Product matching is the process of matching identical products from various sources through deep learning technologies. In a competitive landscape, where the customer’s spending habit
Unlike traditional stores, digital retailers rely on the effective categorization and dissemination of their product data on their web pages. So having accurately categorized product data on their
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
Retailer A makes consistently higher sales than Retailer B for the same product, at the same price. Both retailers have 4.5+ star ratings with positive
Data quality (DQ) and data quality management (DQM) is emerging as a needed business strategy in enterprise-level organizations. Although not a new concept (data quality
Picture this: You sell phone cases and offer a wide variety on your online store. A shopper visits your site looking for a specific phone
Data, an organization’s intellectual asset, must be treated and regularly enriched to remain useful and valuable. Over 80% of companies we’ve worked with, — including
44% of companies lose over 10% of annual revenue due to poor-quality CRM data. This shows how many CRM users’ trust in their data is
Merge purge is the process of combining records from multiple data sources into one dataset, then identifying and resolving the duplicates so what’s left is
Data preparation tools have been around for quite some time now. Most of these tools though require users to be proficient in programming languages &
As companies are spending billions of dollars investing in big data with the hopes of turning data into money, the need for efficient, easy-to-use data preparation
Did you know that 8% of deliveries in the U.S. fail the first time, costing businesses an average of $17.20 per package? While there are
Data Ladder offers an end-to-end data quality and matching engine to enhance the reliability and accuracy of enterprise data ecosystem without friction.
