In today’s landscape, there’s nothing more important than valuable information. Companies receive information in the form of digital data or content, more commonly in the shape of performance and user metrics. By using this information, businesses can improve existing strategies, come up with new more successful solutions and better serve their audience.
The entire operation that involves collecting data, processing it and then putting it to use is called business intelligence. But even when teams are not actively working with data, it’s still collected and stored. With each visitor to a company website, for example, the network collects user behavior details, emails and contact info and much more.
To make use of this data it must be processed and analyzed, often referred to as “mining.”
What Is Data Mining and Why Does It Matter?
Raw data, on its own, is generally useless. The content is stored in massive troves called databases and tends to be so enormous there’s no way to accurately view it as a whole without first “mining” or processing it.
All collected information at the enterprise level is stored in something called a data warehouse. It’s nothing more than a remote server farm or storage service, and it can be either in-house …