59 results about "Enterprise information management" patented technology

The invention discloses an intelligent enterprise financial data analysis system and method based on artificial intelligence, and belongs to the technical field of enterprise informatization management and intelligent finance. The objective of the invention is to solve the technical problems of low processing efficiency, insufficient data insight, lagging risk identification, weak intelligent decision-making assistance capability and the like in the existing enterprise financial data analysis process. The system generally integrates a data automatic acquisition and integration module, a financial data deep analysis and modeling engine based on artificial intelligence, a key financial index and operation performance intelligent calculation module, a multi-dimensional financial risk intelligent identification and dynamic early warning module and an interactive visual analysis report and decision support module. The core of the method is that internal and external multi-source heterogeneous financial and operation data of an enterprise are automatically collected and fused, deep processing and intelligent analysis are performed on the data by applying artificial intelligence technologies such as machine learning and natural language processing, and accurate portrait of the financial condition of the enterprise, dynamic evaluation of operation performance and real-time monitoring and prediction of financial risks are realized. And analysis reports and optimization suggestions with insight are generated, so that enterprise managers can make efficient and scientific operation decisions. According to the method, the automation and intelligence level of enterprise financial data analysis can be remarkably improved, the financial information quality and decision support efficiency are improved, the risk prevention capability of enterprises is enhanced, and the enterprises are assisted to realize refined operation and value creation.

The invention discloses an enterprise information visual management system and method based on data sharing, and belongs to the technical field of enterprise information management.The method comprises the steps that by connecting business systems in an enterprise, user behavior data and business data are collected and preprocessed, and an internal data set is constructed; acquiring data from an external data source, and constructing an external data set through semantic analysis, screening and classification; internal and external data are integrated, a dynamic cleaning rule is formulated, multi-source fusion is realized through data association, data are stored in a classified manner according to business requirements, and a data warehouse with a layered architecture is constructed; meanwhile, a personalized data mart is generated based on user roles and permissions, user demands are automatically predicted, and analysis indexes and dimensions are pre-generated; and finally, constructing a visual analysis platform, generating a preliminary recommendation scheme in combination with the pre-generated content and the user operation track, fusing user-defined setting, and outputting a final visual result in real time, thereby realizing efficient management and visual presentation of enterprise information.

The invention discloses a small and medium-sized enterprise information management method and system based on a multi-layer architecture, and belongs to the technical field of information management, and the method comprises the steps: constructing a decoupling architecture of a user interface layer, a business logic layer and a data storage layer; analyzing the evaluation standard through a dynamic rule engine of a business logic layer, and generating a configurable rule unit comprising a logic expression and a dynamic weight parameter; an offline priority strategy is adopted at the mobile terminal, and a vector clock identifier containing a client ID and a logic clock sequence is added to a data record; executing dynamic weighted evaluation calculation to generate a total evaluation score; and performing industry reference threshold verification on the numeric field. The technical bottleneck of tight coupling of multiple layers of modules in a traditional single framework is broken through by constructing a decoupling framework of the user interface layer, the service logic layer and the data storage layer and an asynchronous message bus communication mechanism, so that cross-layer codes do not need to be synchronously modified when the system adds or adjusts the evaluation dimension, and the system reliability is improved. And the framework flexibility and the expansion efficiency are obviously improved.

The invention provides an enterprise informatization management integration platform based on big data, which is based on Hadoop distributed computing framework construction, integrates technologies of MapReduce parallel processing, Spark real-time computing, HDFS distributed storage and the like, realizes data parallel processing through a swarm intelligence algorithm and a pheromone transmission mechanism, performs heterogeneous data mapping by utilizing a hierarchical self-encoding network, and realizes enterprise informatization management. Dynamic resource scheduling is realized in combination with a biological cell division mechanism and an entropy balance mechanism, storage management is optimized by adopting an adaptive grid partition and data temperature layering technology, and multi-scale feature fusion and knowledge reasoning support decision analysis are constructed based on Spark MLlib. According to the platform, the problems of low data processing efficiency, limited system expansion, difficulty in data sharing and the like in traditional enterprise informatization management are solved, and reliable technical support is provided for enterprise digital transformation.

