1939 results about "Data warehouse" patented technology

System for tracking mobile tags. Cell controllers with multiple antenna modules generate a carrier signal which is received by the tags. Tags shift the frequency of the carrier signal, modulate an identification code onto it, and transmit the resulting tag signal at randomized intervals. The antennas receive and process the response, and determine the presence of the tags by proximity and triangulation. The recursive-least squares (RLS) technique is used in filtering received signals. Distance of a tag from an antenna is calculated by measuring the round trip signal time. The cell controllers send data from the antenna to a host computer. The host computer collects the data and resolves them into positional estimates. Data are archived in a data warehouse, such as an SQL Server. Also disclosed is an article tracking system that supports both active and passive tags with a cell controller able to read both passive and active tag signals.

Consent-based application programming interfaces (APIs) are used to provide privacy access controls to operational systems for business services accomplished particularly in an electronic and / or networked environment. An API implementation device or host provides a link between a channel application, configured to provide an interface with a customer, and privacy data as used by operational applications and obtained from databases such as data warehouses. The privacy APIs provide per-customer choice / consent to obtaining and / or retrieval of privacy information / data and per-customer access thereto. In one form, the privacy APIs are used in business initiated self service applications wherein an activity or event triggers business to customer initiation.

<heading lvl="0">Abstract of Disclosure< / heading> An integrated suite of services for consumers, service providers and manufacturers in the pharmaceutical industry is disclosed. The present invention utilizes one or more of the NCPDP standard formats and adopts the switch for an integrated system of, for example, instant adjudication of prescriptions, consumer data warehousing and / or incentive rewards for the consumer. A participating consumer with one card, can instantly purchase pharmaceuticals and charge the transaction to a credit card and earn and apply savings dollars redeemable for pharmaceutical purchases. For a participating service provider, instant adjudication and instant validation of consumer eligibility can be performed. Moreover, a service provider may receive messages related to the patient's medications. Significantly, data is recorded for consumers even when consumers make the pharmaceutical purchase with cash. The system includes a unique card issued to participating consumers. The card is adapted to encode conventional credit or debit card information specific to the participating consumer so that the consumer can consummate a transaction for the purchase of pharmaceuticals without possession of an additional credit card. The system further includes a host processor coupled to the point of sale at the service provider through a leased line or public switch network or the like. When a customer performs a pharmaceutical transaction at the point of sale of the service provider, the host processor coordinates any benefits and data with other prescription benefit management systems through messages transmitted and received from any primary or secondary carrier systems. The host processor further is adapted to facilitate real-time adjudication of claims and checks for any dangerous drug-to-drug interactions. The host processor additionally facilitates any financial processing including the accumulation and redemption of any bonus dollars earned by the consumer. Furthermore, since the card used by the consumer can be encoded with credit or debit card information, the host processor determines the desired payment method and performs the actual financial transaction. Even if the transaction at the point of sale is a cash purchase, the consumer may desire to use his unique card for the accrual of bonus dollars. Therefore, data concerning the transaction (i.e., pharmacy number, prescription number, etc.) can be recorded even for transactions conducted with cash.

A method is provided for qualifying and analyzing business intelligence. At a first part of a data management system receives first, second and third streams of data. The first stream is client provided source data, the second is public source data and the third is data management system internal data previously collected and managed source data in the data management system. The three streams of data are organized into items and their attributes at the data management system. The source data is transformed at a data warehouse where it becomes normalized. Logic is applied to provide multi-dimensional analysis of transformed source data relative to a scale for at least one business intelligence. The data warehouse includes updated data from the multi-dimensional analysis. A user interface communicates with the data management system to create statistical information that illustrates impact over time and value.

An improved method of and a system for managing data elements in a multidimensional database (MDB) supported upon a parallel computing platform using modular-arithmetic based address data mapping (i.e. translation) processes on integer-encoded business dimensions. The parallel computing platform has a plurality of processors and one or more storage volumes for physically storing data elements therein at integer-encoded physical addresses in Processor Storage Space (i.e. physical address space in the one or more storage volumes associated with a given processor). The location of each data element in the MDB is specified in MDB Space by integer-encoded business dimensions associated with the data element. A data loading mechanism loads the integer-encoded business dimensions and associated data elements from a data warehouse. The address data mapping mechanism performs a two part address mapping processing. The first step maps the integer-encoded business dimensions associated with each data element to a given processor identifier (which uniquely identifies the processor amongst the plurality of processors of the parallel computing platform). The second step maps the integer-encoded business dimensions associated with each data element into an integer-encoded physical data storage address in Processor Storage Space associated with the processor identified by the processor identifier generated in the first mapping step. The mapping performed in this second step is based upon size of the integer encoded business dimensions. The data management mechanism manages the data elements stored in the storage volumes using the integer-encoded data storage addresses generated during the two-part address data mapping process. The use of modular-arithmetic functions in the two-part address data mapping mechanism ensures that the data elements in the MDB are uniformly distributed among the plurality of processors for balanced loading and processing. The present invention can be used to realize (i) an improved MDB for supporting on-line analytical processing (OLAP) operations, (ii) an improved Internet URL Directory for supporting on-line information searching operations by Web-enabled client machines, as well as (iii) diverse types of MDB-based systems for supporting real-time control of processes in response to complex states of information reflected in the MDB.

