{"id":3260,"date":"2012-09-26T07:00:40","date_gmt":"2012-09-26T15:00:40","guid":{"rendered":"http:\/\/www.formtek.com\/blog\/?p=3260"},"modified":"2012-09-26T07:00:40","modified_gmt":"2012-09-26T15:00:40","slug":"data-tools-defining-the-characteristics-of-quality-data","status":"publish","type":"post","link":"https:\/\/formtek.com\/blog\/data-tools-defining-the-characteristics-of-quality-data\/","title":{"rendered":"Data Tools: Defining the Characteristics of Quality Data"},"content":{"rendered":"

When can data be considered ‘high quality’? \u00a0Joseph Juran<\/a>, an early promoter data-quality, defined <\/a>“data to be of high quality if it fits the intended uses in operations, decision making and planning.” \u00a0Data needs to consistently and accurately<\/a> represent real world objects to which the data refers.<\/p>\n

Thomas C Redman<\/a>, ‘the data doc’ at Navesink Consulting Group, identified the following characteristics of high quality data:<\/p>\n\n\n\n\n\n\n\n
Free of defects<\/td>\nRelevant<\/td>\n<\/tr>\n
accessible<\/td>\ncomprehensive<\/td>\n<\/tr>\n
accurate<\/td>\neasy to read<\/td>\n<\/tr>\n
timely<\/td>\neasy to interpret<\/td>\n<\/tr>\n
complete<\/td>\nconsistent with other sources<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Data quality is becoming increasingly important as the number of big data and business analytics projects grows. \u00a0Data quality also plays an important role in the area of data governance, application modernization projects and master data management.<\/p>\n

In the area of data tools, Gartner identifies six areas<\/a> in which data quality management tools can provide value:<\/p>\n