CopernNet : Point Cloud Segmentation using ActiveSampling Transformers
In the dynamic field of railway maintenance, accurate data is critical. From ensuring the health of ...
Published on: October 14, 2016
Extracting more value from imperfect data
Enterprise data used in asset management commonly comprises data from different sources. Factors such as variations in quality and definitions can hinder analysis and lead to suboptimal conclusions. In this practical workshop we introduce techniques to extract maximum value from your data and apply them using Microsoft Power BI.
In this hands-on workshop, you will work on a constructed data set of a fictional company exhibiting several commonly observed real-life issues. Using data profiling and cleansing you will identify and deal with these issues, to improve the data quality. This will then allow us to built reports that provide accurate insights on which a future strategy can be based.