PERSONALIZED REPORTING SYSTEM

Abstract

This invention relates to a system (1) that enables the analysis of semantic data objects defined on the data warehouse and data lake to learn the user's past reporting behavior and context; and to automatically generate personalized reports based on this information.

Description

1 TARIFF PERSONALIZED REPORTING SYSTEM Technical Area This invention defines semantic data on a data warehouse and data lake. by analyzing the objects, the user's past reporting behavior and learning the context; generating personalized reports automatically based on this information. It is related to a system that enables its production. Previous Technique Today, business intelligence (BI) tools generally provide static reports. It works based on templates. Users can create reports tailored to their needs. They usually create it manually or get support from technical teams. 15 While there are some systems that allow querying using natural language, these are... It is mostly independent of data semantics and the user's past behavior. It does not analyze. Furthermore, these systems do not provide real-time context analysis. Personalization is limited. Due to these shortcomings, the process of interacting with data is... slowing down, making sense of things becomes more difficult, and decision-making processes 20 It is becoming inefficient. Therefore, considering the studies and shortcomings in the current technique... when taken into consideration, an evaluation of past reporting practices, The AI ​​large language model (Large 25) answers the question asked by the user in natural language. A technical approach using a semantic data catalog with support for the Language Model (LLM). by converting it into a query and directing the result to the business intelligence interface. We need a system that allows the presentation to the user in a visualized form. It seems that it was heard. 2 Chinese patent no. CN119203966, which falls under the known state of the art. The document mentions a report generation system. The patent in question... The invention discussed in the document is a large model-based intelligent report generation method. and describes the device, electronic equipment, and an environment. Method, target obtaining a natural language dialogue of the object; this natural language dialogue is called 5 based on combining meta-information with a large language model. the creation of a structured query statement; this structured query generating a smart report request based on that request and responding to that request, The report text is generated using a predefined template via a template engine. This involves creating a pre-defined template, multiple of 10 It includes a modular template. It's a large model intelligent system based on dynamic template analysis. According to the report generation methodology, through natural language dialogue and meta-information analysis. Queries are generated automatically, with pre-structured detail. Deep data analysis is being performed with sub-templates that have a certain size, large language research based on query results and knowledge base, along with the model, and 15 Evaluation suggestions are provided. Thus, efficient, accurate and Personalized automated report generation is being performed, and the method data... It is widely applicable in the processing field. Brief Description of the Invention 20 The purpose of this invention is to define semantic data on a data warehouse and data lake. by analyzing the objects, the user's past reporting behavior and learning the context; generating personalized reports automatically based on this information. The goal is to implement a system developed to enable its production. 25 Detailed Description of the Invention "Personalized Reporting" was implemented to achieve the purpose of this invention. The "System" is shown in the attached figure; this figure is 30 3 Figure 1 shows a schematic view of the system that is the subject of the invention. The parts shown in the figure are individually numbered, and these numbers correspond to... The corresponding answers are given below. 1. System 2. Electronic Devices 3. Interface 4. Database 5. Server 10 Analysis of semantic data objects defined on the data warehouse and data lake. by analyzing the user's past reporting behavior and context learning; generating personalized reports automatically based on this information. The system in question, developed to enable its production (1); 15 - communicating using any remote communication protocol at least one electronic device configured to be (2), - enabling the user to request a report in natural language, to present the generated outputs in visual and textual form At least one interface configured (3), 20 - structured / semi-structured data warehouse and data lake to provide real-time data from structured sources at least one structured database (4), - the user's past queries, report viewing habits, and analyzing contextual trends of objects in data sources 25 defining semantic connections, artificial intelligence large language model providing the structure to make the correct transformation, input in natural language using its semantic catalog to formulate meaningful queries. transforming, by running technical queries, the outputs are graphical and converting the prepared reports into textual reports, and providing these reports to the user within 30 days. to integrate and interface with business intelligence tools to present (3) 4 at least one server configured to serve on it (5) It includes. The electronic device (2) in the system (1) which is the subject of the invention, can be accessed remotely from any remote 5 Communicating using the communication protocol, connecting with the server (4) to install and run at least one interface (3) on it It is being structured. The interface (3) in the system (1) that is the subject of the invention allows the user to receive a report in natural language. to enable them to make requests, and to provide the generated outputs in visual and textual form. 10 It is structured to present. The database (4), data warehouse and data lake in the system (1) that is the subject of the invention Real-time data from structured / semi-structured sources in this form. It is structured to provide. 15 In the system that is the subject of the invention (1), the server (5) provides data through the database (4). from structured / semi-structured resources in the form of a data warehouse and data lake To access real-time data, the user requests a report via the interface (3). access and contextual information by analyzing the user's past habits 20 to obtain and artificial intelligence with the Large Language Model (LLM) to analyze the meanings of the concepts included in the problem in the data sources It is structured. The server (5) performs semantic analysis of the obtained information. After that, it transforms into a technical query, interacting with data sources. It is configured to run the query and obtain the results. Server 25 (5), processing the results through business intelligence tools and presenting them on the interface (3). It is structured accordingly. The server (5) in the system (1) which is the subject of the invention, the user’s past queries, Analyzing report viewing habits and contextual trends, data 30 Identifying the semantic connections of objects in their sources, artificial intelligence's big language Providing the structure for the model to perform the correct transformation, input in natural language the technique of transforming questions into meaningful queries using its semantic catalog By running queries, converting the outputs into graphical and textual reports, to integrate business intelligence tools to present the prepared reports to the user and is structured to be presented on the interface (3). 5 Industrial application of the invention In the system that is the subject of the invention, (1) a report in natural language via the user interface (3). The server (5) requests the user's 10 through business intelligence tools. By analyzing past habits, contextual information is obtained. Server (5), This information is processed by artificial intelligence using a large language model and a semantic data catalog. interacting with the data in the database (4) of the concepts contained in the problem It analyzes the meanings of the words in their original sources. After semantic analysis, This information, transformed into a technical query, interacts with data sources 15 It runs the query and obtains the results. The server (5) obtains processing the outputs so that they are presented to the end user and visual on the interface (3) and communicates it in textual form. The system in question (1) supports large language models and processes these data objects naturally. converting user questions into localized language and instantly providing them to business intelligence tools. It directs the user to "What is the customer churn rate this quarter?" When a question is asked in natural language like this, this request is processed in real-time semantics. The results are presented in a meaningful report after being transformed into an inquiry. The greatest advantage of the system in question (1) compared to existing business intelligence tools is, Not based on fixed templates, but entirely user-specific, dynamic and contextual. It is able to provide reports. This speeds up decision-making processes and makes them more efficient. It provides high data awareness. 6 Based on these fundamental concepts, the invention is titled "Personalized Reporting System". It is possible to develop a wide variety of applications related to (1)”, and the invention is here It cannot be limited to the examples given; it is essentially as stated in the claims.

