On the Evaluation, Management and Improvement of Data Quality in Streaming Time Series

The Internet of things (IoT) technologies plays a key role in the Fourth Industrial Revolution (Industry 4.0). It means digitisation industry and its services to improve productiveness. To achieve necessary information throughout different processes, useful data streams are obtained provide Artificial Intelligence Big algorithms. However, strategic decision-making based on these algorithms may not be successful if they have been developed inadequate low-quality data. This research work proposes set metrics measure Data Quality (DQ) streaming time series implements validates techniques tools that allow monitoring improving quality information. These early detection problems arise relation collected; and, addition, some mechanisms solve problems. Later, also as part work, use case related industrial field is presented, where deployed into management, analysis platform. integration provides additional functionality platform, Decision Support System (DSS) named DQ-REMAIN (Data REport MAnagement ImprovemeNt), regarding from series.