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Name Matching Software vs Algorithms: Which is Best for Your Business?
Last Updated on January 2, 2026 Imagine sending out a promotional email to one of your best customers, William Rogers, that opens with “Dear Willy
Using Wordsmith to Remove Noise and Standardize Data in Bulk for Greater Matching Confidence
Last Updated on January 2, 2026 The data that flows into your organization comes in a variety of formats: inconsistent capitalization, punctuation, obscure acronyms, alpha-numeric
What Does Data Quality Mean for Your Data Warehouse?
Last Updated on March 30, 2026 Every year, organizations invest millions into data warehousing projects, often to see them falter due to bad data. Whether
Entity Resolution for a Single Customer View
Last Updated on May 25, 2026 “The ability to view the customer through a single lens enables critical measurement, optimization, efficiency, and personalized use cases.”
Data Cleansing Tools: Improving Analytics and Business Intelligence with Clean Data
Last Updated on April 17, 2026 To understand and respond to trends that impact business performance, it’s critical that you know where to find corresponding
Data Cleansing in the Data Warehouse: The Code-Free, Automated Approach to Maintaining Your Single Source of Truth
Last Updated on January 11, 2026 Imagine investing millions into a cutting-edge data warehouse only to have faulty data corrupt every insight, decision, and action.
Salesforce Data Cleansing 101: The Comprehensive Guide to the “Why” and “How” of Data Quality in Your CRM
Comprehensive Salesforce data cleansing guide filled with actionable solutions that can help you reduce wasted costs and increase revenue NOW!
3 Ways Data Cleansing Software Can Help Increase Your Marketing ROI
Last Updated on January 9, 2026 “It takes $1 to verify a record as it’s entered, $10 to cleanse and dedupe it, and $100 if
Unlock New Business Opportunities by Improving Data Quality
Last Updated on January 9, 2026 As villains continuously strive hard to demoralize the hero in your favorite movies and books but never succeeds, similarly,