Informatica MDM and Data Ladder are both data quality solutions. Discover which tool best fits your organization's needs for data quality by reading this comparison.

In predictive modeling, future events are predicted based on statistical analysis. Read this guide to understand how predictive modeling works and how it can benefit your business.

Data mining tools can collect and analyze data in much the same way a human can, but much faster. Learn what data mining is, how it works and how to use it effectively.

Data Ladder performs data quality reviews as a service to ensure your data is clean, complete and accurate. Discover more now.

Data cleansing is a process by which a computer program detects, records, and corrects inconsistencies and errors within a collection of data.

Data observability tools allow you to monitor what is happening to your data. Here is a list of the top data observability tools of 2022.

Data integration is the process of combining data from multiple sources into a single target data store. Learn more now.

Data observability is the quality of making data sets and their metrics visible to appropriate stakeholders. Learn reasons data observability is beneficial.

Data stewardship and data governance are essential concepts for companies with a growing volume of data. This article compares these approaches to data management.

Is it better to monitor for quality or detect problems? It depends. Here's how to choose between active and passive data governance.