IT decision makers are increasingly frustrated by the complexity, bottlenecks and uncertainty of today’s enterprise data analytics, according to a recent survey by research firm Vanson Bourne conducted on behalf of data intelligence provider Teradata.
The global online survey of 260 senior business and IT decision makers, conducted in August and September 2018, showed that many senior leaders said their analytics investments aren’t necessarily resulting in the answers they’re seeking.
About three quarters (74 percent) said their organization’s analytics technology is complex, with 42 percent of those saying analytics is not easy for their employees to use and understand. In addition, users don’t have access to all the data they need, with 79 percent of respondents saying they need access to more company data to do their job effectively.
And only 25 percent said that within their global enterprise business decision makers have the skills to access and use intelligence from analytics without the need for data scientists.
The explosion of technologies for collecting, storing, and analyzing data in recent years has added a “significant level of often paralyzing complexity,” the report said. The primary reason for this, according to the survey, is that technology vendors generally don’t spend enough time making their products easy for all employees to use and understand.
This problem is further exasperated by the recent surge and adoption of open source tools, the report said.
