Resources
Blogs
The Advantages of Cleaning Data Stored Across Cloud and On-Premises
Last Updated on December 16, 2025 A large number of organizations these days are transferring their data to a cloud-based storage setting. However, the
Data Wrangling Solutions – Making Successful and Resourceful Consumer Behavior Analysis Possible
Last Updated on December 19, 2025 The key to reducing consumer churn, attracting new consumers, and improving the prospect of upselling or cross-selling within
Network Optimization with Expected Performance – A Benefit of Data Wrangling For Telecom Providers
Last Updated on December 19, 2025 The largest telecom operators are those who are providing the customer service at par excellence, at scale, with
Optimize Your Analytics Tools Investments with Data Wrangling
Last Updated on December 19, 2025 There has been a substantial stress in the current landscape of data analytics. The massive volume of data
Why Data Cleansing is Essential for a Successful ERP Implementation
Last Updated on June 25, 2026 A recent Gartner study predicts that more than 70% of recently implemented ERP initiatives will fail to fully
ETL vs. Data Preparation – What’s Right for Your Business
Last Updated on December 19, 2025 What if the very process you rely on to manage your data is holding your business back? Extracting
How You Can Leverage Your Data As A Competitive Advantage?
Last Updated on December 19, 2025 Most of the well-experienced business leaders in the current era totally comprehend the importance of the data as
Preparation of ‘The Data’ – Why Do I Need It and Why Now
Last Updated on January 9, 2026 The world you live in today is not the same world you lived in a few years back.
Undeliverable Mail: Sometimes It’s Not Canada Post’s Fault
Last Updated on January 9, 2026 Consider this, just because your business thinks your addresses are valid – doesn’t mean your mail is deliverable.
Data Cleansing and Quality of Record Linkage
Last Updated on January 9, 2026 Record linkage is a method used to link the data records to the same entities, such as customers.
Data Matching Applications: Complete Guide for 2026
Last Updated on April 14, 2026 Most organizations are working with the same customer in three different databases and don’t know it. Data matching
THE IMPACT OF DATA MATCHING ON THE WORLD OF FINANCE
Last Updated on February 4, 2026 In today’s fast-paced technological environment, the success of every business relies on a data-driven model. However, achieving this
Importance of Data Cleansing in the Process of Record Linkage & Entity Resolution
Last Updated on February 4, 2026 What is Record Linkage? The process of collecting all data associated with a single person that is scattered
The impact of poor data matching on Marketing Campaigns
Last Updated on February 24, 2026 Data matching plays an important role in helping marketing managers to devise marketing campaigns. With the advent of
The Role of Data Matching in Fraud Prevention
Last Updated on February 27, 2026 Quick Summary Organizations lose 5% of revenue to fraud annually—$5.38 trillion globally [ACFE, 2024]. Companies using data matching
Customer Retention vs. Customer Attrition: How Clean Data Tips the Balance
Last Updated on March 5, 2026 Here are the customer retention and attrition statistics that should be shaping your strategy right now: Customer churn
Pattern Builder in DataMatch Enterprise: Data Parsing & Standardization for Better Matching
Last Updated on March 6, 2026 In enterprise data environments, matching accuracy doesn’t begin with algorithms. It begins with clean, well-structured input data. Before fuzzy matching,
ZIP+4 Lookup and Validation: How to Add, Verify, and Clean ZIP+4 Codes
Last Updated on May 25, 2026 ZIP+4 lookup is the process of appending the correct four-digit add-on to a five-digit ZIP code to identify
How Poor Data Quality Increases Data Breach Risk And How to Fix It
Last Updated on March 17, 2026 Most conversations about data breaches focus on what happens after an attacker gets in: stolen credentials, ransomware, patching
What AI-Ready Data Actually Looks Like (and Why Most Enterprise Databases Aren’t There Yet)
Last Updated on March 25, 2026 Most organizations assume their data is good enough for AI. It usually isn’t. A 2024 study by Precisely