SAS: Big Data And Big Analytics For Product And Process Quality
Posted: 3 October 2011 | Source: SAS
How an enterprise-wide quality platform can turn existing data into substantial and sustainable revenue growth and cost savings for global manufacturers.
This is a report on the findings of the IW/SAS Enterprise Quality Survey*.
The objectives of the survey were to determine concerns about quality among manufacturers; investigate the tools used to measure quality; and examine how using enterprise-wide analysis on quality data could improve performance.
E-mail survey: On July 7, 2011, IndustryWeek e-mailed invitations to participate in an online survey to a total 53,391 subscribers; 422 completed surveys were returned, for an effective response rate of .8 percent.
Title, job function, and industry: Seventy-four percent of respondents hold executive-level or manager positions while the rest are individual contributors with no direct reports. Respondents mostly work in general management (22 percent) or operations (20 percent); 13 percent work in a quality function; 12 percent in production; 8 percent in supply-chain management; and the remaining in finance, IT or “other” functions. The top industries represented are industrial machinery (21 percent), automotive (11 percent), consumer durables (9 percent), metals/mining (8 percent) and aerospace/defense, consumer/industrial electronics, and plastics and rubbers (7 percent each). Twenty-nine percent of represented companies have annual revenues of $1 billion to $10 billion. The rest have annual revenues of less than $100 million to $999 million.