Claims

7 REQUESTS 1. Semantic data objects defined on the data warehouse and data lake by analyzing the user's past reporting behavior and learning the context; based on this information, automatically creating a personalized 5 Developed to enable the generation of reports; - communicating using any remote communication protocol at least one electronic device configured to be (2), - enabling the user to request a report in natural language, 10 to present the generated outputs in visual and textual form at least one interface configured (3), - structured / semi-structured data warehouse and data lake to provide real-time data from structured sources containing at least one structured database (4); - user's past queries, report viewing habits and 15 analyzing contextual trends of objects in data sources defining semantic connections, artificial intelligence large language model providing the structure to make the correct transformation, input in natural language using its semantic catalog to formulate meaningful queries. transforming, running technical queries, and graphically displaying the outputs. converting the prepared reports into textual reports, presenting the prepared reports to the user. to integrate and interface with business intelligence tools to present (3) with at least one server (5) configured to serve on it a characterized system (1).

2. Communicating using any remote communication protocol. to be, to connect to the server (4) and to have at least an interface on it (3) is characterized by the electronic device (2) configured to operate. A system like the one in Request 1 (1). 8 3. To enable the user to request a report in natural language. to present the generated outputs in visual and textual form from the above requests characterized by the structured interface (3) a system like any other (1).

4. Structured / semi-structured data warehouses and data lakes. Data structured to provide real-time data from sources. any of the above claims characterized by its base (4) such a system (1).

5. Data warehouse and data lake form via database (4) from structured / semi-structured sources to real-time data to access, access the user's report request via the interface (3) and Obtaining contextual information by analyzing the user's past habits. to analyze and the concepts involved in the problem with a large language model of artificial intelligence 15 Server configured to decipher the meanings of data in data sources (5) like any of the above-mentioned claims characterized by system (1).

6. After semantic analysis of the obtained information, it is turned into a technical query. 20 transforming, executing the query by interacting with data sources and characterized by the server (5) configured to obtain the results. a system like any of the above-mentioned requests (1).

7. Processing the results through business intelligence tools and interface (3) 25 The above is characterized by the server (5) configured to serve a system like any of the requests (1).

8. The user's past queries, report viewing habits, and Analyzing contextual trends of objects in data sources 30 9 Defining semantic connections is crucial for the accuracy of the AI's large language model. providing the structure for conversion, questions entered in natural language, using a semantic catalog to transform queries into meaningful ones, technically By running queries, converting the outputs into graphical and textual reports, 5 integrated with business intelligence tools to present the prepared reports to the user with the server (5) configured to do and present on the interface (3) as in any of the above characterized claims system (1). 15 25

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