SAS Data Quality can match data. But can you tune the logic? Audit the match? See exactly why two records linked – and change that
Choosing a data quality platform is never straightforward. On one side, you have feature-rich platforms like Ataccama that promise comprehensive data governance, observability, and master
Truth You Can Trace – Not Just Trust “Trusted data” is a goal many data platforms claim (and aim) to deliver – and Syniti is
When teams inherit messy data with a mandate to fix it fast, many turn to well-known enterprise platforms like IBM InfoSphere QualityStage. It’s powerful, proven,
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
Data quality is no longer a luxury. As organizations grapple with fragmented systems, duplicate records, and poor data trust, the debate isn’t just about who
Alteryx built its reputation as a powerful analytics and automation platform. But when the problem isn’t just workflow inefficiency – it’s unreliable, inconsistent, duplicated, or
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
Data Ladder vs. Databricks for Data Matching Organizations dealing with vast amounts of data require reliable, transparent, and efficient data matching solutions to ensure 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
In May 2023, Meta Ireland was fined € 1.2 billion ($1.3 billion) – the largest GDPR penalty ever – for violating its data privacy laws.
Data Ladder offers an end-to-end data quality and matching engine to enhance the reliability and accuracy of the enterprise data ecosystem without friction.
