30 May, 2023
In today's digital age, businesses are generating and storing vast amounts of data, making it increasingly challenging to locate the information they need quickly and efficiently. According to research, employees spend approximately 20% of their time using enterprise search to find the documents they need. This inefficiency can result in a significant financial impact on a business. So improving document findability can have a profound and financially measurable impact on your business.
The most desirable feature for improving document findability is faceted search which allows users to filter search results based on specific criteria. This is where Pingar comes in. Pingar is an AI-powered solution that transforms enterprise search satisfaction by enabling filtered search and greatly improving findability.
Enable Filtered Search
Pingar automatically machine-reads documents, and using its Natural Language Processing (NLP) algorithms, extracts the most critical entities that define the document, such as people, locations, organisations, topics, key phrases, and dates. These entities are used to create new tags or to enrich existing metadata. This sophisticated metadata based on the contextual understanding of the document is essential to enable filtered (faceted) search in a content management system such as SharePoint. Filtered search provides the most user-friendly and efficient search experience for users using enterprise search.
Manage Multilingual Content
Pingar supports multiple languages for automated tagging and categorisation of multilingual content. Our solutions enable enterprises to ensure consistent, precise, and effective information governance with their chosen languages while applying industry-specific taxonomies. This enhances information retrieval, security, and retention operations.
Create and Manage Taxonomies
When working with taxonomies in SharePoint, it's crucial to ensure that your taxonomy labels and corresponding tags are of high quality. High-quality tagging requires alignment between the taxonomy and your tagging terms. Pingar can eliminate such issues by extracting key phrases using DiscoveryOne, which helps build a taxonomy and classify documents.
Pingar utilises cutting edge NLP technologies. It is capable of finding relevant information even if the keyword is not mentioned in the document. It can distinguish the true meaning of a word, such as identifying when a word like "apple" refers to a fruit, a company, or a person. Our solutions can crawl documents in multiple languages, enabling users to find the information they need. By reading, analysing, and tagging documents, Pingar creates metadata that businesses need for effective information management and enterprise search.
Pingar helps businesses transform their enterprise search satisfaction by enabling filtered search and improving findability. By reading, analysing, and tagging documents, Pingar creates metadata that businesses need for effective information management and enterprise search. By utilising Pingar's solution, businesses can de-risk information security during a system migration, auto-categorise according to content types, and enable search refiners, among other benefits.
05 May, 2023
Overcoming The Corporate Discoverability Challenge
04 April, 2023