Unlocking the Power of Data: Digital Transformation in Life Sciences

Industry 4.0 is marching towards digital transformation in life sciences and smart factories are being driven by IIoT, real-time data, cloud computing, and machine learning. With its implementation comes the promise of increased efficiencies and improved processes. The idea sounds simple, but manufacturing has many distinct data points across its entire process and integrating a digital transformation strategy and data across an enterprise is a far more challenging undertaking, especially in regulated environments.

Data Integration Roadblocks

1. Data is in siloed disparate systems. Most lifesciences manufacturers today are set up with a multitude of systems that can’t effectively communicate with one another. Systems across a manufacturing enterprise can range from:

• • Automation & Controls
  • Quality
  • Environmental Monitoring System (EMS) / Building Management System (BMS) & Utilities
  • Asset management (Calibrations)
  • HR (Training Records)

Having the ability to make this information accessible and visible is the first step to real-time data measuring and analysis.

2. Data is incomplete or illegible. Data integrity is vastly important, yet many manufacturers still rely on paper records that can get lost, ruined, or even lost.

3. Data is unavailable to perform offline analysis and to make sense of data trends. The data must not only be un-siloed but also needs to be collected in real time. Manual processes can be untimely, and decisions are made on old data. Actionable data must be collected in real time.

The potential opportunities that arise from this vast amount of data are endless, but often manufacturers require some level of digital transformation consulting to understand where to start and the next steps to take. NeoMatrix can solve your data integration issues by pulling in information from your disparate systems and extracting value from your data (through real-time visualization, analytics, or electronic batch records, or ML/AI with no impact on your validation processes.

The Key for Life Sciences Manufacturers is to Take One Step at a Time

1. Start small – there is no need to overhaul your entire manufacturing process. The first step is to collect data on the plant floor and make it available to the decision-makers.

2. Connect disparate systems – create an infrastructure that supports the collection, transformation, and accessibility of data across equipment and departments.

3. Digitize manual processes – many manufacturers still rely on legacy paper-based processes by switching to digital formats such as e-signatures, and audit logs you can collect the information needed in the moment.

The Next Step for Digital Transformation in Life Sciences

Manufacturers that can utilize real-time data across their manufacturing ecosystem will enhance their ability to stay profitable and competitive by gaining insights from the factory floor and across their enterprise. Contact us today to schedule a complimentary digital transformation consulting session and take the next step on your digital Industry 4.0 journey.