Insurance companies are challenging to the implementation of data quality management. This presentation is the result of a project at Cosesp, a large insurance company in Brazil, and covers, as much as can be disclosed, several issues of real world data quality management implementations. Luis Francisco Lima GoDigital Precision Marketing [email protected] Dalvani Lima GoDigital Precisi...

The relationship between data quality and data standards has not been clearly articulated. While some directly state that data standards increase data quality, others claim the opposite. Depending on the type of data standard and the aspects of data quality considered, both arguments may in fact be correct. We deconstruct a typology of data standards and ap ply a dimensional definition of data ...

Despite the increasing importance of data and information quality, current research related to Big Data quality is still limited. It is particularly unknown how to apply previous data quality models to Big Data. In this paper we review Big Data quality research from several perspectives and apply a known quality model with its elements of conformance to specification and design in the context o...

Abstract. When we describe the shape of certain entities, like a vase or a river, we refer to their qualities in different ways. A river has usually a definite length, but its width varies with the distance from the source, typically getting higher towards the end. Similarly, a vase has a definite height, but its width may vary, reflecting a certain pattern that often marks a particular style. ...

For the visual system, luminance contrast is a fundamental property of images, and is one of the main inputs of any simulation of visual processing. Many models intended to evaluate visual properties such as image discriminability compute perceived contrast by using contrast sensitivity functions derived from studies of human spatial vision. Such use is of questionable validity even for such ap...