The invention discloses a built-in order intelligent management system and method based on input method retrieval, and belongs to the technical field of enterprise information management. An input method is in butt joint with each management system in an enterprise through an API interface to obtain multi-source data to construct a built-in knowledge library, a built-in commodity library, a built-in order library and a built-in client library; integrating the libraries to form a data resource pool, and dividing the resource pool into a hot data layer and a cold data layer based on the data association degree and the access frequency; real-time behavior tags are generated for hot data layer clients, and association rules are established for hot sales products; a first-level session reference area and a second-level session reference area are embedded in an input method session interface, and the first-level session reference area automatically identifies a current session client, displays client related information and generates a recommended commodity combination; and the second-level session reference area monitors session content in real time, extracts keywords, triggers multi-library parallel matching retrieval, intelligently generates a reply template in combination with historical customer behavior characteristics, and assists a user in communicating with a customer.

The invention provides an enterprise project management method and device, electronic equipment and a storage medium, and belongs to the technical field of enterprise informatization management, in the method, cross-module real-time data synchronization is achieved through a unified data bus (UDB), data islands are eliminated, interaction with an external system is achieved through a protocol adapter, and the system reliability is improved. The interface adaptation efficiency is greatly improved, in addition, related business services call the target model to make decisions, that is, the target scheme corresponding to the business event is determined, quantitative support is achieved, in addition, the micro-service architecture is adopted, and expansibility and real-time performance are good.

The invention discloses an enterprise information integration and data visualization analysis method, and particularly relates to the technical field of enterprise information management, and the method comprises the steps: S1, data collection and preprocessing, S2, dynamic knowledge graph construction, S3, intelligent data integration, S4, dynamic association analysis, S5, intelligent visualization display, and S6, adaptive learning and optimization. According to the method, automatic integration, dynamic updating and intelligent display of multi-source heterogeneous data are realized through technologies of dynamic knowledge graph, intelligent data integration, real-time association analysis, intelligent visual display and the like, so that the high efficiency of data integration, the intelligence of visual display and the self-adaptive optimization capability of the system are greatly improved; and the data analysis and decision support capability of an enterprise can be effectively improved.

The invention relates to the technical field of enterprise information management, in particular to an enterprise multi-dimensional information management system based on artificial intelligence. Comprising a data acquisition unit used for acquiring enterprise internal data and public data; the data preprocessing unit is used for performing data cleaning on the data acquired by the data acquisition unit and storing the data in the data storage unit; the information evaluation unit is used for extracting the data in the data storage unit, calculating industry trend parameters, market demand parameters and policy orientation indexes and calculating information evaluation parameters M and is used for assisting enterprises to predict and judge market development changes; the information early warning unit is used for evaluating whether the enterprise internal data accords with a preset threshold value or not; and the display unit is used for displaying the data information, the information early warning parameter M and the early warning information in the data storage unit. According to the invention, effective management and analysis of information are realized, enterprise decision making and operation are assisted through identification and mining of enterprise internal information and public information, and management of enterprise information resources is optimized.

The present invention discloses an energy supply chain enterprise information management platform based on a blockchain consensus mechanism, which specifically relates to the field of blockchain technology, including an operation data acquisition module, an operation data analysis module, an operation feature analysis module, a fuzzy reasoning module and a network optimization module; the operation data acquisition module collects blockchain main chain and second-layer network data in real time, the operation data analysis module analyzes the main chain data, and determines whether there is a sign of throughput limitation; the operation feature analysis module extracts and analyzes the main chain and second-layer network feature data, and the result is transmitted to the fuzzy reasoning module; the fuzzy reasoning module infers the task transfer type and determines whether to build a main chain and second-layer network path; the network optimization module optimizes the second-layer network node configuration to share the load; the present invention dynamically determines whether to divert tasks through the second-layer network, and optimizes the second-layer network node configuration in real time to avoid main chain overload, improve the processing capacity of the overall system, and ensure efficient and stable operation of the system.

