A low-code/no-code engineering utility to build and deploy Data pipelines
xRECON provides advanced functionality for aligning and verifying data across various sources to ensure accuracy and consistency. This feature is essential for validating data integrity and resolving discrepancies between datasets.
Reconciling with Source
Multi-way Reconciliation to compare and align data across multiple sources to ensure consistency and accuracy across different systems or datasets.
Reconciling with GL
Validate and reconcile financial data with General Ledger (GL) systems to ensure that all transactions and records align with accounting records.
Reconciling Automation
Leverage automated reconciliation checks to achieve up to 75% reduction in quality assurance(QA) effort, streamlining data validation processes and reducing manual oversight.
Key Features
Recon with Primary Key
Reconcile data using primary keys to match records precisely, facilitating accurate comparisons and updates.
Detailed Reconciliation Checks
Source Missing Records: Identify records present in the source dataset but absent in the target.
Target Missing Records: Detect records present in the target dataset but missing from the source.
Mismatch Records: Highlight discrepancies between records in the source and target datasets.
Recon without Primary Key
Implement reconciliation without primary keys for scenarios where records need to be matched based on other criteria or data attributes.
Results & Reporting
Results with Variance: View detailed results showcasing variances between datasets to understand the extent of discrepancies.
Report with Difference: Generate comprehensive reports that outline differences and provide actionable insights for resolution.
Custom Rules
Define specific reconciliation rules to suit your business needs, ensuring precise data alignment and validation.
Scalability
Efficiently manage and reconcile large volumes of data across multiple sources, supporting complex reconciliation processes.
Reporting and Alerts
Receive detailed reconciliation reports and alerts for discrepancies, facilitating prompt resolution and maintaining data quality.
Automated Comparison
Perform comprehensive data comparisons to identify inconsistencies and ensure alignment across different sources.
