Qlik Technologies has patented a method using natural language to guide users in obtaining analytic data. The method involves generating content items based on keywords, creating data structures with temporal values, and presenting content in a chronological order. GlobalData’s report on Qlik Technologies gives a 360-degree view of the company including its patenting strategy. Buy the report here.

According to GlobalData’s company profile on Qlik Technologies, was a key innovation area identified from patents. Qlik Technologies's grant share as of February 2024 was 48%. Grant share is based on the ratio of number of grants to total number of patents.

Conversational analytics using natural language input

Source: United States Patent and Trademark Office (USPTO). Credit: Qlik Technologies Inc

A recently granted patent (Publication Number: US11915251B2) discloses a method involving a computing device determining a keyword from a natural language input during an analytics session. The method includes generating content items associated with the keyword, creating data structures to associate the keyword with the content items based on temporal values, and arranging the output of these content items chronologically at a user interface. Additionally, the method involves receiving a second natural language input, determining correlations between the input and content items, and providing recommendations for output based on these correlations. The patent aims to streamline data analysis processes by organizing and presenting information in a structured and time-based manner.

Furthermore, the patent describes an apparatus with processors and memory storing instructions for executing the method outlined above. The apparatus is designed to determine keywords, generate content items, create data structures, and arrange output based on temporal values during an analytics session. It also includes features for receiving additional natural language inputs, identifying correlations with content items, and providing recommendations for output. The apparatus aims to enhance the efficiency and effectiveness of analytics sessions by facilitating the organization and presentation of data through a user-friendly interface. Overall, the patent highlights advancements in data analysis technology by introducing a systematic approach to processing and displaying information in a coherent and time-sensitive manner.

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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.