Data Quality Management Lacking Among Businesses
Less than half of C-level executives and data scientists in Blazent's survey said they are very confident about their organization’s data quality.Data quality must improve significantly if businesses are to reap benefits, according to a Blazent survey of 200 C-level and senior IT professionals. According to the report, less than half (40 percent) of C-level executives and data scientists are very confident in their organization’s data quality, with the majority (94 percent) recognizing the impact poor data quality has on business outcomes. Two key disadvantages are lost revenue (42 percent) and bad decision-making (39 percent). "The lack of faith in data quality management was surprising, in spite of the clear need for it. Business users do not have a clear sense of the breadth and depth of the data quality problem in spite of the fact that they are continuously exposed to the effect of bad data," Gary Oliver, CEO of Blazent, told eWEEK. "Also, I was somewhat surprised at the lack of alignment between line of business and IT groups, considering they’re two eggs in the same basket."
Oliver said given the amount of data coming in from too many directions, and given that the existing tool sets and IT infrastructure mechanisms are clearly overwhelmed, the results are easy to understand, if a bit surprising.