SEP 22, 2017SAN DIEGO Qualcomm Incorporated (NASDAQ: QCOM) today announced that Qualcomm River Holdings B.V., an indirect wholly owned subsidiary of Qualcomm, has extended the offering period of its previously announced cash tender offer to purchase all of the outstanding common shares of NXP Semiconductors N.V. (NASDAQ: NXPI). The tender offer is being made pursuant…
Lyle stresses the importance of capturing as much quality data as possible to track trends, monitor and trace issues, and perform statistical analyses. Only with this level of both macro and micro analysis across all plants will an organisation be equipped with the necessary operational knowledge needed to enable plant managers and manufacturers to make important quality developments and crucial cost savings:
“Manufacturers are operating in an increasingly unpredictable and ever-changing global market. Not only is the geopolitical climate somewhat uncertain, but new regulations have sprung up in many markets to deal with technological and economic change.
“At such a tumultuous time, it’s important for manufacturers to be agile wherever they operate, but unfortunately many use antiquated data systems that keep data stored on site at individual locations. While these systems might be effective for improving individual plant performance and tackling problems in a reactive manner at a local level, they prevent manufacturers from conducting more sophisticated analyses at the enterprise level. They also limit the manufacturer’s ability to gain real-time visibility over larger, systemic problems.
“This lack of visibility into all aspects of a manufacturing process is a primary stumbling block to continuous improvements. By gaining visibility over disparate data, manufacturers can leverage it to drive strategic thinking across operations by using strong quality management software to apply new data collection practices and modern analytics.”
By collating disparate data, regardless of geography or technology, manufacturers are placing themselves in an advantageous position to fully utilise the information from this data. Comparing the efficacy of one site to another, or the excess waste from one plant versus another, provides manufacturers with an opportunity to make significant cost savings that can impact their businesses.
“Too often data is siloed within site-specific databases, providing individual plant performance indications; this approach prevents manufacturers from conducting more sophisticated analyses at the enterprise level. This also limits manufacturers from gaining real-time visibility over larger, systemic problems that can have serious repercussions for operators,” concluded Lyle.
To learn more about how unified quality data can help manufacturers achieve enterprise visibility and drive global improvements, download InfinityQS’s new whitepaper here: http://www.infinityqs.com/imagine/?utm_source=pr-team&utm_campaign=q1-quality-reimagined&utm_medium=pr&utm_content=new-visibility-whitepaper-uk.
About InfinityQS International, Inc.
InfinityQS International, Inc. is the global authority on data-driven enterprise quality. The company’s Manufacturing Intelligence solutions deliver unparalleled visibility across the enterprise, from the shop floor to the boardroom, enabling manufacturers to Re-imagine Quality and transform it from a problem into a competitive advantage. Powered by centralized analytics, InfinityQS’s solutions provide operational insight to enable global manufacturers to improve product quality; decrease costs and risk; maintain or improve compliance; and make strategic, data-driven business decisions. Headquartered near Washington, D.C., with offices in Seattle, London, and Beijing, InfinityQS was founded in 1989 and now services more than 40,000 active licenses with more than 2,500 of the world’s leading manufacturers, including Ball Corporation, Boston Scientific, Graham Packaging, and Medtronic. For more information, visit https://www.infinityqs.com/