Top
image credit: Pixabay

Impact of Data Quality on Big Data Management

December 16, 2021

As the available industry literature suggests,Data Quality (DQ) is seriously hindering the success of many big data projects. However, it is apparent that without an organized movement in favor of Data Quality for big data, nothing will actually happen to change the current scenario.

In an interview with the CEO of Informatica, Anil Chakravarthy, reveals how the lack of DQ can inhibit innovation in information technology. The two major impediments to consistent DQ have been identified as high volume of data and inconsistent data elements, both of which could potentially restrict the power of business analytics.

Read More on DATAVERSITY