Essential for your business to convert fragmented information into a unified, accurate foundation for strategic decisions and operational success.
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Unlocking fragmented data
Data reconciliation ensures accurate, unified information for your decisions.
In the current data-centric market, businesses struggle with reconciling vast volumes of data amidst inconsistent formats and complex integration requirements. Ensuring data quality and accuracy is critical, as even minor errors can have major repercussions. Additionally, maintaining data security and regulatory compliance adds another layer of complexity.
We designed a framework to address these pressing challenges by offering advanced parallel processing capabilities and streamlined data mapping solutions. Our service enhances efficiency and accuracy in data reconciliation, ensuring reliable results and adherence to compliance standards. By leveraging our robust tools and methodologies, businesses can navigate these complexities effectively, achieving seamless data integration and maintaining high data quality and security.
Utilizing effective tools and thorough reconciliation processes ensures accurate data migration. Reusable scripts and mapping sheets facilitate a smoother transition, while proactive analysis and reconciliation processes maintain data integrity and support seamless business continuity.
Addressing data migration challenges requires robust tools, clear processes, and a deep understanding of both technical and functional aspects. Reusable scripts enhance security and streamline data transfer, allowing any resource to execute them onsite in the pre-production environment.
Mapping sheets simplify complex transformations by detailing field mappings and special requirements. Data reconciliation is essential for maintaining data integrity, involving both technical checks, such as using a Data Reconciliation Tool to identify discrepancies, and functional checks to ensure core operations like customer and account creation are supported.
Our expertise in data reconciliation is evident through our successful execution of projects involving substantial data volumes. For banking clients, we managed up to 7,000 tables, encompassing portfolios of up to 4,000,000 customers and all related products, with tables containing up to 200 million records.
We successfully executed over 10 major data reconciliation projects involving the migration of entire portfolios from legacy systems to new platforms. Each of these projects typically encompassed an average of 5,000 tables. In addition, we managed numerous medium and small-scale projects.
We help you
Reconcile your migratedData accurately
Parallel ProcessingWe possess the tools that run reconciliation tasks in parallel, enhancing efficiency and executing data reconciliation of large data volumes in a logical timeframe.
Mapping Sheet IntegrationIt reads from comprehensive mapping sheets to understand data relationships and transformations between source and target tables.
Comprehensive LoggingGenerating detailed logs highlighting data mismatches, missing records, extra records, and missing columns, facilitating easy identification of discrepancies.
Early data reconciliation Risk AnalysisPerforming initial aggregate reporting on tables to identify potential issues early enough, ensuring focused and efficient subsequent reconciliation.
Data Integrity VerificationEnsuring the accuracy and consistency of data between source and target databases is crucial for maintaining operational reliability and integrity.
Evaluating Performance with Migrated DataVerifying system operations post-migration for the main functions of the system under test, to ensure that the new system works correctly with migrated data.
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Get in touch with our experts to understand more about our tools and how your project can benefit from them.
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FAQ
Common questions about data reconciliation
What is data reconciliation and why is it important?
Data reconciliation is the process of ensuring that data between two systems, typically a source and a target, are consistent and accurate after migration or integration. It is very important as it ensures data integrity, accuracy, and consistency, which are crucial for maintaining business operations, making informed decisions, and ensuring compliance with regulations.
What are the common types of discrepancies identified in data reconciliation?
Common discrepancies include data mismatches, missing records, extra records, and missing columns. These issues need to be identified and addressed to ensure accurate data migration.
How does parallel processing improve data reconciliation?
Parallel processing allows multiple reconciliation tasks to be executed simultaneously, significantly reducing the time required to process large volumes of data and improving overall efficiency.
What is the role of mapping sheets in data reconciliation?
Mapping sheets define the relationships and transformations between the source and target tables, guiding the reconciliation tool to accurately map and compare data.
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Parallel Processing
We possess the tools that run reconciliation tasks in parallel, enhancing efficiency and executing data reconciliation of large data volumes in a logical timeframe.
Mapping Sheet Integration
It reads from comprehensive mapping sheets to understand data relationships and transformations between source and target tables.
Comprehensive Logging
Generating detailed logs highlighting data mismatches, missing records, extra records, and missing columns, facilitating easy identification of discrepancies.
Early data reconciliation Risk Analysis
Performing initial aggregate reporting on tables to identify potential issues early enough, ensuring focused and efficient subsequent reconciliation.
Data Integrity 
Evaluating Performance with Migrated Data
Verifying system operations post-migration for the main functions of the system under test, to ensure that the new system works correctly with migrated data.