A method of defining aggregate levels to be used in aggregation in a data store having one or more dimensions. Levels are defined corresponding to attributes in the dimension, so that data can be aggregated into aggregates corresponding to values of those attributes. The invention provides for the definition of sub-levels which act as levels but define which detail entries in the associated dimension will contribute to the sub-level. The invention also provides for the definition of level groups. A level group can replace a level in a level cross-product and such a cross product is then expanded before aggregation into a set of cross products, each containing one of the level group entries.

Data integration and data analysis using computing equipment, software as well as hardware, includes a system and method for integrating data from various data sources, structured and unstructured, without physically creating a data warehouse and automatically generating queries for analysis of the integrated data from a multitude of different views.

A framework is provided for management of models. Management of data models or other types of models includes model change comparison and change implementation. For example, in the context of data warehouse models, model components and their process interactions are captured in a form such that different versions of a model can be automatically compared and any changes between versions determined. The framework provides the capability of capturing a model definition down to the level of an individual object and the semantics and relationships of each object. A model is represented and stored as a set of (1) unique object identifiers, (2) object metadata signatures that represent the semantics of objects, and (3) object relationships. Such model information can be stored in a relational database, against which a query, such as an SQL (Structured Query Language) query, can be executed to determine whether two models differ.

A system disclosed includes a temporal data warehouse and a platform independent temporal data warehouse load application operable to run on the system. The load application uses timestamp data from incoming data in conjunction with a relational algebra of set operators to identify and sequence net changes between the incoming data and data previously stored within the data warehouse. The load application loads the identified and sequenced net changes into the data warehouse with relatively little intrusion into normal operation of the data warehouse. Optimizations, including but not limited to, distinct partitioning of the workload into parallel streams are selectable via metadata.

According to the invention, techniques for visualizing customer data contained in databases, data marts and data warehouses. In an exemplary embodiment, the invention provides a system for graphically analyzing relationships in data from one or more data sources of an enterprise. The system can be used with many popular visualization tools, such as On Line Analytical Processing (OLAP) tools and the like. The system is especially useful in conjunction with a meta-model based technique for modeling the enterprise data. The enterprise is typically a business activity, but can also be other loci of human activity. Embodiments according to the invention can display data from a variety of sources in order to provide visual representations of data in a data warehousing environment.

A computer implemented method for executing an ANSI SQL expression belonging to the SELECT-WHERE-equi-JOIN class on data residing in a distributed file system, said method comprising the steps of entering the ANSI SQL expression into a user interface; converting the ANSI SQL expression into a map-reduce program; running the map-reduce program on the distributed file system; storing the result set of the program in the distributed file system; and presenting the result set through a user interface.

Method and system for consolidating cash letters. Embodiments of the invention provide methods and systems for consolidating cash letter data from a plurality of capture devices and sources. In example embodiments, data from multiple sites and sources can be assembled into a single, endpoint file for a specific clearing institution. The reformatting and distributing of this data can be accomplished using endpoint specific rules and specifications. In some embodiments, a transaction exchange (TRX) stores cash letter data according to a file key and applies the endpoint specific distribution controls to the data to create the specific endpoint files. The transaction exchange can take the form of a data warehouse with processing and storage capabilities necessary to sweep the appropriate cash letter data into an endpoint file as needed. An image archive can be provided to enable appending images to endpoint files.

A system and method for parsing an electronic media database structure to produce tagged data that preserves the content, links, and electronic media structure. In particular, HyperText Markup Language (HTML) data is generated as an Interactive Electronic Technical Manual (IETM) (home page) linked into a relative structure of Web pages to support IETM deployment. An extraction process assesses the functionality associated with each node designated for presentation and builds a virtual Web, based on attributes stored in the IETM database. A series of Web pages with links that hierarchically presents IETM data at run time is produced. The method supports a data warehousing strategy that converts any data type eligible within the relational database. This expands support across multiple types of technical and engineering data. The preferred implementation utilizes a relative addressed pure HTML solution viewable in standard Web browsers. This open system implementation is cross platform and infrastructure independent, requiring no special server software. Retaining the hierarchical structure dictated by the relational database in HTML output enhances the supportability and maintainability of the Web implementation. Updates to this Web implementation can be incrementally applied within the hierarchy (small sections of data) or the entire logical sections of Web data.

