Significance of Search Analytics for Enterprise Search Software

As organizational data continues to rise in volume exponentially, there is a growing need for advanced technology for data analysis and derivation of meaning and insights from it. In the times of Big Data, businesses need to adapt a data-driven approach when it comes to business operations. Currently, the data gathered by enterprises is derived from various sources, and also consists of multiple formats – text, images, doc, pdf, etc. – all of which is collected together to form a chunk of unstructured data. The word used to describe this is unstructured data because it consists of random data which is unoptimized. This unstructured data cannot be analyzed using traditional methods of search.

This is where new age advanced enterprise search tools come to the rescue. 3RDi Search is one example of such a tool that offers every text mining capability one can ask for and is powered by NLP and AI. Commvault is another example that is designed for advanced analysis of unstructured data.

However, the role of the enterprise search software is more than just analyzing the unstructured enterprise data. Search in itself leads to generation of a lot of data which can offer key insights on user behavior and trends, when analyzed effectively. This is why search analytics is required. Here’s why search analytics is a key feature of enterprise search software.

Why Search Analytics is Significant

Enterprise search software must include search analytics as a feature because it is key to the performance analysis of the software and for analysing user behavior as well. What makes it important is that the data one gets from analyzing search logs can be instrumental in business decision making. These decisions can be about improving the search relevancy and decisions involving the site design and its effects on the user experience.

Also, analyzing the logs with search analytics can help the business decide on which information is the most relevant for the user, as well as the topics that are the most popular among the users.

Another prime aspect of the significance of search analytics is that it helps in measuring or figuring out the performance of the enterprise search platform that users interact with. After all, with the user experience at stake, it’s important to keep a tab on how well the platform performs, and how fast. It’s the only way to measure the performance of the platform, other than the feedback shared by the users themselves, the latter being subjective due to individual perception and what the users expect. At the end of the day, an enterprise text analysis software is like any other software that is expected to meet the standards of performance and quality checks, which makes search analytics a key feature to consider.

Given belowis how search analytics can help:

• Search traffic volume
• Percentage of queries with no results fetched
• Results with maximum clicks
• Results with no clicks
• Queries and terms most popular with the users
• Demography of the user 

So, we see that search analytics does have a major role to play in order to enhance the user experience of the users using the enterprise text analysis tool. This way, enterprises find it easy to analyze search logs and gain insights that are of great significance. Using search analytics, businesses today get the power to make the most of the huge volumes of data more effectively was ever possible.