Report
Putting the “Ops” in DataOps: Success factors for operationalizing data
Successfully operationalizing data is a critical step for enterprises aiming to gain a competitive advantage through enhanced data maturity and informed decision-making. Many organizations struggle to bridge the gap between their growing data volumes and actionable insights, often failing to effectively integrate DataOps methodologies. S&P Global (via 451 Research) helped by conducting extensive industry surveys that provide a clear framework for assessing and improving data maturity. By analyzing these findings, S&P Global helped enterprises identify strategic next steps and maturity benchmarks. This expert analysis empowers organizations to implement robust DataOps practices, ultimately unlocking the potential of their data for high-impact initiatives like generative AI.
