In any organisation, site search effectiveness greatly impacts business productivity. You should realise that the number of unstructured contents continues to rise. With this, only companies that are able to make the best of their intellectual capital will gain an edge.
The IDG (International Data Group) revealed that unstructured data is increasing by 62% every year and it will continue to increase over the next five years. This stresses the importance of getting a handle on unstructured data now. With this, it is crucial that you have a search engine that will support your strategy to handle unstructured data.
If in this case you are in the process of migrating to a new search engine, there are factors that you should consider to evaluate your search engine needs. Your goal here is to find the ideal search engine that best fits your business objectives. Here’s how to evaluate search engines based on your needs:
Determine the core technology
The first thing that you need to do is to determine the core technology or base programming technology. Is it open source or commercial? If you want an open source, you should consider the Elasticsearch PHP tutorial. Elasticsearch is released under the terms of the Apache license.
Its official clients include Java, .NET, Python, Ruby, Apache Groovy and many other languages. You have to know that Elasticsearch is the most popular enterprise search engine followed by Apache Solr.
Check the scalability
Scalability refers to the ability of a site to increase in size as the demand arises. Whether it is open source or commercial, search engines have the ability to scale up millions of documents. To find the right search engine, you have to check the scalability. You want a search engine that can handle higher data volumes.
Whatever enterprise you have, you need to ensure that your search engine provides the flexibility needed to achieve optimum performance, especially when dealing with your connectors.
This way, you can thoroughly maximise your discover, data aggregation and analytics potential. You have to understand that it is crucial to know what connector types and the particular connector solutions based on your needs.
Deliberate the content processing
Content processing is a vital function of any search engine. The process will ensure that the data from dissimilar sources complements together for relevancy and completeness during the search process.
To deliberate the content processing, you have to understand different components of content processing as you determine the right solution from the records merging to taxonomy, data extraction, and even data normalization.
Study the indexing
The next thing that you need to do is to study the indexing. By now you already know that crawls for search engine are vital to indexing. With this, it is important that you schedule a crawl (either full or incremental). Other aspects of indexing that you need to consider include speed, latency, and dynamic fields.
Examine the query functionality
Another thing to evaluate is the query functionality of the search engine. The search engine should support and optimise query-based search functions. This will depend on the business problems, types of data and customer-facing applications.
Inspect the search relevancy
When you hear about relevancy ranking, it refers to the process of sorting the document results so the documents that are most likely relevant to your query will be shown at the top. The relevancy will depend on the consistency of testing and improving the algorithms. You should remember that the better your understanding of the intent of users, the higher your search relevancy is.
Review the security
Since there are different repositories, implementing security can be critical and complex. The goal here is to unify different roles and groups from each repository into a single schema, which can filter out unauthorised results. In many organisations, the most sensitive documents are stored in repositories with complicated security measures.
Assess the UI (User Interface)
Keep in mind that UI configuration is critical. You need to ensure that you have a user-centric and intuitive interface, which the users are familiar about. This way, the users can conduct search and analysis productively.
Aside from Elasticsearch, maybe you have heard about Weka tool tutorial and Ansible online tutorial. You should determine how these could help you so you can make the most out of it. At the end of the day, before committing, you need to ensure that it is the proper tool or solution you need.