Learn from experienced data practitioners

With the right applications, data mining can lead to strong business growth. Here are 9 that boost revenue and delight customers.

Text mining is a complex process that requires the right tooling. Here are 10 of the best tools we've found, both free and paid.

Academic journal publishers face a lot of challenges when integrating data from multiple sources. Here's a breakdown.

Data management is an old practice, and that's what makes it prone to sluggish performance. Here's how to change that with agile.

Data mining has a long history in IT, but pure text mining is also growing. Here are the differences between the two practices.

A semantic data layer provides a contextual view of your data to help you extract meaning from it. Here's how it can benefit you.

Semantic data models help you discover valuable real-world relationships. Here are 3 examples of how you can use these models.

Agile has been around for a while, but it doesn't apply only to software. Here's a great framework for your data governance too!

The data discovery process makes data meaningful by finding hidden patterns and trends. Here is a 5-step guide on how it works.