Step: 1 Clean Your Data Junk data is part of life, especially with qualitative (text-based) data. Before you hit “upload” to your analytics platform, find and strip out low- or no-value data. You’ll ...

Organizations with structured data in data warehouses and unstructured data in data lakes may require different tools for analyzing and managing data.

Visualization tools can support data from multiple sources and join or overlay the results, providing companies with a way to extract meaningful business intelligence from unstructured data.

Competency: Understanding that advanced tools like artificial intelligence (AI) and natural language processing (NLP) hold the key to unlocking unstructured data at scale, readying it for insights ...

Exploiting unstructured data This raises some issues for organisations that need to process and exploit unstructured data.

Sure, you've got lots of information. Your servers are full of information. The problem is, how do you deal with it? W.H. Inmon, the father of data warehousing, provides some thoughts on that.

Companies rarely use technology to effectively identify risks beyond those related to business and transaction processing in financial and operating system internal controls. This article provides ...

Dell PowerScale storage technology enables better analysis of vast troves of unstructured government data.

Today's Forbes CIO newsletter focuses on using the troves of unstructured enterprise data you have, applying AI to find deeper insights and getting buy-in from employees.