68 results about "Customer analytics" patented technology

A method for building an integrated customer analytics solution for an enterprise is provided. The method enables retrieving and processing customer data from data sources available in the enterprise. Further, statistical techniques are generated using the processed data to facilitate analyzing attributes related to the customer. Statistical model outputs are, then, derived using the generated statistical techniques. The statistical model outputs represent metrics corresponding to the analyzed attributes. Furthermore, statistical models are generated corresponding to the statistical model outputs. The statistical models are associated with scores that facilitate to predict likelihood of customer behavior towards products, services and other customer related aspects associated with the enterprise. In addition, reports are generated based on at least one of: the processed data and the one or more statistical model outputs. Finally, the method enables building analytical modules comprising the reports and the statistical models.

A retail energy provider system comprising a market transaction manager, business rules and requirements processor, usage rater, customer analysis and quality control auditor, customer billing processor and collection manager, customer payment processor, third party sales and marketing application programming interface, customer acquisition and residual income interface, having a wholesale forecaster, interactive voice response system, intranet web services, internet web services and network based external customer service and executive management systems and financial services functions, all said functions and systems interacting with a robust SQL database engine for which the novel database schema is taught herein.

The invention provides an electronic bank website customer behaviors and information process method and a system, wherein the method comprises: obtaining log data and advertisement data of electronic bank website to get advertisement analysis data; obtaining electronic bank website log data and website structural data to get website structural analysis data; obtaining electronic bank website log data, customer register data and website structural data to get customer analysis data; outputting the obtained advertisement analysis data, website structural analysis data and customer analysis data. The invention applies statistical technique into new electronic bank field, which can quicken electronic bank construction and provides a method and a system for analyzing electronic bank customers' behaviors.

Implementations described and claimed herein provide systems and methods for generating network intelligence based on network data. In one implementation, a network traffic dataset representative of network traffic across one or more ports of a primary network is obtained. The ports are associated with a secondary network in communication with the primary network. A content distribution network log associated with the secondary network is obtained. The content distribution log includes a history of content requests. A domain name system log associated with the secondary network is obtained. The domain name system log includes one or more Internet Protocol addresses. Network intelligence is generated based on the network traffic dataset, the content distribution network log, and the domain name system log. The network intelligence may be customer analytics, an aggregated data feed, and/or recommendations for inventory placement.

The invention provides a client feature library generating method, which comprises the steps of: calculating the sum d of intra-class distances under different cluster numbers k, and drawing a k-d value curve; finding a turning point according to the k-d value curve, finding a k value corresponding to the turning point, looking for an optimal cluster number kopt within a range near the k value, and utilizing a cluster result corresponding to the optimal cluster number as a final cluster result. The invention also provides a client feature library generating device. The scheme of the invention can improve the cluster searching efficiency and precision, and the method of the invention is used for performing client analysis according to the obtained client feature library to improve the recommendation success rate and client satisfaction degree of a marketing campaign.

An integrated transaction module associated with an entity allows for consolidating and using information related to management of transactions. The integrated transaction system incorporates a transaction viewer for displaying information such as the companies involved in the transaction, level of interest shown by potential clients in hiring the entity to manage the transaction, whether or not the companies involved in the transaction present any conflict-of-interest for the transaction management company, and any attachments that may be relevant to the transaction. In addition, the integrated transaction system incorporates a transaction team conflicts checker to determine whether or not any of the team members involved in the transaction pose a conflict-of-interest and a best client analyzer for determining which of several potential clients offer the most benefits to the transaction management organization.

A retail energy provider system comprising a market transaction manager, business rules and requirements processor, usage rater, customer analysis and quality control auditor, customer billing processor and collection manager, customer payment processor, third party sales and marketing application programming interface, customer acquisition and residual income interface, having a wholesale forecaster, interactive voice response system, intranet web services, internet web services and network based external customer service and executive management systems and financial services functions, all said functions and systems interacting with a robust SQL database engine for which the novel database schema is taught herein.

A customer profiling system and method are described. The system comprises a receiver for receiving event trigger data in response to a customer interacting with an environment; a processor configured to: uniquely determine customer identifier data associated with the event trigger data; and to associate the event trigger data with a customer profile associated with the unique customer identifier.

The invention relates to an integrated business system, comprising a terminal service interface, a plurality of cooperation platform interfaces and an integrated business platform. The terminal service interface is used for receiving the access of a business terminal and sending the received business request information to the integrated business platform; the cooperation platform interfaces are used for respectively exchanging data with the cooperation platforms of a plurality of third parties; and the integrated business platform is used for certifying the business request information, and if the business request information is certified, the integrated business platform selects a business cooperation system according to business types and then transmits the business request information to the business cooperation system. The invention also relates to an application method based on the integrated business system. The integrated business system provides various services or products for users and updates data corresponding to the card number of the integrated business in a database according to the information fed back by the cooperation platforms so as to provide further services, for example, the integrated business system can realize integrated association treatment and data mining by utilizing the data of consumption, payment, business service information and the like, and is greatly helpful for credit, market analysis, client analysis and the like.

