Reconciliation

Data Reconciliation is a process that involves comparing and matching data from different sources, such as databases, files, or systems, to identify discrepancies, resolve conflicts, and ensure consistency and accuracy. It aims to eliminate errors or inconsistencies that may occur during data collection, integration, or transformation processes.

References

  • Data validation and reconciliation - Wikipedia
    https://en.wikipedia.org/wiki/Data_validation_and_reconciliation
    🔗en.wikipedia.org
  • Improved Data Reconciliation/Data Availability
    When I first wrote about data availability and its relation to data reconciliation a few months back, we were still in our ideation phase about how exactly we’d go about designing an end-to-end…
    🔗Medium
  • 7 ways to speed up your Data Reconciliation process
    If you have done all these then you would understand the pain of performing a full-fledged data reconciliation cycle to prove the success of your cloud data+code migration or modernization journey…
    🔗Medium
  • Data Reconciliation | Dremio
    Data Reconciliation is a process that compares and matches data from different sources to ensure consistency and accuracy.
    🔗dremio.com
  • What is Data Reconciliation? Best Practice Guide - Experian UK
    What is data reconciliation and why is it important? Read our guide to find out why data reconciliation is important and how we can help.
    🔗Experian UK
  • Data reconciliation: the great data jigsaw | Blog - Future Processing
    Businesses deal with large quantities of data on a daily basis – it can be data related to their customers, processes, or bookkeeping, stored in different systems and locations. To make use of it, it needs to be organised, accurate and consistent. This is what data reconciliation is all about.
    🔗Technology & Software Development Blog | Future Processing
  • What is Data Reconciliation? Definition, Process, Tools
    What is Data Reconciliation? Data reconciliation (DR) is defined as a process of verification of data during data migration. In this process target data is compared with source data to ensure that the
    🔗Guru99
  • Data Reconciliation Explained: From Basics to Best Practices
    Dive into the world of data reconciliation and discover its significance in ensuring data accuracy across systems. Learn about its techniques & challenges.
    🔗tookitaki.com
  • What is Data Reconciliation?
    What is Data Reconciliation - Data reconciliation is represented as a phase of verification of records during data migration. In this phase, target data is compared with source information to provide that the migration structure is assigning data. Data validation and reconciliation define a technology that facilitates numerical
    🔗tutorialspoint.com