Connect Everything Achieving a Productive, Compliant, and Successful Lab

Modern laboratories are often overwhelmed with rapidly scaling operations, strict compliance restrictions, and process improvement challenges. With critical manufacturing processes, labs face enormous pressure to manage operational efficiency while adhering to stringent quality guidelines. Among the challenges, data governance and integrity are at the top. Quality data is crucial to ensure a product’s safety, quality, and efficacy.

Consistent Quality Across Operations

Companies are focusing on producing high quality products with limited regulatory oversight. In addition, scalability in operations is imperative for steady market growth. But, when aligning consistency with scalability, quality is at a greater risk of getting compromised. Manufacturers are promising faster turn-around times which might stress shop floor workers in a manual processbased environment. Manual intervention in data often results in data integrity and compliance risks. This further affects audit results and brand image in the long run.

Quality inputs deliver quality outcomes

Only accurate data can derive insightful analytics. For example, manual recording of measurements during testing of manufactured goods are prone to integrity issues. The process is lengthy and time-consuming. It may also lead to misrepresentation of data in order to match the expected outcome. Data accuracy and integrity is thus highly compromised.

In today’s hyper connected world, technology brings in unimaginable possibilities of bringing material things to life with interconnected systems, artificial intelligence, and machine learning. With smart instruments and devices, accuracy becomes an expected result. Connected systems fetch and record data automatically, leaving practically zero scope for integrity risks. Labs with connected instruments and integrated systems thus perform efficiently.