A rental customer positioning method for electricity marketing relates to a rental customer positioning method. At present, precise positioning of a rental customer, standardization of an electricityconsumption behavior thereof in combination with a service strategy and realization of precision marketing are of an urgent task. The method comprises the following steps of (1) primary selection of an index; (2) index analysis including continuous variable analysis and discrete variable analysis; (3) determination of the index; (4) construction of a rental customer prediction model; and (5) output of a rental prediction result according to the determined rental customer prediction model, and positioning of the rental customer. According to the technical scheme, characteristic analysis is carried out on the rental customer firstly; a plurality of indexes for influencing the analysis of the rental customer are extracted as a predictive index set from three dimensions of basic information, payment behavior and electricity consumption characteristics; the rental customer prediction model is constructed through a C5.0 decision tree algorithm; the rental customer is accurately positioned torealize precise marketing, the electricity consumption behavior of the rental customer is standardized, the electric bill recovery efficiency is improved and the potential safety hazard is reduced.

The invention relates to a big data-based customer relationship management and service intelligent tracking system and method. The system comprises a big data-based analysis server, a relay server based on a cloud computing platform, a communication protocol management server, a network identity authentication server, and a database server. The big data-based analysis server, the communication protocol management server, the network identity authentication server and the database server are all in data connection with the relay server based on a cloud computing platform. The tracking method comprises the four steps of system assembly, system prefabrication, service monitoring and customer analysis. According to the invention, the requirements of remote acquisition and centralized analysis operation of various service working contents, working environments and various complex data can be effectively met; and meanwhile, expected service requirements of customers can be accurately analyzed and pre-judged, so that the aim of improving the service work development efficiency, precision and quality is fulfilled, and the service work development cost is reduced.

The invention discloses a data analysis system combining the Internet-of-things and the cloud computing technology, and relates to the technical field of cloud computing, in particular to a data analysis system combining the Internet-of-things and the cloud computing technology, which comprises S1, an initial information transmission module; S2, an event data summarizing module; S3, an event dataprocessing module; and S4, an event data feedback module comprises an event data analysis result unit, a data report transmission unit and an event data result cloud transmission unit. According to the system, the cloud computing technology and the Internet of Things technology are mutually combined; the big database can be used for quickly analyzing data for customers and obtaining different results through different models so as to provide reliable reference information for the customers; the data processing and analyzing capability is greatly improved, the data processing and analyzing system is more intelligent, information beneficial to customers is rapidly obtained from numerous and numerous data, relatively reasonable suggestions are provided, the time for analyzing the data by thecustomers is greatly shortened, and the data processing and analyzing system is more intelligent.

The invention discloses an AR-based marketing cloud service platform, AR intelligent equipment, an AR intelligent system and an AR intelligent method. The AR-based marketing cloud service platform comprises an AR interaction module, a data linkage module, a data analysis module and a data aggregation module. The AR interaction module performs AR interaction with a consumer through AR intelligent equipment to obtain consumer data; the data linkage module is used for realizing data sharing by coordinating data of consumers, merchants and manufacturers, so that intelligent linkage is carried outamong marketing links, and personalized consumer data is provided; the data analysis module carries out customer analysis insight based on data analysis and carries out personalized information recommendation on consumers; and the data aggregation module performs marketing data integration. According to the AR marketing scheme based on the AR technology, marketing information flow is converted into C2B from B2C, the future marketing development trend is met, and by means of the AR technology, merchants can conduct flexible production and personalized customization according to the real requirements of consumers.

The invention provides a client analysis system based on big data. The system includes a data acquisition unit, data filter unit, a data storage unit and a data analysis unit, a data acquisition unitperforms data capture on information of browsing and transaction information pages of well-known shopping websites on the Internet, A data screening unit sets customer characteristic data, screening the data captured by the data acquisition unit according to the customer characteristic data, The customer characteristic database is obtained, the data storage unit designs the category label according to the customer characteristic database, and stores the data according to the category label classification, the data analysis unit carries on the cluster analysis to the data under the same category label, obtains the customer to the price, the brand preference, the purchase frequency information, and generates the corresponding customer analysis report.

The invention relates to a customer analysis system. The invention particularly relates to a client analysis system based on big data including a server, the server is connected with a data acquisition module used for acquiring financial data related to a client from a financial market. The server is connected with a data input module used for inputting financial data into the data storage module.The server is connected with a data storage module used for storing financial data. The server is connected with a data statistics module for summarizing and counting the financial data stored in thedata storage module; the server is connected with a report generation module used for generating a statistical report according to the statistical result of the data statistical module, and the server is connected with a model construction module used for constructing a client financial information model according to the statistical report; according to the technical scheme provided by the invention, the defects that real-time data support cannot be provided for financial customers and financial users with high value cannot be effectively screened in the prior art can be effectively overcome.

A method for automatically determining one or more cross customer metrics from a cross customer store for cross customer analytics is provided. The method includes the steps of: (i) automatically standardizing dimensions associated with the one or more customers to create one or more cross customer metrics; (ii) automatically determining incremental data from one or more customer specific stores by tracking (a) a time stamp of a last pull time (T) for customer data stored in the one or more customer specific stores, and (b) a number of items involved (I); (iii) automatically updating the one or more cross customer metrics in the cross customer store with the incremental data; and (iv) automatically comparing the one or more cross customer metrics of a customer with one or more peer groups created at run time based on customer selected values for one or more parameters.