A LinkedIn post from Quest Software highlights research from IDC’s Stewart Bond on the financial impact of mature data product practices. According to the post, organizations with many, well-managed data products reportedly see an average 10% improvement in financial and operational KPIs, compared with 4% for those at an early stage.
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The post also indicates that strong data product management often coincides with better governance, AI adoption, and decision-making capabilities. For Quest Software, this emphasis suggests a strategic focus on tools and services that support data product maturity, which could enhance demand for its data management and governance offerings and potentially strengthen its competitive position in data-centric enterprise software markets.
If customers accept the premise that more sophisticated data product practices correlate with superior KPIs, interest in solutions that operationalize and govern data assets may increase. This could support higher attach rates for Quest Software’s data intelligence and governance platforms, and, over time, may contribute to more recurring revenue opportunities as enterprises invest in scalable data product infrastructures.
By framing the benefits in measurable performance terms, the post positions data product maturity as a business outcome discussion rather than a purely technical one. For investors, this may signal that Quest Software is aligning its messaging with CFO-level metrics, which could help the company participate in budget decisions tied to efficiency, analytics ROI, and AI-readiness across its customer base.