Introduction
The future of enterprise search is happening now. With the introduction of AI, enterprise search has reached a new standard, delivering faster, more reliable, and more accurate information to both employees and customers.
In today's data-driven world, the ability to quickly find and leverage information can make or break a business. Enterprise search is a powerful tool that enhances productivity and drives innovation by enabling employees and customers to access and utilize the wealth of information within an organization. As we dive into the future of enterprise search, we will explore the evolution and benefits of it.
How to define enterprise search?
Enterprise search refers to software designed for internal searches within a company's website, intranet, help center, or other data sources. It goes beyond basic search functions by utilizing AI to deliver the most specific information. By integrating multiple data sources, it ensures the most relevant results are displayed while maintaining a high level of security and compliance.
Enterprise search solutions are created to work with both structured data and unstructured data to produce the most accurate and relevant information to increase productivity and decision-making within the organization and for the customers.
What does enterprise search do?
Enterprise search functions by indexing data and displaying the required information to users. The main difference between a search engine and enterprise search is that enterprise search is specifically designed to work with an organization's internal content and data.
An enterprise search gets the relevant information through a web crawler, which works in phases to make sure all the data is scraped in order to provide all the relevant answers.
These are the 3 phases of web crawling:
- Exploration, also known as the collection phase, is the initial stage of the search process when the web crawler begins exploring available data;
- Indexing follows, where the extracted data is organized into a database, allowing for easier retrieval through automatic summarization;
- Querying occurs once the data is explored and summarized, enabling employees or customers to search effectively.
What types of enterprise search are there?
The most commonly known types of enterprise search are:
1. AI Search- this type of search uses primarily machine learning to create an accurate list of results, without relying on keywords, but based on the context of the query. This offers a resolution rate of over 90%;
2. Siloed- it’s an individual search to one single database at a time;
3. Federated - individual search to a multiple database at the same time;
4. Unified - single search in a given index.
What are the features of a great enterprise search?
Data security and compliance are the most important components for any enterprise. Software must adhere to data security laws across different countries, ensuring both enterprise and user data are safe and meet SOC2 requirements.
2. Advanced indexing
This feature efficiently organizes, categorizes, and makes sure that data is easily retrievable from multiple sources and that the user can instantly find the most accurate answer from any given source.
3. Real-time analytics and insights
Being able to offer real-time analytics and insights into the search queries gives you the ability to monitor performance, discover the most popular pages and close content gaps, therefore making the search more user friendly and much better over time.
4. Search UIs
Any enterprise search should offer various customizable search interfaces, giving users the ability to match the design to their brand’s identity and internal needs..
Great enterprise search is able to integrate seamlessly with different systems and make it possible to search in various data bases, whether it’s the website, intranet or a CRM system. This saves the users time and
Enterprise Search with Raffle AI
Make sure you unlock the full potential of your enterprise data by using the Raffle AI enterprise search! It’s designed to integrate with a multitude of existing systems such as Zendesk, Intercom, Umbraco and more, which you can find here. Raffle AI uses natural language processing, machine learning and advanced indexing techniques. You can read more about this on our technology page.
Raffle saves time for your employees and customers who are searching for information and makes the decision process much smoother. You also receive information about the content that your employees and customers are looking for, so you can close the content gap and offer the most relevant information at all times.
Experience the difference Raffle AI can make in your organization. Start a free trial today and discover how our advanced, secure, and user-friendly enterprise search can streamline your operations, break down data silos, and unlock the full potential of your data.