Traditional search has served us well for decades, but as time goes by, it has failed to keep up with growing demands to integrate multiple information systems across organizations. The complexity of data keeps growing exponentially with the growth of corporate intranets and desktop computing. As a result, organizations need to adapt to a modern search platform that can connect numerous data sources and index them to provide the most relevant results.
That’s where intelligent search comes in. Such an intuitive platform not only provides matching criteria but also determines the meanings associated with each query for a better search experience.
How Does Intelligent Search Work?
Intelligent search combines semantic vector search machine learning and natural language processing. These algorithms work together to;
- Link data sources: Via a “connector,” you can link all your content sources, including CRMs, web crawlers and document management systems, making it easy to crawl structured and unstructured data.
- Index content: The algorithms index the available data, creating an integrated search index that ranks search results homogenously regardless of origin.
- Analyze content: They extract relevant information from the crawled documents, later classifying them and identifying their semantic correlation.
- Provide answers: The intelligent search algorithms rank passages from various content pieces and provide users with the relevant snippets or passages that most satisfy their query.
Benefits of Incorporating Intelligent Search in Your Company?
Easy Classification and Categorization of Heterogeneous Data Sets
Business processes keep on evolving and as a result, integration of new technologies once in a while is inevitable. One of the major challenges during the onboarding process is the need to format the existing data into a format compatible with the new technology.
With intelligent search solutions, data becomes discoverable across different heterogeneous data sets, eliminating the need for prep work in advance. Thanks to built-in converters and connectors, varying file formats can be discovered and indexed to allow automatic searching.
Understand and Analyze Connections Between Data
Gathered data is only useful when analyzed. According to the ICD market research, almost 90 percent of the stored data in organizations is unstructured. Analyzing and discovering the relationship between varying data sets makes searching for data purposeful and leads to more rich data sets.
Through natural language processing and machine learning, intelligent search technology can interpret user search terms as well as analyze their end goals. This means you can type out search phrases as though they were talking to a fellow human using natural expressions yet get more effective results.
On top of that, comprehensive machine learning mechanics continuously establish and refine user patterns by keeping track of previous searches and behaviors to enhance the accuracy of future results.
Better Breakdown of Data Silos and Improved Collaboration Between Departments
Are you currently utilizing a plethora of tools and services in your data analytics? If so, you’ve likely experienced trouble accessing data contained within one department or tool, which in most instances is inaccessible outside that system.
By employing intelligent search, you can unite and break down these silos and transform them from department or employee-specific information into organizational knowledge. It makes data easily searchable and accessible to anyone needing it, increasing collaboration between departments—bye to department-wide data sharing meetings.
Edge Over Your Competitors
Companies are turning to tech solutions, which include but are not limited to AI and intelligent search solutions. If you are in the eCommerce industry, adopting innovative technologies significantly provides customer service at scale.
Not all the time FAQ will answer your clients’ queries. Customers of the present era want correct answers whenever they need them on a self-service basis.
By incorporating intelligent search in your mobile and web-based applications, you can help them achieve independence, eventually translating to better customer experience and high customer satisfaction.
Boosted Employee Productivity
Intelligent search makes the accessibility of significant data sets easy and user-friendly. With or without technical knowledge, employees can search the company’s database for information as if they were searching the web.
They no longer have to spend the entire day searching through large data junks. This frees their time, which they can use to invest and accomplish other important tasks. The increased output would generally mean increased value for your organization.
Is It Really Worth Investing in Intelligent Search?
Yes. You definitely need a resource to help your workforce navigate through the large repositories of data so that they can have an easy time accessing the information they need to go about their daily routines. The technology doesn’t just apply to workers but also to customers in the eCommerce space, bringing about accurate and more relevant results based on user patterns analyzed over time.
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