5 Major Benefits of Semantic Search Engine in Enterprise Search

What is enterprise search? It can be defined as the process of searching organizational data for documents, files or any other content. What makes it different from web search, is the fact that enterprises today have enormous volumes of data that come from various sources and are in multiple different formats. This makes it difficult to find information using the traditional keyword based search approach. While the keyword based approach finds results that match with the keyword in the query, semantic search is an altogether different approach and has proven to be far more effective when it comes to unstructured data.

Now, enterprise data or the data that organizations deal with, is mostly unstructured and is not optimized to keywords as web content is. This is the reason organizational data cannot be analyzed using the keyword based approach. In such a scenario, a semantic search engine comes to the rescue and helps enterprises make it possible for users to get access to the most relevant results in the shortest time. Some examples are 3RDi Search, Coveo and Commvault. But what exactly are the benefits that semantic search brings? Given below are the 5 key benefits.

1] Makes the Search Process More Efficient

One of the biggest benefits is that it makes the search process more efficient. In other words, it allows users to find the results faster. So, it becomes easier for users to find the maximum results in the least amount of time and also with the least efforts. This increases the efficiency of the process and makes it more effective.

2] Makes it Possible to Analyze Unstructured Data

This is one of the biggest benefits of a semantic search engine. Unstructured data is defined as data that consists of information in various formats and is sourced from various channels. Since it is data that is not optimized, it is not possible to analyze it using the traditional keyword based approach.

3] Increases Search Relevancy

When it comes to search results, quality is far more important than quantity. This is exactly what semantics is all about. The technology ensures the users not just get large number of results but also get the results that are most relevant to what they are looking for. This is termed as search relevancy and when it improves, users can even get results that are relevant to them but they never knew existed.

4] Improves Business Intelligence

Organizational data, though mostly unstructured, contains large quantities of insights that are not possible to derive using the conventional keyword based method. However, the data holds insights that can prove to be instrumental in decision making and in fueling the growth of the business. The semantic search engine uses semantic technology to unravel these insights which can then be used for decision making.

5] Allows Users Access to More Data

With a semantic search engine, users can get access to data that was not accessible with the keyword based approach. This broadens the spectrum or horizon of search, which in turn can be immensely useful to a user who is looking for exhaustive information on a specific topic.

A semantic search engine is indeed powered by the technology required to enhance the search experience for users. And what enterprises need today is a software that maximizes the experience and provides the insights that are required to take breakthrough business decisions.