A data warehouse design that combines data from multiple source ledgers or modules is constructed and from that an associated, single physical Star or Snow-Flake schema and OLAP hyper-cube analytic structure is generated to enable cross-functional analysis of any those multiple source ledgers or modules. The step of constructing the data warehouse or the step of generating the associated OLAP cube is achieved without significant human intervention using software. The present invention is based on the insight that the technical bias against generating individual data marts and OLAP cubes from multiple source ledgers is not well founded. Previously, the norm has been to generate a single physical OLAP cube for each individual ledger—hence one for the General Ledger, a further one for sales order processing etc. This prior art approach makes cross functional analysis multiple source ledgers and sub-ledgers difficult since it requires the creation of a further level of physical or virtual cubes across multiple physical cubes and complex querying. This is no longer necessary with the present invention.

A system and method for segmenting customer data that represents a plurality of customers for use in a customer interaction. The segmentation process groups customers with similar characteristics into segments. The segments may be used to classify customers according to a likelihood of the customers to accept a particular marketing offer. The segments may also be used as an analytic framework for customer portfolio management, product development, marketing strategy, and customer interaction capabilities. A multi-dimensional segmentation approach may be used to cross-segment a plurality of customers so that the customers included in the crossed segments can be profiled for more precise targeting of marketing offers. Customers may be segmented according to one or more data types stored in a data warehouse. The multi-dimensional segmentation approach may be applied to relationships between and among the data types to obtain a holistic view of what drives customer value. The segmentations may be driven by a business objective. This enables the segment analysis to be calibrated in the context of the stated business objective.

A computer system and method is disclosed that provides a single-page zero-footprint browser-based user interface with rich user interface features more commonly found in a traditional client-server application. The system and method includes one or more web servers, reporting servers, relational database servers, data warehouse servers, and client workstations for providing the browser-based application. A user requests that the browser-based application be retrieved from a server. A single page is received from the web server that contains code for a user interface for the application. The user interface with multiple content windows is displayed to a user. When at least one piece of data needs to be retrieved from a data source, an asynchronous request is sent to the server for the data from a hidden frame in the page. The data is received from the server and used in the application. Other requests for data are also made asynchronously.

A method is provided for qualifying and analyzing business intelligence. At a first part of a data management system receives first, second and third streams of data. The first stream is client provided source data, the second is public source data and the third is data management system internal data previously collected and managed source data in the data management system. The three streams of data are organized into items and their attributes at the data management system. The source data is transformed at a data warehouse where it becomes normalized. Logic is applied to provide multi-dimensional analysis of transformed source data relative to a scale for at least one business intelligence. The data warehouse includes updated data from the multi-dimensional analysis. A user interface communicates with the data management system to create statistical information that illustrates impact over time and value.

The present invention provides an automated data warehousing and OLAP cube building process. The invention allows a person who is not a database query language expert to build validated data warehouses, and OLAP cubes based on such data warehouses.

A system and method for analyzing and reporting data from multiple sources is provided. The system is a foundation for an analytical platform that covers not only traditional relational data, but also a new generation of extensible data formats designed for the web, such as those based on XML (FIXML, FpML, ebXML, XBRL, ACORD, etc.), as well as HTML, E-mail, Excel, PDF, and others. In a preferred embodiment, the eXtensible on-line analytical processing (XOLAP), is a scalable client / server platform that allows the multi-dimensional analysis of modern data types, as well as traditional relational data, by bringing them all into an internal common XML-based model, without the time and expense of creating a data warehouse.

The invention relates to a method of updating a data storage system. The method updates a raw database using an input data stream based on an input temporal value associated with the input data stream and a raw temporal value associated with the raw database. The method includes updating a derived database associated with the data storage system using the updated raw database based on the input temporal value, a derived temporal value and a user-defined relationship, the derived temporal value being associated with the derived database. The invention also relates to a computer-readable medium. The computer readable medium including instructions, wherein execution of the instructions by at least one computing device updates a data storage system. The invention further relates to a data storage system. The system includes a raw database, a derived database and a computing device operatively coupled to the raw database and the derived database.

A distributed storage and parallel mining method for state monitoring data includes the steps: defining function service models of a remote substation state monitoring unit and a state monitoring communication front-end processor by means of Web service description language, and exchanging the state monitoring data of electric power equipment in an electric power wide area network environment by a simple object access protocol; storing large-scale state monitoring data redundancy in a distributed file system, creating an index table for a state monitoring data file, inserting the index table into a large-scale structural data table and querying the state monitoring data according to a query request; and generating basic data and multi-dimensional analytical data by extracting, converting and loading to built a data warehouse, and parallelly executing association rules, classification and clustered data mining algorithm by means of MapReduce task decomposition and result summary. The distributed storage and parallel mining method can be used for effectively realizing distributed data exchange, redundant storage and rapid parallel processing for state monitoring information of the mass electric power equipment in an intelligent power network environment.

