Data Profiling vs. Data Cleansing – Key Differences, Use Cases & Importance in Current Business Environments
Data errors today can easily cascade into millions in losses and poor data quality can cost businesses up to 31% of their revenue. As the
Data errors today can easily cascade into millions in losses and poor data quality can cost businesses up to 31% of their revenue. As the
[vc_row][vc_column][vc_column_text]Accurate product data forms an integral part of a consumer’s purchase decision. From search results to conversions, from brand recognition to comparative product evaluations to
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
As data undergoes a paradigm shift, so do the systems, processes, and approaches involved. Legacy systems are dying. Batch ETL pipelines are slowly becoming obsolete. Ownership is moving away from IT to
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
Having delivered merge purge solutions to clients for over a decade, we consider merge purge operations to be an essential function in business operations like
Data preparation tools have been around for quite some time now. Most of these tools though require users to be proficient in programming languages &
Data Ladder offers an end-to-end data quality and matching engine to enhance the reliability and accuracy of enterprise data ecosystem without friction.