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Eliminate Undeliverable Mail and Boost Business Efficiency with CASS Address Validation
Picture this: a thriving eCommerce business prepares for the holiday rush, confident that its marketing campaign will deliver record-breaking results. But as packages roll out,
Top 13 Data Quality Challenges for IT Services Companies and How Data Ladder Helps Resolve Them
The global IT services market is on track to nearly double over the next decade, growing from USD 1.40 trillion in 2023 to a projected
Maintaining Data Integrity Post-Migration in Security Operations
Cloud adoption promises to unlock $3 trillion in global business value by 2030. However, as a McKinsey report highlights, many organizations are losing their share
Mitigating Investigation Risks: The Essential Role of Data Profiling and Cleansing
In 2024, National Public Data, a prominent background check and fraud prevention service, made headlines for all the wrong reasons. Over 2.7 billion records containing
Why Data Quality Is the Foundation of Effective Compliance in Security and Investigations?
Imagine a fortress where every brick represents a piece of your organization’s data. Now, picture some bricks riddled with cracks and inconsistencies. Despite its imposing
How Data Deduplication Streamlines Investigations and Reduces Risk
In a survey conducted by Validity, 44% of the respondents revealed that duplicate data significantly impacted their ability to fully leverage their CRM systems. Now,
Mastering Data Integrity: How Record Linkage Can Transform Security and Investigations
With data breaches exposing more than eight million records worldwide just within the last quarter of 2023, an average data breach costing around USD 4.45
12 Challenges in Financial Data Migration and How IT leaders Tackle Them
12 Challenges in Financial Data Migration and How IT leaders Tackle Them Data migration projects are notorious for either going over budget or failing to
The Impact of Data Quality on Financial System Upgrades
The Impact of Data Quality on Financial System Upgrades Imagine losing 31% of your revenue due to poor data quality. For financial services, this isn’t
