Just 10% of IT leaders are working with “modern” data stacks.
Digital transformation and modernization projects are being hindered by a lack of data maturity at enterprises, according to new research
More than half (54%) of the survey respondents said they rated their data maturity levels as “good” or “advanced”. Similarly, 76% described themselves as having trust in their data – yet despite this, one-fifth of respondents highlighted ongoing challenges.
Nearly one-quarter (22%) of respondents pointed towards issues of data bias while 20% cited issues of data quality within their organizations, with both of these issues frustrating the ability to use generative AI systems.
The research pointed toward fundamental mismanagement of data teams as a key stumbling block. For many enterprises, however, the issues run deeper. Nearly half (41%) of respondents said their organization lacked a centralized data or analytics function.
