Acceldata, the leader in all-in-one enterprise data observability, is debuting its newly expanded AI-powered data reconciliation capabilities that fortifies enterprises with trusted data, at scale. Bringing the necessary data integrity for managing complex, modern data ecosystems, Acceldata’s new capabilities ensure data is accurate, consistent, and audit-ready across on-premises, cloud, and hybrid environments.
The state of data is fraught with complexities, whether caused by diverse sources, velocity, or sheer volume. This means that reconciling modern data is a difficult task, only made further demanding by the traditional, manual reconciliation methods available today—which include writing custom scripts or using spreadsheets.
These traditional methods are “time-consuming, error-prone, and incapable of scaling to the complexity of today’s hybrid and multi-cloud architectures. They lack the agility to handle dynamic data flows or to ensure compliance with rigorous regulatory standards,” noted Ashwin Rajeeva, CTO and co-founder of Acceldata.
To rectify this challenge, Acceldata’s expanded data reconciliation capabilities transcend basic error detection by implementing AI to automate and enhance complex reconciliation processes. Acceldata’s AI-powered reconciliation engine eliminates manual intervention for data reconciliation processes—including error detection, resolution, and compliance—and delivers actionable insights, all at petabyte scale. This is further enhanced with a low-code approach that lowers the barrier for adoption, enabling any organization to adopt Acceldata with little effort, according to Rajeeva.
Delivering predictive insights and automated resolution strategies, Acceldata “empowers enterprises to address issues before they disrupt operations, ensuring real-time data reliability, scalability, and compliance,” said Rajeeva. “The ability to combine AI-driven insights with large-scale automation, fundamentally…[transforms] how enterprises approach data integrity.”
Acceldata’s enhanced data reconciliation offers the following capabilities:
- Smart matching for complex datasets which automates column alignment across diverse datasets, limiting manual intervention and inviting more precise data comparisons
- Bulk reconciliation policy creation, empowering large-scale reconciliation through automated rule creation for consistent data validation across diverse sources and formats
- Nested data structure and UPSERT handling for efficiently storing and retrieving complex data, as well as preventing duplication to maintain data integrity
- Flexible reconciliation across environments including file-based formats and high-volume tables like SAP HANA, without big data infrastructure
- Chunk-based hash equality that enhances high-volume reconciliation efficiency while reducing data movement and maintaining precision
- Error detection paired with root cause analysis that delivers proactive discrepancy alerts and AI-powered resolution recommendations
- Table schema reconciliation that ensures schema changes are automatically adhered to, preserving data accuracy and consistency
- Auditable processes through audit-ready documentation that drive integrity and accountability
Acceldata’s data reconciliation functionality is applicable to a broad range of industries, including finance, retail and manufacturing, healthcare and life sciences, sales and marketing, and more. For example, Acceldata can enable marketing and sales teams to increase pipeline accuracy with reliable data or empower finance teams with continuous monitoring and audit-ready documentation for compliance purposes, according to the company.
Ultimately, “Acceldata's AI-powered data reconciliation capabilities are a game-changer for enterprises navigating complex data environments,” Rajeeva explained. “By automating traditionally manual and error-prone processes, Acceldata empowers organizations to achieve trusted data, operational excellence, and compliance, even in the most demanding hybrid and multi-cloud scenarios. This shift enables businesses to unlock the full potential of their data while staying ahead in an increasingly data-driven world. Acceldata isn't just solving reconciliation problems; it's redefining how enterprises trust, scale, and govern their data in the AI era.”
To learn more about Acceldata, please visit https://www.acceldata.io/.