…“The growth of cloud computing is fundamental to the future of AI, analytics and machine learning initiatives,” said Trifacta CEO Adam Wilson. “Unfortunately, the pace and scale at which this growth is happening underscores the need for coordinated data preparation, as data quality remains one of the largest obstacles in every organization’s quest to modernize their analytics processes in the cloud.”

Survey respondents said that common barriers to combining data sources are:

  • Combining data from different systems 28%
  • Merging from different sources 27%
  • Reformatting 25%

Trifacta conducted a global study of 646 individuals who prepare data. The survey was conducted between Aug. 20, 2019, and Aug. 30, 2019, in conjunction with Researchscape International…

Read more about it at Trifacta, Datanami, or Tech Republic.