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For individuals, the word ‘search’ is synonymous to web search, or to be more precise, platforms like Google and Yahoo. These platforms primarily rely on a keyword based approach which involves fetching results that contain the keyword entered by the user. This approach mostly works great for the Web as the content of the Web is optimized.

However, when it comes to the unorganized, non-optimized and unstructured enterprise data, the keyword based approach falls flat. This is where the need for an advanced tool comes in, which can analyze unstructured data and derive information hidden within. Every business today faces challenges of dealing with unstructured data and the new age enterprise search engines are the solution we need.

Enterprise search engine is a tool used for the purpose of helping enterprises analyze data and these tools have come a long way in the last few years to evolve into the new age tools that we have today. Platforms like 3RDi Search, Coveo and Commvault offer navigation, relevant information discovery and advanced search capabilities.

Gaining relevant insights from unstructured data is of the highest importance for insightful business growth strategies, and today’s enterprise search engines have evolved to cater to this need.

For starters, enterprise search today is all about getting the most relevant results in the shortest time. The introduction of semantic technology has made it possible to fetch the most accurate results, through synonym search and also through understanding the user intent behind the query. It increases the scope yet cuts down the noise.

Customization is another feature that makes the new age platforms more evolved than their earlier counterparts. The tools available today can be customized to cater to the needs of every business, big or small. This makes them the best solution for even the most advanced business requirements and at the same time, they can be used for basic purposes as well.

What really makes the new age enterprise search engines stand out is an intuitive user interface that makes it easy for anyone to learn to use the tool in no time. The short learning curve of these tools makes it easy for organizations to implement enterprise search without spending too much time and effort in training. The simple user interface makes it easy for the employees to witness its benefits faster, which leads to greater acceptance.

Businesses grow and with the large volumes of data, it can get really difficult to upgrade to a new system to keep up with the changing needs of a business. The enterprise search engines we have today offer easy scalability to resolve the issue. The tools can be scaled up or down to accommodate the change in business needs. So, businesses need to make a one-time investment in a tool and can rest assured that it will serve the purpose even years down the line.

Search logs hold huge volumes of information that can be tapped into for useful insights to learn about user behavior, search patterns and more. The analytics feature is what businesses need to gain the relevant insights to frame business strategies.

So, you see that there are many ways in which the modern enterprise search engines are designed to cater to the evolving needs of the modern businesses. No wonder, every business out there is investing in enterprise search platforms to experience the multi-faceted benefits.

Today, we are living in a time when information is growing at an astounding rate. Managing this information effectively in order to derive useful insights from it is a challenge organizations are facing today. While data management has emerged as a universal challenge that is affecting organizations across every sector, the industries that focus on intensive scientific research are the ones for whom this acts as the biggest challenge. These industries, which include pharmaceuticals, chemical manufacturing and healthcare, can benefit immensely with the application of semantic search – the technology that has the power to turn unstructured data into structured data and fetch the most accurate and relevant results. ResearchNet is one such platform for researchers that is powered by 3RDi Search – a semantic search based platform.

1] To Enhance Possibilities of Early Phase Research

The use of semantic search technology can help bio-medical researchers stumble upon potential biomarkers and drug targets which they had no knowledge of earlier. This is possible because semantics enhances the scope of search. The insights thus gained can be used to formulate initial results prior to conducting lab testing.

2] To Get a Better Understanding of the Competition

When you are armed with a technology that allows you to find more and more information, you can use it to get a deeper understanding of the market trends as well as what your competitors have worked upon, including their patent filings. The technology can also be used to study non-patent literature in order to gain complete understanding. This helps organizations to get a clear picture of what patents have been already filed for and the work that is currently being carried out in the industry, which can be useful for purposes like patent landscaping.

3] More Effective Monitoring of Medical Literature

Since semantic search makes information retrieval quick and accurate, it can be used to make the process of monitoring medical literature – known as pharmacovigilance – more precise. With the use of semantic technology, it is possible to delve deep and discover how adverse events can ve related to pharmacological substances. Overall, the efficiency of managing workflows improves drastically with the implementation of semantic search.

4] Makes it Simple to Discover Chemical Compounds

As discussed earlier, semantic search is what organizations need to retrieve information from a wide range of sources, including journals, scientific papers, medical archives and more. This ease of finding information makes it possible for researchers to find more information in less time and learn about chemicals, drugs and other scientific substances using well-established ontologies.

5] To Enhance the Productivity of Researchers

The use of semantic search leads to a boost in the productivity of researchers working on a project. As we have seen earlier in the article, semantic search is highly relevant. Not just that, these tools work real fast tp produce the accurate results that the researchers seek. This makes the research process faster, which in turn leads to a boost in productivity.

The capabilities of semantic search tools provide a lot of benefits to researchers and the research intensive industries. Also, this is just the beginning as semantic search still has a long way to go and the future holds way more possibilities.