The invention discloses an enterprise information intelligent management method and system based on big data, and relates to the technical field of big data analysis, and the method comprises the steps: carrying out the data degradation analysis processing of to-be-managed enterprise information; and carrying out comparative analysis processing on the data degradation difference value. According to the method and the device, the data degradation difference value is determined by performing data degradation analysis on the enterprise information to be managed, the data degradation difference value can display the access times and the access frequency of the enterprise information, and the calling condition of the enterprise information can be determined by performing comparative analysis on the data degradation difference value subsequently; in addition, even if the number of calling times of some enterprise information is small, the enterprise information cannot be directly deleted, data or blood relationship analysis needs to be carried out on the enterprise information, whether the enterprise information has relevance with other enterprise information which does not reach the retention period or not is determined, and if the enterprise information has relevance, the enterprise information which does not reach the retention period needs to be deleted. And the data are also reserved, so that the integrity of the data during calling is ensured.

The invention discloses a fast searching and precise positioning system based on a BOSS system log chain, and relates to the technical field of enterprise informatization management, the system comprises a log acquisition module used for acquiring original log data generated by cross-system calling and carrying out preliminary sorting on logs according to timestamps, and a dependency relationship construction module used for constructing a dependency relationship between the log data and the initial sorting on the logs according to timestamps. The system comprises a dependency graph building module used for building a cross-system dependency graph based on logs subjected to preliminary sorting, a fault analysis module used for analyzing a fault conduction path by using the dependency graph and generating a link tracking identifier, and a graph maintenance module used for maintaining and updating the dependency graph according to the link tracking identifier, therefore, accurate positioning in a complex environment is realized. According to the quick searching and accurate positioning system based on the BOSS system log chain, the limitation of manual updating of a traditional knowledge graph is overcome, the response capability to dynamic change of the system is remarkably improved, and powerful technical support is provided for accurate fault analysis.

This invention discloses a closed-loop management and method for the entire lifecycle of enterprise strategic planning, relating to the fields of enterprise information management and network security technology. It involves acquiring the enterprise strategic plan and creating a separate version after each change; encrypting the version and obtaining a hash fingerprint; storing the hash fingerprint and unique version number in a decentralized manner; storing the encrypted version and key on a cloud server; when a user accesses the platform, network traffic characteristics are collected and input into a network security analysis model trained by a spatially limited multi-stage exploration algorithm to determine the security monitoring results; if secure, the target version data is scheduled and its integrity is verified using the decentralized hash fingerprint; after successful verification, the data and the key encrypted with the user's public key are securely transmitted to the user. This achieves absolute tamper-proof and closed-loop traceability of the strategic planning version, and improves the accuracy of network environment perception through a multi-stage exploration algorithm, constructing a highly secure data access and transmission defense line.

The invention provides a FastGPT knowledge base-based visual form generation method, a medium and equipment, and belongs to the technical field of artificial intelligence. Comprising the following steps: collecting form design data from a business system, cleaning the data and extracting key fields to obtain original JSON data of a form; original JSON data of the form is imported, and a knowledge base of form design is constructed based on a knowledge base function of a FastGPT system; searching answer content in the knowledge base according to question content queried by the user; using a large-scale pre-training model to generate form JSON data in combination with the context understanding ability and the retrieval result, extracting form information from the form JSON data, and presenting form content; and regularly learning a form mode from newly collected form design data, and updating the current knowledge base. The method is applied to the fields of enterprise informatization management, automatic office business and the like, the form design efficiency and quality can be effectively improved, and the labor cost is reduced.

The present application relates to the technical field of loading system, in particular to an intelligent unattended quick loading system; the intelligent loading system of the present application takes automatic license plate recognition as a vehicle identity recognition means, combines with ground sale business logic, automatically controls the ground scale peripheral equipment, guides the vehicle to go up and down the ground scale, realizes the vehicle guidance under the warehouse, and according to the vehicle information, carries out the loading operation of the specified coal quality and quantity, registers the delivery information, prevents the weighing cheating, automatically loads the vehicle, prints the bill and realizes a series of intelligent operation such as the single inspection and factory delivery, and effectively connects with the sales system and enterprise information management system, and through increasing the digitalization and intelligent application, improves the work efficiency, reduces the manual participation and lowers the labor cost.

