12 Challenges in Financial Data Migration and How IT leaders Tackle Them
Data migration projects are notorious for either going over budget or failing to meet their original objectives. While financial services companies need to migrate data
Data migration projects are notorious for either going over budget or failing to meet their original objectives. While financial services companies need to migrate data
Imagine losing 31% of your revenue due to poor data quality. For financial services, this isn’t just hypothetical — it’s a harsh reality that demands
So you are planning to migrate data to new systems, what could possibly go wrong? As it turns out, quite a lot. From data corruption
In 2022, Morgan Stanely was fined $35 million by the SEC for failing to protect customer data. This failure happened because the financial services firm did
Summary: Data matching connects records that belong to the same entity across different systems, formats, and datasets. This guide helps data practitioners and business users
Summary: Fuzzy matching identifies records that refer to the same entity even when formats, spellings, or fields don’t match exactly. This guide is for data practitioners, analysts, and engineers
In 2023, businesses lost an average of 31% of revenue due to bad data. It wasn’t the first time – poor data quality continues to
Imagine a doctor trying to retrieve a patient’s medical history, but instead of one accurate record, they find three profiles – one with an outdated
From 2013 to 2015, Facebook and Google were tricked into wiring over $100 million to a scammer’s account who impersonated a trusted vendor. The fraud
A recent Gartner study predicts that more than 70% of recently implemented ERP initiatives will fail to fully meet their goals – and up to
Data Ladder offers an end-to-end data quality and matching engine to enhance the reliability and accuracy of the enterprise data ecosystem without friction.