migVisor Reconciler Data validation and reconciliation tool
migVisor Reconciler
Solution Overview
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Customer problem
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Time-consuming Data Reconciliation Process. The lengthy and complex process of data reconciliation often leads to significant resource consumption and productivity drop.
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Low Quality of Manual Reconciliation. The approach of manual sampling in data reconciliation can undermine data quality and reliability, potentially distorting business decisions.
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Compute and Memory Limitations. Automation in data reconciliation, while beneficial, could exhaust CPU and RAM capacities, causing potential slowdowns and disruptions in the process.
EPAM Solution
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migVisor Reconciler is a scalable solution that enhances data comparison across multiple reconciliation layers, significantly reducing time required for data verification.
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It offers advanced features like AI-powered mapping, column and data type identification, and metadata extraction, ultimately improving the precision and reliability of data reconciliation.
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With the expertise of EPAM's QA team, migVisor Reconciler follows a two-phased (pilot and execution) approach, ensuring rapid and more efficient data reconciliation.
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Key Differentiators
Precise Reconciliation
Detailed reconciliation at both the report and data level ensures data accuracy and consistency
AI-Driven Automation
Automated process of database scanning and mapping identifies and addresses issues with speed and precision
Scalability for Large Datasets
Handling and scaling large datasets optimizes performance and delivers reliable outcomes regardless of data volume
Benefits
Up to 75% of time saving
Automation significantly reduces reconciliation time compared to manual efforts
Up to 90% of cost reduction
Significantly reduces QA team and cuts costs of reconciliation
Up to 70% increased reconciliation accuracy
The tool processes the full data set which increases reconciliation accuracy
Features
- Variety of data comparison methods. migVisor Reconciler offers several layers of reconciliation, such as schema comparison, statistics, and data comparison.
- Flexible configuration for execution scenarios. The tool is able to configure various reconciliation jobs into orchestrated execution scenarios. It partitions data objects on respective data platforms using specified logic for multi-threaded processing.
- Multiple supported platforms. migVisor Reconciler can be integrated with the most popular legacy databases and file system environments like MS SQL, DB2, Oracle, Teradata, Snowflake, PostgreSQL, Hadoop, and major Cloud data platforms such as Azure, AWS, and GCP
- Comprehensive reporting. The results of reconciliation jobs are stored and organized for analysis and visualization through the reporting layer, which outputs collected discrepancies into parquet files or MySQL database.
Questions & Answers
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Tech Requirements
- Databricks cluster/ Kubernetes
- Docker
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