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3 Ways Data Cleansing Software Can Help Increase Your Marketing ROI
Last Updated on October 18, 2022 “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 October 7, 2022 As villains continuously strive hard to demoralize the hero in your favorite movies and books but never succeeds, similarly,

How Data Quality is an Important Data Lake Ingestion Challenge & What You Can Do to Ensure Your Data Lake Project is a Success
Last Updated on August 10, 2022 Data lakes were formed as a solution to storing unstructured data – an alternative to the restrictive nature of

Self-Service Data Preparation for Analytics Modernization
Last Updated on August 11, 2022 Different changes in the world of data have allowed organizations to manage their day-to-day requirements while preparing for big

The Advantages of Cleaning Data Stored Across Cloud and On-Premises
Last Updated on June 10, 2022 A large number of organizations these days are transferring their data to a cloud-based storage setting. However, the transition

Data Wrangling Solutions – Making Successful and Resourceful Consumer Behavior Analysis Possible
Last Updated on April 25, 2022 The key to reducing consumer churn, attracting new consumers, and improving the prospect of upselling or cross-selling within existing

Network Optimization with Expected Performance – A Benefit of Data Wrangling For Telecom Providers
Last Updated on August 11, 2022 The largest telecom operators are those who are providing the customer service at par excellence, at scale, with effective

Optimize Your Analytics Tools Investments with Data Wrangling
Last Updated on August 18, 2022 There has been a substantial stress in the current landscape of data analytics. The massive volume of data these

Why Data Cleansing is Essential for a Successful ERP Implementation
Last Updated on March 12, 2025 A recent Gartner study predicts that more than 70% of recently implemented ERP initiatives will fail to fully meet






