A method and system for providing an integrated building summary dashboard application. The dashboard can be implemented, for example, as a Rich Internet Application (RIA), which integrates with multiple data sources. A data warehouse can be utilized to consolidate and store the data related to a particular dashboard. The dashboard can be configured by integrating high-level metrics with key performance indicators to provide an overview, which can then be granularized to provide detailed information. The dashboard can also be configured to include a data chart that provides a “glimpse” of information associated with key performance indicators. The data chart can be configured to utilize a target bar as input to an interactive what-if analysis, and an output can be utilized to automatically drive control automation system changes.

In various embodiments, the present invention provides methods and systems for creating version-stamps of database objects and for tracking, querying, retrieving, and deploying such versioned database objects in enterprise databases, data marts, or data warehouses. The database objects may be interrelated and may reference one another according to their accurate versions.

Systems and methods which provide translation and / or transformation of messaging data, such as that collected by a distributed management method, for collection, consolidation, processing, and / or analysis are shown. Preferred embodiments of the present invention provide data translation schema to manipulate raw data stored in a first database or databases, such as a staging database, to store useful information in appropriate locations of a second database or databases, such as a data warehouse. Preferably, for each data source monitored in a messaging environment, collected raw messaging data is parsed into appropriate positions of a staging database. Thereafter, data transforms of the present invention preferably manipulate and / or process data of the staging database and provide useful information for storage in a data warehouse.

A data warehouse solution system comprises a metadata model, a user interface and an engine. The metadata model has an information needs model including metadata regarding information needs for building reports by users, and a data information model including metadata describing data that is available for building reports. The user interface has a customer user interface for presenting the information needs model to the users for report generation, and a modeling user interface for presenting the data information model to the users for manipulating data warehouse objects. The engine has a report management service unit for providing report management service using the information needs model, and a data management service unit for providing data management service including generation of a data warehouse using the data information model.

Described herein is an operator-based approach to representing dataflows. A dataflow is a set of one or more operations and one or more flows of data that are processed successively by the set of operations. A dataflow is described by a generic description in which operations in a dataflow are represented by operators. An operator defines a primitive operation (e.g. join, filter), specifying not only the type of operation, but the inputs and outputs, rules, and criteria that govern the operation. From the generic description, a code implementation is generated that may be completely executed on a source database system and target data warehouse, without need for an intermediate system to participate in the execution of the code implementation, such as a data movement engine.

Provided is a day-ahead load reduction system based on a customer baseline load for inducing a user to efficiently manage energy consumption by applying an incentive (user compensation according to load reduction) to achieve load reduction and load decentralization. The day-ahead load reduction system based on a customer baseline load operates in connection with a provider terminal and a user terminal through a network to induce a reduction in the load of a user and includes an AMI / AMR translator collecting load profile data of the user in real time, converting the load profile data and storing the load profile data in a meter data warehouse; a meter data management system monitoring and analyzing the load profile data stored in the meter data warehouse in real time; a demand response operation system managing the demand of the user by using the load profile data and performing overall management, analysis and verification of a day-ahead load reduction event; a customer energy management system operating in connection with the demand response operation system and providing information on the load to the user through the user terminal in real time to allow the user to control the load; and an account system operating in connection with the demand response operation system and the customer energy management system, calculating an incentive for the day-ahead load reduction event and notifying a provider and the user of the incentive through the provider terminal and the user terminal.

A system to load data in a data warehouse includes reception of a plurality of records, determination, for each of the plurality of records, of values representing differences between a record and each other of the plurality of records, identification of at least two of the plurality records as duplicates based on a determined value representing a difference between the two records, and storage of the two records in the data warehouse in association with a same identifier. Determination of the values may include determination, for each of a first plurality of data fields of the record, of a first value representing a difference between data specified in the data field and data specified in a respective one of a second plurality of data fields of one of the other of the plurality of records, determination, for each of the second plurality of data fields, of a second value representing a difference between data specified in the data field and data specified in a respective one of the first plurality of data fields, and determination of a third value representing a difference between the record and the one of the other of the plurality of records based on the determined first and second values.

An Application Programming Interface (API) provides interoperability between different monitoring and administrative components of a data warehouse system that utilizes different standard protocols. One of the protocols is the well known data connectivity protocol, Open Database Connectivity (ODBC) that defines a standard interface between applications and data sources. A second one of the protocols is the well known network management protocol, Simple Network Management Protocol (SNMP) that defines a standard interface between an agent component and a network management system. The API provides a facility that enables the different components to access user and connection information maintained by an ODBC server component derived from servicing client system application SQL queries made by system users.