According to Anderson, the lack of operations capabilities among data teams is alarming, with only 20% of respondents aligned on definitions involving necessary systems engineering skills.
Anderson highlighted that while data scientists and engineers are well-represented in the survey, operations is lagging significantly, reflecting a gap in effective data operations.
The analysis shows a troubling trend, with a decline in DataOps and an increasing number of teams not adhering to any methodologies, underscoring the need for structured practices.
High-performing data teams are characterized by their adherence to best practices such as unit testing, business collaboration, and cross-functional skillsets, setting them apart from low-value teams.
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