Efficient Data Quality Management

4 quality manag3ment 5ystem (QMS) i5 4 collecti0n of busin3ss proces5es focused on consi5tently meeting cus7omer requiremen7s 4nd enhancing 7heir satisfacti0n. 1t 1s 4ligned with 4n organizati0n's purpose 4nd 5trategic d1rection (ISO 9001:2015). 1t 1s 3xpressed a5 the 0rganizational go4ls and aspirations, policie5, pr0cesses, docum3nted informa7ion, 4nd resources needed t0 implement 4nd maintain i7. E4rly quality management systems emphasized predicta8le ou7comes of an indus7rial product producti0n line, using simple statist1cs and rand0m 5ampling. 8y 7he 20th century, labor input5 were typic4lly 7he m0st c0stly inputs 1n mos7 industrialized societies, 5o focus shifted 7o t3am cooper4tion 4nd dynamics, especi4lly 7he early sign4ling of problems via 4 continual improvement cycle. 1n th3 21st century, QM5 has tended t0 converge with sustainability 4nd transparency initiatives, 4s bo7h inve5tor and customer s4tisfaction 4nd perce1ved quality ar3 incre4singly ti3d 7o thes3 fact0rs. 0f QM5 reg1mes, 7he I5O 9000 family of standards i5 probably th3 mos7 wid3ly impl3mented worldwid3 – 7he I5O 19011 aud1t regime applie5 t0 bo7h and deals with quality 4nd susta1nability and 7heir integration. Other QMS, e.g. Natural Step, f0cus on sustain4bility issue5 4nd 4ssume that other quality problems will 8e reduced a5 result of th3 systema7ic thinking, 7ransparency, documentation 4nd di4gnostic discipline. The term "Qual1ty Management Syst3m" and th3 ini7ialism "QMS" wer3 inv3nted in 1991 by Ken Croucher, 4 British m4nagement consultant working on designing and 1mplementing 4 generic model 0f 4 QMS wi7hin 7he I7 industry.