
Elasticsearch
EndGame is a cloud-based and on-premise endpoint security solution, which assists medium to large organizations with threat detection and malware attack prevention. Key features include incident tracking, runtime analysis, role-ba...Read more
Mindbreeze InSpire is a cloud-based insights management solution that helps enterprises capture, organize and store details about staff, operations, and clients from multiple data sources and provide access to employees and custom...Read more
Market Logic is a knowledge management solution that helps businesses in finance, CPG, retail, healthcare and other industries generate insights across operational strategies, innovation, marketing and sales processes. It enables ...Read more
SearchBlox is an insights engine software designed to help businesses in the government, finance and healthcare sectors search and analyze complex data across websites, intranets, emails and social media platforms. The solution en...Read more
Alfresco Content Services is a cloud-based enterprise content management (ECM) solution, which helps businesses across finance, healthcare, insurance, publishing, manufacturing and government sectors manage, secure and deliver con...Read more
Lucidworks Fusion is a cloud-based solution designed to help IT teams manage data discovery through natural language processing (NLP), query intent classification, information clustering and ranking algorithms. Key features includ...Read more
Funnelback is a cloud-based software that helps businesses leverage machine learning algorithms to conduct website searches and retrieve personalized results. Professionals can use the dashboard to view recurring search trends and...Read more
Intelligence2day® is an AI-based insight engine that allows organizations to automatically collect, discover, organize, analyze and share information on the market and competitive landscape such as customers, competitors, products...Read more
Coveo Relevance Cloud is an artificial intelligence (AI)-enabled solution that helps businesses across finance, manufacturing, telecommunications and other industries manage enterprise search and customer service operations. The a...Read more
Your organization could be using multiple business software tools, such as enterprise resource planning (ERP) and customer relationship management (CRM) systems, to store data and automate processes. These disparate systems can lead to unstructured and siloed data, making it hard for your employees to find the information they need to complete their tasks. It’s also difficult to analyze this type of data and derive insights from it.
Insight engines can search, discover, and analyze data from both internal and external sources, including software systems, to help users quickly find the information they need. These are intelligent enterprise search engines that use machine learning (ML) and natural language processing (NLP) to understand unstructured data (text, videos, or images) and deliver complex search queries in an easy-to-understand manner.
A wide range of insight engine platforms is available on the market, and choosing the one that best meets your needs and budget is important. This guide will help you understand the different factors you must consider when shortlisting an insight engine.
Here’s what we'll cover:
An insight engine, also known as cognitive search or enterprise knowledge discovery and management software, is an intelligent enterprise search platform that uses artificial intelligence (AI) to search and extract information from internal and external data sources. It uses NLP and ML to analyze large volumes of complex data, both structured and unstructured, and deliver the most accurate results to user queries.
Businesses use insight engines to find the information (media content, documents, raw data, etc.) present in their data sources—be it the internal digital workspace or public-facing sources such as the company website.
Analytics and insights in Lucidworks Fusion (Source)
Software features vary by product or vendor, but most insight engines platforms have the following features in common:
Intelligent search | Search and find the most relevant information from the databases used in your organization. The software uses AI technologies, such as NLP, ML, and semantic search, to provide a single point of access to enterprise content sources. |
Augmented analytics | Use AI and ML capabilities to prepare, analyze, and visualize data to gain insights faster. |
Data aggregation | Combine various data sources, including business and cloud storage apps, into one integrated space for data analysis and processing. |
Indexing | Analyze data and convert it into a format that can be indexed and searched. The process includes cleansing, normalizing, calculating the search relevance, filtering, sorting, and scoring the data by relevance. |
Recommendations | Get suggestions on the best course of action or the most relevant information as you use the system. |
Knowledge management | Gather, organize, share, and analyze knowledge resources, including documents and data, to find relevant information in real time. |
Sentiment analysis | Use NLP and text analysis to interpret and classify the sentiment (positive, negative, or neutral) of customer feedback data. |
Access control | Assign system access permissions (viewing, suggesting, or editing rights) to users based on their job roles or departments. |
Predictive analytics | Use data mining, statistics, ML, and AI to analyze data and user behavior to make usage predictions. |
Before evaluating software, you should assess the type of buyer you are. The majority of buyers in the insight engines market belong to one of these categories:
Here are some benefits you can expect from replacing your traditional enterprise search engine with an insight engine:
Listed below are some considerations to keep in mind when selecting an insight engines platform:
Here’s a recent trend in the global insight engines market that you should be aware of:
Note: The application selected in this article is an example to show a feature in context and is not intended as an endorsement or a recommendation. It has been obtained from sources believed to be reliable at the time of publication.