In fact, there’s a long history of the “Information Pyramid,” of Data – Information – Knowledge – Wisdom; it’s probably more applicable today than ever.

The representation of the relationships among data, information, knowledge and -- ultimately -- wisdom, known as the data pyramid, has long been part of the language of information science.

The data-information-knowledge-wisdom hierarchy seemed like a really great idea when it was first proposed. But its rapid acceptance was in fact a sign of how worried we were about the real value ...

Although data is made up of information, information is not always data. A wise person also has information, which in turn is data, but, for example, wisdom is not necessarily knowledge.

Data > Information > Knowledge > Wisdom (DIKW) model Even though an organization must use data and information to know sooner and know better, this leaves out a significant piece of the picture.

Sharing Data and Wisdom Deepak Jose’s talk at the annual MSiA Analytics Exchange focused on the vital role data product managers have in handling the massive amount of information at their fingertips.

But what about the interpretation of this information? Is it objective? It is important for investors to distinguish between the different levels that represent data, information, knowledge and ...

As leaders carving paths in an information-saturated era, our mission is clear: to sift through the noise, distill knowledge from raw data, and, most critically, apply what we know with wisdom.

Crafting a future wherein people are neither traded commodities nor the serfs of machines requires wisdom. Let us turn to wisdom – wisdom that should be treasured in a data-besotted world.