Resources
Blogs
The Truth About Data as a Service (DaaS): Why It All Breaks Without Data Matching
Everyone’s Talking About DaaS, Few Are Ready for It The concept of Data as a Service (DaaS) is having its moment. On paper, it’s easy
Big Data Analytics Is Booming – But Is Your Data Ready for It?
Amazon generates 35% of its revenue from data-powered recommendations. Netflix enjoys an 89% retention rate by personalizing every experience using viewer behavior, preferences, and interaction
Data Ethics in the Age of AI: Why Responsible Matching Matters More Than Ever
When AI systems deliver inaccurate or inequitable results, many people immediately assume that something went wrong in the algorithms. Rarely do we look upstream –
Why Data Interoperability Challenges Are Holding Back Your Insights – And What to Do About It
Every modern organization thinks it’s interoperable—until the data says otherwise. Your systems are technically connected. APIs are firing. Data is flowing. But when you zoom
Why Data Governance and Stewardship Are the New Cornerstones of Business Strategy
64% of organizations manage at least 1 petabyte of data and 41% manage at least 500 petabytes. But fewer than half (49%) of data practitioners
Empowering Teams Through Data Democratization: The Role of Clean and Matched Data
Everyone says data is power. But let’s be honest: in most companies, data is politics. It’s locked in tools no one understands, hoarded by teams
How APIs Enable Integrated Real-Time Data Processing
76% of business leaders say the ability to access and analyze data in real-time is critical to business performance, but only 33% report having mature
Artificial Intelligence & Data Quality: What’s Changing, What’s Not, and Why It Matters
AI can now write essays, generate images, answer questions, and even make predictions. But can it fix your dirty data? Every business leader knows that
How Data Matching Simplifies Data Privacy Compliance
In May 2023, Meta Ireland was fined € 1.2 billion ($1.3 billion) – the largest GDPR penalty ever – for violating its data privacy laws.
Cloud Storage and Data Management: How to Ensure Data Quality and Usability Across Platforms
The cloud is limitless but without clean data, your growth isn’t. Cloud storage provides unmatched flexibility and scale, but it also brings new challenges. One
Exploring Data Lakes: Advantages, Challenges, and Implementation Tips
Imagine walking into the world’s largest library where millions of manuscripts are stored – but there’s no catalog. Somewhere in that sea of information lies
Best Practices for Effective Data Preparation in the Age of Big Data
About 68% of enterprise data goes unleveraged. Why? Because 90% of data is unstructured, making it difficult – if not impossible – to extract actionable
Why Your Business Needs a Single Source of Truth for Better Data Management
97% of organizations aim to become more agile in data management. However, 79% of employees say that teams across their organizations operate in silos, which
Achieving a 360-Degree Customer View: Challenges, Benefits, and Solutions
Customers expect businesses to know them – completely. However, only 14% of organizations had achieved a 360-degree view of their customers by 2021, according to
How Digital Transformation is Redefining Business Intelligence with High-Quality Data
Billions of dollars are spent annually on business intelligence (BI) tools, with the promise of driving smarter, data-driven decisions. But for many organizations, these investments
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
