact, your laboratory’s biggest, most valuable asset may very well be its data.

Properly collated and analyzed, data can lead to insight, knowledge, even power. But to find those answers and ultimately unlock the value of the data you hold, your laboratory will need strong data analytics capabilities.

In the span of only a couple of decades, IT strategies have evolved from data management for reporting to data warehousing for business intelligence (BI), and now to machine learning (ML) and artificial intelligence (AI) for massive data processing, pattern recognition, predictive analytics, and complex modeling.