There is a better way. Reconciliation systems are evolving and becoming capable of ingesting multiple formats and unstructured data, handling complex data transformation and reconciliation with intelligent matching capabilities, enabled through machine learning.
Data integrity is the foundation for these solutions. With it, you can ensure the accuracy and consistency of data across the entire data reconciliation lifecycle from customer onboarding to client servicing and transaction reporting. For manufacturing companies to insurance companies, for CPR to retails, improvements in data reconciliation reduces risk, improves operational efficiency and accelerates decisions—ultimately resulting in a better outcome and experience.