Semantic search has been instrumental in redefining the enterprise search experience. With rapid advancements happening in the field of semantics, enterprise search is evolving fast and how! With all the benefits that it brings to the search experience, enterprises across the globe are jumping into the semantic search bandwagon. In such a scenario, it’s time your enterprise also harnessed its power in order to effectively manage organizational data and get relevant insights to form informed business decisions to help you stay ahead in the game.
Biggest Challenge in Enterprise Search
Most enterprise owners ask me why is it so essential to add that element of semantics to search. Why the traditional search approach is not enough, they wonder. To understand the need, we must first make ourselves aware of the fact that most of the data in enterprises is unstructured and the biggest concern with unstructured data is that it cannot be analyzed using the traditional search approach, as it is not optimized. Add to it the fact that unstructured data is growing at an enormous rate and enterprises today need an approach to work with this ever increasing unstructured data and work very fast.
The Power of Semantic Search
Semantic search is the answer to the challenges above, as it focuses on fetching results on the basis of the meaning of the search term or the intent behind it, instead of searching for results on the basis of matching a string of words or phrases. To make this possible, it uses Artificial Intelligence (AI), Natural Language Processing (NLP) and other technologies. Using this approach, it is possible to widen the scope of search and fetch results that are beyond the scope of traditional keyword based search.
Since enterprise data is mostly unstructured and comes from different sources, such as emails and even social media, semantic search can be a boon for enterprises to help them gather relevant insights from unstructured data that can be used in strategic decision making. When it comes to unstructured data, which is not optimized with keywords, it wins hands down and offers the following key advantages.
It is all about a context-based approach that is effective in fetching results that are highly precise and relevant.
Speed is another key advantage as it fetches results much faster when compared to traditional search approach.
The use of Natural Language Processing (NLP) makes it easy for the search tool to understand and process user queries far more accurately.
The use of Artificial Intelligence (AI) enhances the user experience and redefines the way users interact with the search tool.
Its ability to derive insights and information from unstructured data provides enterprises with the insights they need for strategic decision making and to make the business grow. It helps businesses unleash the potential of unstructured organizational data.
Bringing the Power of Semantics to Your Business
Now that we are aware of the power of semantic search and how it can benefit your business, the next logical step is to explore the possible ways to make your business benefit from it. Well, the good news is that it is easy and all an enterprise needs to do is get a new age enterprise search tool that is powered by semantic search.
There are quite a few such tools available in the market and 3RDi Search and Coveo are good examples. These tools are built using the most advanced search technology and they are designed to cater to all search and associated needs of enterprises. 3RDi Enterprise, for example, comes with a powerful text mining engine known as the Retina API that comes with a complete list of text analysis capabilities.
The Final Word
Every enterprise today needs to harness the power of semantic search in order to make the most out of the unstructured data in their organization. No wonderFree Reprint Articles, it is growing in popularity across the globe and is playing a key role in gradually redefining the way we look at enterprise search.
Article Tags: Traditional Search Approach, Semantic Search, Enterprise Search, Traditional Search, Search Approach, Unstructured Data, Search Tool