„Enterprise search has dominated the way people find information, but significant changes in what is available and what is desired are gathering pace. Digital content leaders must embrace a new technology that is redefining the market around search, one that Gartner terms the ‘insight engine.’”
In Dialogue with Big Data
What does the expression "Insight Engine" actually mean and how can it affect the way we search?
The term is based on the information available in the company (big data). An insight engine looks at how this information can best be searched, as does enterprise search; but an insight engine includes a broader spectrum of technologies that dramatically increase the quality and scale of the search. In essence, the properties of an insight engine can be described using the following three terms:
Insight engines immediately and proactively provide information in its correct context. Studies show that a shortened response time to complex questions is increasingly becoming a decisive criterion for success in today's competitive business environment. This is why it is more important than ever to be able to access and use your own company data in order to remain competitive (Forbes Insights, 2016. Vermeer, 2014). In the age of big data, the rapidly accumulating data is predominantly unstructured ̶ texts, voice messages, videos, and the like; this data piles up unutilized and inaccessible, because it isn’t in a form that can be processed (IDGE. 2016). Insight engines use semantic analysis to interpret unstructured data and prepare it to be processed and used. Search results are improved and delivered in a structured format.
The Solution is Mindbreeze InSpire
Semantic analysis and machine learning technology can extract meta data and interpret unstructured data and search queries. In a Natural Language Question Answering (NLQA) dialogue, data can be queried intuitively.
Mindbreeze InSpire also recognizes the type of data that the query deals with, and delivers the results in a structured form (for example, business reports in tabular form), which is ideal for direct processing. By the same token, the search experience is enhanced by proactive data analysis and automatically triggered tips, which are displayed in addition to the actual search. Relevant information that has not been explicitly searched for is also delivered, enabling Mindbreeze to provide supplementary alternatives to support the search process.
A Solution for all Business Sectors
Insight engines are applicable across industries and are normally used to speed up workflow and qualitatively improve work processes. Mindbreeze InSpire has already proven its effectiveness in various industries and business settings under real-life, practical conditions.
Why Mindbreeze InSpire
Draw from the abundance of your own data
- Link more than 450 data sources with our connectors
- Semantic analysis makes data interpretable
- Achieve a comprehensive 360° view
Find information faster
- Structured results for specific search terms (who, when, where, etc.)
- Semantic interpretation of search queries
- Intuitive search with Natural Language Question Answering (NLQA)
The personal assistant for your company data
- Proactive analysis of search queries
- Real-time analysis with alarm functions (actionable information)
- Support for critical time-sensitive decision making