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Why Banks Need Powerful, Agile Data Preparation Solutions for Accurate and Timely Regulatory Reporting
Last Updated on December 10, 2025 Where there is data, there is regulation. Most of all in the financial industry. Banks, insurance companies and financial
Address Data Matching Does Not Have to be a Resource-Draining Challenge. Here’s How You Can Do it Better.
Last Updated on December 23, 2025 Address data is semi-structured, making it one of the most challenging components in a data matching activity. For long
Data Profiling vs. Data Cleansing – Key Differences, Use Cases & Importance in Current Business Environments
Last Updated on December 10, 2025 Data errors today can easily cascade into millions in losses and poor data quality can cost businesses up to
Classify Product Data: Classification Standards and How to Implement them Painlessly
Last Updated on December 11, 2025 Accurate product data forms an integral part of a consumer’s purchase decision. From search results to conversions, from brand
Product Matching: The Key Factor to Accurate Sales and Marketing Intelligence
Last Updated on December 11, 2025 Product matching is the process of matching identical products from various sources through deep learning technologies. In a competitive
The Importance of Product Data Governance for Retail Businesses
Last Updated on December 11, 2025 Unlike traditional stores, digital retailers rely on the effective categorization and dissemination of their product data on their web
Data Matching Tuning: How to Improve Accuracy & Reduce False Positives
Last Updated on January 26, 2026 From 2013 to 2015, Facebook and Google were tricked into wiring over $100 million to a scammer’s account who
Manage Your Retail Business with a Robust Product Data Quality Solution
Last Updated on December 26, 2025 Retailer A makes consistently higher sales than Retailer B for the same product, at the same price. Both retailers
Why Your Organization Must Have a Data Quality Management Plan to Be Ahead of the Game
Last Updated on January 11, 2026 Data quality (DQ) and data quality management (DQM) is emerging as a needed business strategy in enterprise-level organizations. Although