To derive insights from this data, enterprises would need a new age enterprise search software that offers every possible text mining service that is required for analysis of the unstructured enterprise data. 3RDi Search is a platform that offers an array of data mining and text analysis functionalities for search and associated needs of enterprises. Another such platform is SwiftyPe Search which also offers multiple functionalities for text mining and data analytics.
This article takes a look at how an enterprise search software works to ensure businesses never fall short of making the best use of their data.
1] Data Collection
Data collection comprises the very first step of the data analysis process within an enterprise search software. As the name suggests, it’s all about collection of data from multiple sources, which ranges from websites, databases, directories and emails. New age enterprise search software is designed to automatically collect data at regular intervals in order to make the best use of it.
2] Indexing of Data
The first step being the collection of data, the next step is to accumulate and analyze the data in order to create an index that can be used to sift through the content and understand what’s in it. It is in this step that concepts like metadata extraction and content summarization come into play. Content can be analyzed only after one is aware of what’s in it.
3] Query Parsing
Once the index is created, the next step is all about analyzing the user query using technology like Natural Language Processing (NLP). Query parsing is the very first things that the enterprise search platform performs when the user enters the query. The process of parsing is all about the system analyzing the query in order to make the most out of it.
4] Running of Query Engine
The enterprise search software today has built-in semantic search technology which serves the purpose of analyzing the query entered by the user. Once the user’s query is coded into the system in terms of machine language, the query is then run through the database created beforehand, in order to find the data or results that best match the user’s query. It is important to note that this matching that is being carried out is not on the basis of semantic technology and not the traditional keyword matching.
5] Post Processing Phase
The post processing phase begins after the query is processed and the relevant results are found for the query. This stage is all about sorting the results derived on the basis of search relevancy or on the basis of any other parameter as mentioned by the user. It is in this phase that clustering and categorization of search results is required.
Last but not the least comes formatting which is the final stage in the enterprise search process. In this stage, the enterprise search software uses NLP to convert the results into the human language that will be understood by the user. It also involves presenting the results to the user in a format that is easy to understand.