How Life Sciences Can Get New Value from Sensor Data
Author:Paul Matsiras, PhD
Pharmaceuticals packaging plants collect huge amounts of data, but leave a higher level of value untapped. Big data, analytics and the Internet of Things can turn line data collected by sensors into actionable information that life sciences companies can use to dramatically improve both operational efficiency and revenue.
Life sciences packagers justifiably pride themselves on their efficiency. Yet every day, these same companies generate huge quantities of a priceless asset — and then let much of it go to waste. This asset is data — specifically, data collected on packaging lines by digital sensors as they monitor packaging conveyor belts at pharmaceuticals plants around the world. With big data serialization, this data doesn't have to go to waste.
Today, life sciences packagers’ traditional practices and ways of thinking are being challenged by emerging technologies that include big data, analytics and the “Internet of Things” (IoT). And exciting new opportunities are being created.
Big data is a set of technologies used to handle data sets that are too large and too complex for conventional databases. Analytics refers to technologies that examine complex data sets for business insights and information. And IoT is a term for new technologies that let sensors and other smart objects share data with each other as well as with centralized databases.