Tag: data quality

Confirmation bias in data analysis is the tendency for individuals to interpret data in ways that confirm their preexisting beliefs or hypotheses while disregarding or downplaying contradictory evidence. This bias can lead to skewed analyses where two individuals might interpret the same dataset differently, resulting in opposing conclusions.

In today's digitally driven business landscape, data has become an indispensable asset. The ability to effectively harness and utilize information is a key determinant of a company's success. To remain competitive, organizations must be agile and adaptable to both internal and external changes.

Data quality is a generalized concept that describes the degree to which information is suitable for analysis. There are a number of criteria used to assess the correctness, completeness, accuracy and reliability of data.

When you create a data warehouse is not enough attention is paid to cleaning the incoming information into it. Apparently, it is believed that the larger the storage, the better. This is a surefire way to turn your data warehouse into a garbage dump.