More than 55% of organizational data worldwide is dark, meaning it’s collected, processed, and stored, but never used. But over 80% of business leaders believe
Two months of late nights, duplicate purges and spreadsheet firefights – all to get the CRM, ERP, and marketing database back in sync. For a
When your data lies, who pays the price? You. Imagine this: You spend days cleaning the data and building reports, and then when you finally
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
When AI systems deliver inaccurate or inequitable results, many people immediately assume that something went wrong in the algorithms. Rarely do we look upstream –
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
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
In May 2023, Meta Ireland was fined € 1.2 billion ($1.3 billion) – the largest GDPR penalty ever – for violating its data privacy laws.
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
Combining data from different tables is crucial for accurate analytics. This article covers strategies for effectively combining data from different tables, from SQL joins to
Summary: Data matching connects records that belong to the same entity across different systems, formats, and datasets. This guide helps data practitioners and business users
Data matching helps ensure that disparate data sources are accurately aligned, cleansed, and ready for use. And that’s where an effective data catalog becomes essential
Data Ladder offers an end-to-end data quality and matching engine to enhance the reliability and accuracy of enterprise data ecosystem without friction.
