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Actian's Innovative Data Observability Solution Launch

In an era where data is the backbone of enterprise decision-making and AI innovation, having reliable, high-quality data is crucial for businesses. Recognizing this need, Actian, the data division of HCLSoftware, has introduced Actian Data Observability, a robust solution that aims to revolutionize how enterprises monitor and manage their data quality. Just launched on May 12, 2025, this innovative tool leverages advanced AI and machine learning techniques to provide ongoing visibility into complex data ecosystems, thereby addressing common data quality issues that often hinder AI initiatives.

Addressing Traditional Limitations

Traditional methods of data quality management often fall short, unable to keep pace with the accelerating volume and speed of data flows. Many businesses face challenges, such as unreliable data, hidden quality problems, and rising costs associated with cloud data management. According to Gartner's statistics, the adoption of data observability tools is set to rise dramatically, with projections indicating that by 2026, 50% of enterprises utilizing distributed data architectures will have implemented these tools—a significant increase from less than 20% in 2024.

Emma McGrattan, the Chief Technology Officer at Actian, emphasized the importance of this innovation: "Enterprises depend on data to power decisions, drive AI initiatives, and meet regulatory demands. Actian Data Observability equips teams with the necessary visibility and assurance to trust their data, significantly reducing risks and enabling businesses to turn data into a competitive advantage."

Multifaceted Monitoring for Enhanced Quality

What sets Actian Data Observability apart from traditional solutions is its proactive approach to data quality management. Unlike reactive, rule-based systems, this platform runs thousands of data quality checks concurrently, covering diverse metrics such as data freshness, volume, schema drift, and distribution patterns.

Key features include:

• - ML-driven Anomaly Detection: Automatically identifies anomalous behaviors and patterns, suggesting root-cause analyses to expedite issue resolution.
• - Scalable Connectivity: The solution connects seamlessly with any dataset in the ecosystem, ensuring data integrity without compromising performance.
• - Optimized Cloud Resource Consumption: By not relying on data sampling, Actian allows enterprises to better predict their cloud costs, thus preventing unanticipated expenses.

Use Cases for a Diverse Range of Needs

Actian Data Observability is built specifically for enterprises with complex, high-volume data environments, supporting various use cases:

• - Data Pipeline Efficiency: Enables teams to quickly address quality issues near the data source, using a shift-left strategy that reduces issues from propagating downstream.
• - AI Lifecycle Monitoring: Ensures that AI applications meet safety and compliance standards by validating the quality and freshness of training data.
• - Safe Self-service Analytics: Empowers users like analysts to independently assess data reliability with real-time health indicators embedded in business intelligence tools.

Integration and Performance

Designed with an open architecture, Actian Data Observability integrates seamlessly with various cloud data warehouses, data lakes, and streaming platforms. Importantly, it separates data quality workloads from production environments, safeguarding business operations from potential performance disruptions. Additionally, with native integration to Apache Iceberg, users can track changes and ensure quality insights across systems, all while fortifying data security by managing checks where the data resides directly.

Scheduled for global availability in June 2025, Actian Data Observability will also be part of the Actian Data Intelligence Platform later in the fall of 2025. This innovative solution promises to transform how businesses manage their data landscape, turning potential liabilities into significant assets in their quest for data-driven success.

For more detailed information, refer to the white papers titled "Quality Data, Reliable AI Introducing Actian Data Observability" and "How to Achieve Complete Data Observability–Without Breaking the Bank".

About Actian

Actian aims to empower enterprises with effective data management and governance. Their innovative solutions not only streamline intricate data environments but also enhance the delivery of AI-ready datasets. Operating seamlessly across on-premises, cloud, and hybrid frameworks, Actian continues to lead the charge in data management, helping businesses leverage the power of their information effectively. Discover more about their offerings on their website.