DataOps: The Missing Link In Your Pharma 4.0 Architecture

By John Harrington, HighByte Chief Product Officer

Pharma 4.0, Digital Transformation, and Smart Manufacturing aim to leverage disparate data to drive automated decisions from machinery to the Cloud and enhance information accessibility for business decision-makers. The adoption of technologies such as Cloud computing, IoT platforms, and advanced analytics is fueling the mainstream leap into the Fourth Industrial Revolution. Unfortunately, implementing these solutions has proven to be more time-consuming and labor-intensive than expected due to data accessibility and contextualization challenges.

Life sciences manufacturers who were early in adopting advanced technologies faced difficulties due to inconsistent data that lacked context, hindering its effective utilization. Moreover, the immense volume of data often surpassed practical usability thresholds, as most uses did not require the data at such a high resolution. Today, data is needed near the machinery, in on-premises data centers, and, in many cases, within Cloud-based systems. To solve these data architecture challenges and address the need for data contextualization and standardization, a new category of software solutions is emerging that may be the key to digital transformation for life sciences companies. This category is termed DataOps, or more specifically Industrial DataOps, when the solution has been purpose-built for industrial data.