Sentence examples for bad data quality from inspiring English sources

This paper presents 2 novel data cleaning methods that permit identification of animals with good and bad data quality.

Both the good data quality case (SNR=10) and the bad data quality case (SNR=4) are considered.

This characterizes big data quality as good, bad, or undefined due to data inconsistency, incompleteness, ambiguity, latency, deception, and approximations [12].

Indeed, "bad data or poor data quality costs US businesses $600 billion annually" [79], "poor data can cost businesses 20 35% of their operating revenue" [67], and "poor data across businesses and the government costs the US economy $3.1 trillion a year" [67].

Instead, we use provider quality control descriptors to label "bad" data.

Some of these factors can be troublesome and can result in poor data quality or ambiguous results; these are "bad" ones.

We have implemented automated quality control procedures for identification of "bad" data with limited success in the WeatherShare system principally to assess sensor accuracy for Caltrans RWIS.

This extreme value indicates that this area does not include sensors that report observations passing quality control in a timely manner, either due to bad data or slow reporting or both.

Our reason for doing this is that we want to determine the timeliest display of correct data that is possible, and if necessary, we can depend on quality control mechanisms implemented on our systems to further filter out bad data.

Research and industry have previously reported the severe harm caused by the presence of poor quality data in many contexts [4 7], with the Gartner Group highlighting bad data as the main cause of failure in CRM systems [8].

To synthesize these data, there should be some good quality data available from a similar coal zone in and around the bad data zone.