How Enterprise Search can Help You Solve Real Business Challenges

Enterprises today deal with an insurmountable volume of unstructured data that is constantly increasing. Data is collected from a variety of sources, including emails and social media, and is presented in a variety of formats

Fremont, CA: Enterprise search has come a long way, and the enterprise search of today is a far cry from the enterprise search of the early 1990s. Today, a slew of technologies have made their way into the world of enterprise search, all with the goal of making it better and more effective. Semantic search, artificial intelligence, as well as Natural Language Processing (NLP) are just a few of the game-changing technologies that have changed the way we search.

In this article, we will look at a few real-world challenges faced by businesses around the world:

Insufficient Information about User Search Behavior

The search log of an enterprise search tool contains the key to user search patterns as well as a wealth of other information about user search behavior. Skimming through seemingly endless logs for important information, on the other hand, is a laborious and time-consuming task that is nearly impossible to complete manually. As a consequence, organizations fail to realize the value of this data and gain insights from it.

Untapped Potential of Unstructured Data

Enterprises today must deal with an insurmountable volume of unstructured data that is constantly increasing. Data is collected from a variety of sources, including emails and social media, and is presented in a variety of formats. This jumble of data can be extremely beneficial to an organization in a variety of ways, but the biggest challenge is analyzing it to recover the insights hidden within. The enormous potential of this data is lost in the absence of efficient search tools, as the traditional search approach has little effect on unstructured data.