Qualytics Highlights Enterprise Demand for Cross-System Data Quality Solutions

According to a recent LinkedIn post from Qualytics, the company is drawing attention to what it describes as a common data quality failure in enterprise environments. The example contrasts “vertical” data quality, focused on field validity within a single system, with “horizontal” data quality, focused on consistency of records across multiple systems.

The post suggests that insufficient attention to horizontal data quality can lead to misaligned customer interactions, reputational damage, and potential revenue leakage. For investors, this emphasis underscores a demand-driven use case for advanced data quality and observability tools, positioning Qualytics to benefit from enterprises seeking to improve cross-system data trustworthiness and mitigate customer experience risks.