This invention relates to the field of enterprise information management and intelligent document processing technology, specifically to an AI-based enterprise management document automatic archiving system based on semantic analysis. The system includes a cloud-based multi-source heterogeneous data acquisition module and a base semantic anchoring module, a spatiotemporal business graph construction module, a semantic context gravity coupling calculation module, and a fluid archiving execution module. By acquiring the location characteristics and flow range of business interface nodes and data source nodes, the system divides data into sub-regions, periodically collects document flow data and business pulse flow data, generates basic semantic vectors and business state weights, constructs a dynamic graph, calculates real-time correlation gravity, and executes virtual view archiving and permission mapping switching. This invention achieves the synchronous evolution of document archiving location, document permissions, and business visibility, avoiding the formation of knowledge silos due to fixed folder structures.

The present application relates to the technical field of artificial intelligence and enterprise information management, in particular to a kind of industry and finance abnormal penetrating type traceability analysis method fusing reason-cause graph and meta-learning.The method first constructs reason-cause graph with event as node and logical relationship as edge from multiple source business data.When identifying financial abnormality, it is injected into the graph as a signal and analyzed by reverse propagation to locate the potential source event set.Further, a model trained by meta-learning is called, which can quickly adapt to new abnormalities and accurately determine the root cause business event from the potential set by comparing historical patterns.Finally, a traceability report containing complete causal evidence chain and auditable details is automatically generated.The present application realizes the automatic, intelligent and accurate positioning from financial digital abnormality to deep business root cause, and solves the pain points of low efficiency of traditional manual traceability and difficulty in discovering complex correlations.

A method for enterprise information management includes receiving first input information, from a first user, that corresponds to a first identifying a first feature of an organization. The method further includes generating, using the first input information, a first data object that represents the first feature of the organization. The method further includes generating a second data object based on second input information. The method further includes hierarchically associating the second data object with the first data object using the first input information and the second input information. The method further includes generating output information, in response to a second user accessing the first data object, based on the first data object, the second data object, and contact information associated with the second user. The method further includes displaying the output information on a display.

The application relates to the technical field of enterprise information management and intelligent document processing, in particular to an AI enterprise management document automatic archiving system based on semantic analysis, which comprises a cloud end, a multi-source heterogeneous data acquisition module in communication connection with the cloud end, a base semantic anchoring module, a time-space business graph construction module, a semantic context gravity coupling calculation module and a fluid archiving execution module; the position characteristics and flow range division data sub-regions of business interface nodes and data source nodes are acquired, document flow data and business pulse flow data are collected in a timing mode, basic semantic vectors and business state weights are generated, a dynamic graph is constructed, real-time correlation gravity is calculated, virtual view archiving and permission mapping switching are executed; the application realizes the synchronous evolution of document archiving positions, document permissions and business visibility, and avoids the formation of knowledge islands caused by fixed folder structures.

The invention relates to the field of information management, in particular to an enterprise information management method based on business and financial integrated processing, which comprises the following steps: determining an operation danger state according to the request sensitivity and request relevancy of a target user, and determining a safety processing mode according to the operation danger state; in identity verification for a target user and related early-warning users, verification requests are sent to the target user and the related early-warning users according to a preset sequence, an identity verification optimization mode is adjusted under an early-warning response condition, and desensitization processing is carried out for requested enterprise information of the target user. Detecting keyword matching times and keyword sensitivity to determine keyword combination deviation degree, and determining that a desensitization mode is interval desensitization or combined desensitization according to the keyword combination deviation degree; the information management method is adaptively selected according to the actual conditions of the request data of different users, so that the safety management efficiency of enterprise information is improved.

