Why Search Analytics is an Essential Feature of Enterprise Search Software

As the volume of organizational data continues to rise, there is an increasing need for advanced technology to analyze this data and derive meaning and insights from it. Today is the time of Big Data and businesses are increasingly moving towards data-driven approach to business operations. In the present scenario, the data that enterprises gather is derived from different sources, and also the data consists of various formats – text, images, doc, pdf, etc. – all of which is collected together to form a chunk of unstructured data. It is referred to as unstructured data as it is a collection of random data that is not optimized. This unstructured data cannot be analyzed using traditional methods of search.

This is where there comes the need for the new age advanced enterprise search tools. 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, analyzing the unstructured enterprise data alone is not something that an enterprise search software can get away with. The process of search itself generates a lot of data that has the potential to offer useful insights on user behavior and trends, if analyzed effectively. This is where search analytics comes into the picture. This article looks into why search analytics is an important feature of enterprise search software and how it helps the enterprise.

Why Search Analytics is Essential

The reason enterprise search software should have search analytics as a feature is the fact that it is essential to analyze the performance of the software and to understand user behavior. It is essential because the data derived from analyzing search logs can be instrumental in decision making. These decisions include improving the relevancy and decisions that involve the design of the site and how it affects the user experience.

In addition to this, there is also the fact that analyzing the logs with search analytics can help the business figure out which information is the most sought after, as well as the topics that are the most popular among the users.

Another key aspect of the importance of search analytics is that it helps in determining the performance of the search platform. After all, with so much information involved, keeping a tab on how well the platform is performing, is essential. 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 expectations of the users. After all, an enterprise text analysis software is just another software that is subjected to performance and quality checks, and so search analytics becomes a key feature to look for.

Here are some insights that search analytics can offer:

• Results that receive zero clicks
• Most popular queries and terms typed in by the users
• Percentage of queries that fail to fetch any results
• Results that received the maximum clicks
• The demography of the users
• The volume of search traffic

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. It makes it easier for the enterprise to analyze search logs and derive insights that truly matter. With search analytics, enterprises get the power to make the most of the large volumes of data more effectively than ever possible.