KPI. Data Quality - White Papers, Webcasts and IT downloads - Bitpipe. Data Quality & Integration - A Butler Group Briefing. Open-dm-dq: Understanding the Mural Match Engine. Data Quality Pro Journal - Data Quality Pro - The Essential Onli. Data quality - encyclopedia article about Data quality. Data are of high quality "if they are fit for their intended uses in operations, decision making and planning" (J. M. Juran). Alternatively, the data are deemed of high quality if they correctly represent the real-world construct to which they refer. Furthermore, apart from these definitions, as data volume increases, the question of internal consistency within data becomes paramount, regardless of fitness for use for any external purpose, e.g. a person's age and birth date may conflict within different parts of a database.
The first views can often be in disagreement, even about the same set of data used for the same purpose. This article discusses the concept as it related to business data processing, although of course other data have various quality issues as well. Definitions This list is taken from the online book "Data Quality: High-impact Strategies".[1] See also the Glossary of data quality terms [2] History Overview Problems with data quality don't only arise from incorrect data. Journal of Object Technology - Towards Quantifying Data Quality.
Abstract Today most organizations run their daily operations using data at their disposal. However, a vast majority of the organizations do not have adequate process and tools to maintain high quality operational data at all times. One of the key reasons for this is the lack of appreciation of the damages that low quality data can bring to an organization, and the cost of ensuring high quality of data. This article provides a basis for quantifying in monetary terms the costs of both low quality data and ensuring high quality data. To provide a basis for understanding the costs of both low quality data and ensuring high quality data, we need to understand the types of data that organizations use in running their daily operations. “Front-office” data Front-office data is data that is used in running primary daily operations of an organization; for example, customer account data in a bank to support daily debit-credit transactions. [Kim 2002] Kim, W.
About the authors. Monitoring and Improving Data Quality in Large Data Warehouses. Database query tool - Aqua Data Studio is the query analyzer tha.