The present invention relates to the field of enterprise information management technology, and provides an enterprise WeChat management system, method, electronic device, and storage medium. The enterprise WeChat management system includes: an enterprise management module for activating and allocating permissions for enterprise WeChat accounts, wherein the permissions include user group operation permissions; a user growth module for generating user traffic entrances for enterprise WeChat accounts with the user group operation permissions; and a user management module for managing user group information operated by enterprise WeChat accounts, wherein the user group information includes user group chat information. The enterprise WeChat management solution of the present invention can automatically maintain and manage enterprise information such as enterprise WeChat accounts and user groups operated by enterprise WeChat accounts, thereby achieving efficient and global management of enterprise information.

The invention discloses an enterprise information management method and system based on digitization, and the method comprises the following steps: S1, information collection and integration; s2, semantic comprehension enhancement; s3, intelligent classification and labeling; s4, constructing a knowledge graph; s5, security encryption and storage; s6, carrying out real-time analysis and decision support; s7, information interaction and sharing; the enterprise information management system based on digitization comprises an information acquisition module, an information integration module, a semantic understanding module, an intelligent classification module, a knowledge graph construction module, a secure storage module, a real-time analysis module, an information interaction module and an anomaly detection module. According to the method, semantic comprehension, machine learning classification and knowledge graph construction are applied, big data and artificial intelligence analysis decision are used, block chain platform collaboration is established, and early warning is performed through anomaly detection, so that the information management efficiency and accuracy are improved, and the enterprise competitiveness is enhanced.

Certain embodiments disclosed herein reduce or eliminate a communication bottleneck at the storage manager by reducing communication with the storage manager while maintaining functionality of an information management system. In some implementations, a client obtains information for enabling a secondary storage job (e.g., a backup or restore) from a storage manager and stores the information (which may be referred to as job metadata) in a local cache. The client may then reuse the job metadata for multiple storage jobs reducing the frequency of communication with the storage manager. When a configuration of the information management system changes, or the availability of resources changes, the storage manager can push updates to the job metadata to the clients. Further, a client can periodically request updated job metadata from the storage manager ensuring that the client does not rely on out-of-date job metadata.

This invention discloses a method, device, and medium for multi-platform order synchronization processing, belonging to the field of enterprise information management technology. It addresses the technical problems of low order processing efficiency, high error rates, and asynchronous information between orders, as well as high labor costs in existing multi-platform e-commerce management. The method includes: acquiring raw heterogeneous order data from different e-commerce platforms through an API interface adapter; standardizing and converting the raw heterogeneous order data to obtain standard order data; integrating the standard order data with various business tasks under a relevant business rule engine to obtain customized order data; synchronizing the customized order data with relevant enterprise systems and obtaining order process feedback information based on order update information; and visually configuring both the customized order data and the order process feedback information through a visual management backend to obtain order process monitoring information.

The invention relates to the technical field of enterprise information management systems, and discloses an enterprise information management method and an enterprise information management system.The method comprises the steps that interaction demand information of a first system in a second system in enterprise information management is calculated; constructing an interaction strategy optimization semantic learning model in the interaction module, and mapping a first system internal field and a corresponding second system internal field in the interaction demand information to determine a plurality of interaction nodes in the second system; corresponding interaction mapping nodes are established in the interaction module; and when it is detected that data update exists in the interaction demand information, determining an interaction node of the to-be-synchronized data to the interaction mapping node, synchronizing the updated interaction demand information in the interaction node to the interaction mapping node, and generating feedback data sent to the first system. According to the invention, the problem of data islands in the existing enterprise information management can be solved.

The present application relates to the technical field of enterprise information management and risk control, and particularly relates to a contract compliance dynamic management and control system and method based on data linkage. The contract compliance dynamic management and control system based on data linkage comprises: a data fusion module, which is used for automatically connecting and integrating internal business data sources and external compliance data sources of an enterprise to form fused data; a compliance monitoring module, which is used for performing real-time dynamic compliance verification on a contract execution process based on the fused data; a supplier verification module, which is used for performing multi-dimensional compliance cross-verification on a supplier at a key node of contract execution based on the fused data; and an early warning and tracing module, which is used for generating a graded risk early warning and performing full-link tracing on a risk event according to verification outputs of the compliance monitoring module and the supplier verification module. By establishing an automatic data connection and processing channel, deep fusion and real-time synchronization of internal and external compliance data are achieved.

