Data analytics is the science of analyzing raw data to make conclusions about that information. It helps businesses perform ...

We look at alternatives to relational databases that have emerged to help bring some structure to unstructured data and gain valuable insight by making it semi-structured.

Unstructured data refers to information that does not have a predefined data model or organized format, making it more challenging to store, process, and analyze compared to structured data ...

The distinction between structured and unstructured data is important because automated reasoning, one of the pillars of Web 40.0, requires both kinds of data analytics.

Quantzig breaks down the distinct differences between structured and unstructured data in its recent article.

In the past, companies have maintained data warehouses filled with “structured” data. This is information such as credit card transactions and customer records that was kept in transactional ...

Digital Reef plans to manage unstructured and semi-structured data, that is data not already managed by database management systems, by helping large enterprises deal with key business issues that ...

Companies are beginning to realize the value they can gleam from data gathered via e-mail, telephone conversations and the like, says an industry veteran.

As with structured data, simply collecting unstructured data won’t get you the insights you need. Even unstructured data has to be properly organized.

Having access to this data gives you valuable insight into where your company is doing well or falling short, empowering you to take steps to address bias within your organization.