30.04.2020 | News Data integration and data management with Enterprise Search

To enable intelligent search, modern solutions for enterprise search bring numerous innovative technologies with them. Thanks to them, enterprise search benefits go far beyond the classic company-wide search. According to IntraFind, it can also be used as an excellent tool for data integration, data aggregation and data management.

Enterprise Search makes it possible to integrate structured and unstructured data from different sources and thus make it retrievable and analyzable. For example, data from all unstructured and structured sources can be brought together with Elasticsearch as a NoSQL database. This provides companies with a powerful database for comprehensive and flexible search-driven analyses. A search index enhanced with content-enrichment methods forms the central knowledge and information backend for a wide range of application and usage scenarios such as company-wide searches.

In order to be able to optimally understand and process the information found, it must be intelligently related to each other. Modern solutions for enterprise search provide a comprehensive AI technology stack consisting of machine learning as well as rule-based, linguistic and semantic processes. This allows data to be automatically enriched with relevant metadata and classified according to any field of topics. All types of structured and unstructured data can be automatically labelled according to any criteria.

Enrichment with metadata can easily be applied to several hundred million or even billions of documents. Large companies in particular, with huge and heterogeneous data stocks, can therefore benefit from these capabilities. They have the possibility to evaluate, analyze and handle all content according to their own or to legally specified criteria.

This results in numerous potential application scenarios. These include, for example:

• Conducting cross-cutting analyses: A wide variety of information from different data pools can be bundled to perform comprehensive analyses and thereby gain valuable information from unstructured data sources. For example, a development engineer at an automobile manufacturer can be provided with all relevant information for better decisions, depending on the development phase of the vehicle, in a comprehensive manner and linked with each other via intelligent search.

• Complying with data protection laws: Companies know where information relevant to data protection is located, such as personal data in the sense of the German Data Protection Act (DSGVO), known internationally as GDPR - General Data Protection Regulation. They can be located quickly and reliably when a request for information needs to be answered or certain personal data needs to be deleted.

• Protecting intellectual property: Content of particular value such as patents, inventions and other intellectual property of a company can be localized and thoroughly protected against unauthorized access with appropriate security guidelines.

• Observing confidentiality requirements: The same applies to contents to which statutory provisions on secrecy apply, which are subject to internal company secrecy levels or which, due to their confidentiality, may only be made accessible to certain groups of persons.

• Complying with export control regulations: Exporting companies can operate a secure export control system. They know for each individual piece of information in which country it is stored and to whom it may be passed on.

"Companies should consider enterprise search as a central infrastructure for state-of-the-art information retrieval that is deeply integrated into various business processes", says Franz Kögl, CEO of IntraFind Software AG. "Companies like the Rolls Royce Group already do this and operate an efficient and reliable data management through intelligent, AI-driven content enrichment with the iFinder solution".