The invention relates to the technical field of information management, and particularly discloses an enterprise information management method and system based on a cloud platform, and the system comprises a cloud computing enterprise management platform. The cloud computing enterprise management platform comprises a security and analysis module and a server module, and the server module comprises a client information module, an enterprise management module and a distributed data module; the enterprise management module comprises an employee information module, an enterprise supervision module and an authority management module; the employee information module is used for uploading first customer information to the customer information module, and the customer information module preprocesses the first customer information and uploads a preprocessed result to the distributed data module and the enterprise supervision module; after the employee information module checks that the client information is correct, the client information is uniformly uploaded to the distributed data module, so that the retrieval of the client information can be improved, the client information is ensured to be in a completely correct state after being uploaded, the workload of personnel can be reduced, and the management of the client information is improved.

The invention relates to the technical field of enterprise information management, in particular to an enterprise entrepreneurship resource management system based on artificial intelligence. Comprising an entrepreneurship stage evaluation module, a human resource management module, a financial management module, a business management module and a research and development management module. Data analysis and evaluation are carried out on the overall operation condition of an enterprise, research and development resources and market resources are mainly identified, the core competitiveness condition of the enterprise is clarified, the enterprise is assisted to clarify whether the market is dominated or research and development is dominated in combination with self-cognition of the enterprise, and the operation direction is further clarified; meanwhile, the financial health degree and the human resource condition of the enterprise are recognized, financial budget and personnel recruitment plans are reasonably appointed under the condition that the enterprise development prospect and financial condition permission are met, and blind investment is avoided for reasonable expansion and planning of the enterprise; and the current development stage of the enterprise is positioned through the analysis of the entrepreneurship stage evaluation module, and enterprise entrepreneurship resource allocation is optimized.

The invention discloses a dynamic cost auditing method and system based on a process engine, and relates to the technical field of enterprise informatization management and process automation. The method comprises the following steps: collecting cost-related data from an enterprise business system; creating a cost auditing request based on the cost data; dynamically matching and instantiating a corresponding auditing process according to the attribute information of the auditing request through a process engine based on a BPMN standard; dynamically loading a corresponding auditing rule from the dynamic rule base; generating an auditing suggestion and a risk score in combination with an auditing rule and a machine learning algorithm; the auditor makes a final decision by referring to the auditing suggestion and the risk score; the audit result is fed back to related systems and personnel; and archiving and storing the auditing process data. Through organic combination of a process engine, a rule engine and an intelligent algorithm, automation, intelligence and dynamic of cost auditing are realized, the auditing efficiency and accuracy are remarkably improved, the cost risk is reduced, and powerful support is provided for cost management and control of enterprises.

A kind of enterprise information management system print data processing method and device, product, medium, print data processing method includes: receiving print data, generating editable table document;In response to formula contained in editable table document, trigger formula to complete calculation;Get the format parameter of editable table document, and determine conversion rule according to format parameter;Based on conversion rule, editable table document is converted into cross-platform format table document, and cross-platform format table document is pushed to the user end of enterprise information management system.The above scheme can be converted into cross-platform format table document on the server side to the editable table document, realize print format uniformity.Formula calculation is triggered actively before conversion, which avoids printing out wrong data after conversion.

The invention discloses an enterprise culture intelligent management platform based on context awareness and multi-modal interaction, and relates to the technical field of enterprise informatization management. According to the platform, a multi-source data access module collects enterprise business data; the culture content intelligent generation engine automatically generates multi-modal culture content through an AI technology; the context awareness interaction front end dynamically adapts to a content presentation form according to the equipment state and the user scene; the feedback analysis and optimization module analyzes dominant and implicit interaction data, establishes a content performance evaluation model and realizes push strategy optimization; intelligent production, situational distribution and data-driven optimization of enterprise culture contents are realized, and the problems of content production lag, single presentation form, subjective effect evaluation and the like in traditional culture management are solved.