Insight engines enable users to search, discover, and analyze both structured and unstructured data. Employees and customers use these tools to quickly and easily find information and data, whether that be content, documents, or raw data. Insight engines use natural language processing (NLP) and machine learning when querying to best provide results. Instead of writing SQL queries, or utilizing some other database language, users can search in natural language and receive similar results. These solutions learn what users are searching for to provide the most accurate search results. Insight engines can connect to a variety of data sources, such as enterprise content management (ECM) systems, big data processing and distribution tools, and databases, among many others. This allows for a central repository of all company information.
Insight engines can be used by all businesses and departments that are shifting to a data-driven culture. By implementing insight engines, companies do not need to rely as heavily on data analysts to provide specific insights, and instead can use data teams to focus on more proactive initiatives. Insight engines maybe be used in conjunction with enterprise search software, business intelligence platforms, and text analysis software, among others.
To qualify for inclusion in the Insight Engines category, a product must:
Connect to company content and data sources
Allow users to search using natural language for both structured and unstructured data and content
Provide searchers with results in the form of documents, data sets, or other relevant content
