68 results about "Customer analytics" patented technology

A system and method for creating virtual “flat” customer records derived from database customer data that may be used as standardized input for analytical models. A Customer Analytic Record (“CAR”) application may be created as a database object to extract, transform, and format all of the customer data needed for customer segmentation and predictive modeling. The CAR may be a set of database “views” that are defined using virtual stored queries and enabled using capabilities of a data base management system and a structured query language. The CAR is preferably a virtual “flat” record of the customer data needed for customer analytics. The customer data may be extracted by running one or more SQL queries against the database view(s). The CAR application may dynamically calculate additional variables using predetermined transformations, including custom transformations of an underlying behavior. If additional variables are created, the CAR may be modified to include the additional variables. The CAR is preferably a dynamic view of the customer record that changes whenever any update is made to the database. The definition of the CAR provides documentation of each data element available for use in models and analytics.

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.

A system and method for creating virtual “flat” customer records derived from database customer data that may be used as standardized input for analytical models. A Customer Analytic Record (“CAR”) application may be created as a database object to extract, transform, and format all of the customer data needed for customer segmentation and predictive modeling. The CAR may be a set of database “views” that are defined using virtual stored queries and enabled using capabilities of a data base management system and a structured query language. The CAR is preferably a virtual “flat” record of the customer data needed for customer analytics. The customer data may be extracted by running one or more SQL queries against the database view(s). The CAR application may dynamically calculate additional variables using predetermined transformations, including custom transformations of an underlying behavior. If additional variables are created, the CAR may be modified to include the additional variables. The CAR is preferably a dynamic view of the customer record that changes whenever any update is made to the database. The definition of the CAR provides documentation of each data element available for use in models and analytics.

An exemplary system for analyzing and modeling electric generators for a customer is provided. The system may include a database component and processor. The database operable to maintain data identifying a generator, a generator fuel cost projection, operating parameters, a customer load profile, and an electricity cost projection for a period of time. The processor operable to calculate a projected generation cost, and to compare the projected generation cost with the electricity cost projections to provide electricity to the customer through an electric grid. A method for modeling distributed generation is also provided. The method includes determining a projected customer electric cost to provide electricity to a customer from the electric grid and determining a projected generation cost for a generator to generate electricity for the customer for the period of time to meet the customer's projected load or electric load profile.

A computerized method for enforcing compliance to a subscription for object evaluation service by a malware detection system is described. Enforcement logic receives operational metadata from the malware detection system. The operational metadata includes metadata associated with operations performed on objects submitted to the malware detection system by the one or more customers. For each customer, the operational metadata associated with operations performed on data submitted by the customer is analyzed for comparison with a plurality of service attributes associated with the subscription for the customer. Responsive to detecting that the customer is failing to comply with one or more service attributes of the plurality of service attributes, performing, by the enforcement logic, an operation to remedy (i) a failure by the customer in complying with the subscription requirements for the customer or (ii) a failure by the malware detection system in providing the customer with object evaluation service that satisfies the subscription requirements for the customer.

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.

Contextual vocabulary and methods of use are provided herein. A method may include obtaining contextual properties for a plurality of end users and device related information for computing devices used by the plurality of end users, the contextual information being obtained from a plurality of ambient information sources, including selection from a plurality of contextual repositories. Also, the method includes calculating a trust level for each of the plurality of customer analytic information sources and each of the plurality of device information databases, and building a contextual vocabulary from the contextual information and the device related information selected based upon their trust levels.

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.

Contextual vocabulary and methods of use are provided herein. A method may include obtaining contextual properties for a plurality of end users and device related information for computing devices used by the plurality of end users, the contextual information being obtained from a plurality of ambient information sources, including selection from a plurality of contextual repositories. Also, the method includes calculating a trust level for each of the plurality of customer analytic information sources and each of the plurality of device information databases, and building a contextual vocabulary from the contextual information and the device related information selected based upon their trust levels.

The present invention provides a customer relationship management system facing a standard information service industry. The system comprises a customer reception module, a customer information management module, a customer financial management module, a customer service response module, a customer service supporting module and a customer analysis module, adopts an Oracle software as a background database system of the application data, and facilitates managing the customer relevant information better to realize an automatic electronic transaction platform taking the on-line transaction as core and the warehouse receipt pledge, the logistics control and the bank automatic settlement as auxiliary. The customer relationship management system facing the standard information service industry is good in user experience, excellent in safety performance and sensory property and novel in design, enables the operation performance to be optimized better, guarantees the data privacy, establishes the exchange information between enterprises and between the enterprises and the users, has an industrial demonstration effect at the electronic transaction aspect, is a very good design scheme, and has a great market popularization prospect.

A system and method for brewing and dispensing beverages may use customer profiling to select beverages to be produced and presented to a given customer and / or messages to be displayed to the customer, based on customer-specific information stored on a loyalty card, in a local system, or remotely. A user interface mechanism may receive input identifying the given customer. A controller may select a base drink recipe dependent on the customer's identity, and may initiate production of a beverage using the selected drink recipe. Each drink recipe may specify an amount of water, coffee, flavorings, dairy, and / or other ingredients, and may be further customizable to add or remove ingredients and / or to change an amount thereof, based on received user input. The stored customer-specific information may include a customer identifier, account information, a purchase history, a message history, drink recipes, and / or an email address for each of a plurality of customers.

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 an information analysis system supporting the fine customer value management of the stockbroking industry. By adopting the data ETL (extracting, transforming and loading) process, the EDW comprising a large amount of data, the DDW comprising the mildly accumulated historical departmental data and meeting the needs of a certain department of the specific enterprise, the CUBE for quickly realizing upwards and downwards drilling, rotary examining by fluoroscopy and slice and block cutting and the OLAP for making the analyzer, the manager or executor to access information quickly, consistently and interactively from multiple aspects, a kind of software technology for further knowing data can be obtained. By applying the EDW, DDW and OLAP technologies comprehensively and integrating the data provided by multiple service systems of the securities company, a comprehensive data analysis system for the securities users is formed so that the customer needs, potential and service states can be known more effectively, the implementation progress and effect of various service means can be known and the customer analysis performance and the daily work efficiency of all service departments of the securities company can be improved.

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 system includes web page access controller, mobile terminal controller, database server, user logon server, userí»s mobile terminal and usersí» computers. When carrying out network inquisition or information access, the system solves issues of controlling ID of visitor as well as meets privacy requirement of most users, who are reluctant to register on Internet to be as member. The invention digs the foundation for network inquisition, customer analysis, and E-commerce.

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 mobile terminal service system for online opening. The mobile terminal service system comprises an opening information module, a house resource information module, a customeranalysis module, an activity analysis module and a server background, the opening information module, the house resource information module, the customer analysis module and the activity analysis module are connected with the server background through the Internet; the server background is connected with a database to provide data acquisition; the opening information module is used for acquiring basic information of an opening activity and extension information of the opening activity; wherein the house resource information module is used for displaying house resource information correspondingto an open activity, the customer analysis module is used for displaying the total customer number and customer list information of the current open activity, and the activity analysis module is usedfor calculating and displaying various data information of statistical analysis of the open activity. According to the online opening mobile terminal service system provided by the invention, visual,online and real-time opening information statistics and management and control functions are provided, and the centralized opening house source marketing and control management efficiency is improved.

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.