Abstract: The present disclosure details a method and system used for turning human participants who control avatars in a virtual world setting into real life marketing leads. In one embodiment, a virtual location is presented within a virtual world to facilitate interaction with an avatar. The avatar is identified within a master data management system, and a profile of the human behind the avatar is created or retrieved. To encourage the human user to provide real-world information through the avatar within the virtual world, an incentive is offered and awarded as necessary. The real-world information about the human user, such as address or demographic information about the human user is collected and stored in the profile, and eventually synchronized with a CRM system. As appropriate, the data collected and compiled in the CRM system may be used to launch marketing campaigns.

Abstract: The invention relates to a computer-implemented method for classifying a set of data values. For each of the data values of the set of data values, a set of one or more terms associated with the respective data value is determined using one or more first knowledge bases. A set of common terms is determined. The set of common terms comprises terms present in more than one of the sets of terms. For each of the common terms, a number of hits for a lookup query against one or more second knowledge data bases is determined. One or more common terms of the set of common terms with the smallest number of hits are determined and a result is returned. The result comprises the one or more common terms with the smallest number of hits as one or more candidate classes for classifying the set of data values.

Abstract: Methods, systems, and computer program products for deriving a multi-pass matching algorithm for data de-duplication are provided herein. A method includes identifying multiple passes across multiple databases using a set of one or more blocking columns derived from a set of trained input data; identifying, in each of the multiple passes, one or more columns across the multiple databases that match one or more of the blocking columns; selecting a given pass from the multiple passes, wherein said given pass comprises a maximum number of matching columns within the multiple passes; determining, for the given pass, data that conform to the given pass comprising (i) a set of matching columns, (ii) one or more matching types and (iii) one or more weights; and determining one or more subsequent passes across the multiple databases iteratively by removing the data that conform to the given pass.

Abstract: The invention provides for a method for processing a plurality of data sets (105; 106; 108; 110-113; DB1; DB2) in a data repository (104) for storing at least unstructured data, the method comprising: —providing (302) a set of agents (150-168), each agent being operable to trigger the processing of one or more of the data sets, the execution of each of said agents being automatically triggered in case one or more conditions assigned to said agent are met, at least one of the conditions relating to the existence, structure, content and/or annotations of the data set whose processing can be triggered by said agent; —executing (304) a first one of the agents; —updating (306) the annotations (115) of the first data set by the first agent; and —executing (308) a second one of the agents, said execution being triggered by the updated annotations of the first data set meeting the conditions of the second agent, thereby triggering a further updating of the annotations of the first data set.

Abstract: During migration of data from at least one data source to a target system, data quality is determined by obtaining metadata associated with the target system, automatically generating instantiated rules for assessing a quality of data to be loaded from the at least one data source into the target system, where the instantiated rules are dependent upon the obtained metadata associated with the target system, and applying a quality analysis based upon the instantiated rules to the data to be loaded into the target system. The quality analysis provides an indication of a level of compliance of the data with requirements of the target system.

Abstract: Embodiments of the present invention provide systems, methods, and computer program products for processing data in an extract, transform, and load system. Embodiments of the present invention provide protective enhancements to be applied to data during extract-transform-load operations, including protections that can prevent unauthorized access and/or modifications to data stored on an intermediate computer system. Embodiments of the present invention can afford users with the ability to modify the protective enhancements and provide users with transformation operations compatible with the protective enhancements during extract-transform-load operations.

Abstract: The invention provides for checking data quality of data of an application program by a data quality management system. At least one of a plurality of jobs are executed for evaluating the data for compliance with one or more quality criteria. The runtime behavior of the at least one executed job is monitored to determine a current runtime behavior of the executed job. The monitored job is reclassified by reallocating the job to a job set representing the determined current runtime behavior.

Abstract: Task patterns may exist in completed tasks within a task handling system. A task pattern may comprise task data and metadata and an action that the task handling system uses to complete the task. A task pattern may be identified and compared with task patterns in a database. If the identified task pattern matches a task in the database, a task pattern count for the task in the database can be incremented. If this incrementing results in the task pattern count exceeding a threshold, then the system can search for and identify other active tasks that match the task pattern. The appropriate action for the task pattern can be applied to each of the matched active tasks and each of the active tasks can then be closed.

Abstract: Task patterns may exist in completed tasks within a task handling system. A task pattern may comprise task data and metadata and an action that the task handling system uses to complete the task. A task pattern may be identified and compared with task patterns in a database. If the identified task pattern matches a task in the database, a task pattern count for the task in the database can be incremented. If this incrementing results in the task pattern count exceeding a threshold, then the system can search for and identify other active tasks that match the task pattern. The appropriate action for the task pattern can be applied to each of the matched active tasks and each of the active tasks can then be closed.

Abstract: Embodiments of the present invention provide systems, methods, and computer program products for processing data in an extract, transform, and load system. Embodiments of the present invention provide protective enhancements to be applied to data during extract-transform-load operations, including protections that can prevent unauthorized access and/or modifications to data stored on an intermediate computer system. Embodiments of the present invention can afford users with the ability to modify the protective enhancements and provide users with transformation operations compatible with the protective enhancements during extract-transform-load operations.

Abstract: Embodiments relate to operating a data processing system. An aspect includes receiving a request for data storage by an application server, said request comprising restricted-access data. Another aspect includes processing the request in the first application server thereby extracting said restricted-access data from the request. Another aspect includes encrypting said restricted-access data with a cryptographic key associated with said privacy regime to a cipher representation. Another aspect includes defining a masking rule relative to the field designated for storage of the cipher representation, the masking rule defining a set of privacy regimes applicable to processing of the restricted-access data. Another aspect includes forwarding the cipher representation and the masking rule to the shared database by a database client.

Abstract: Embodiments of the present invention provide, systems, methods, and computer program products for processing data in an extract, transform, and load system. Embodiments of the present invention provide protective enhancements to be applied to data during extract-transform-load operations, including protections that can prevent unauthorized access and/or modifications to data stored on an intermediate computer system. Embodiments of the present invention can afford users with the ability to modify the protective enhancements and provide users with transformation operations compatible with the protective enhancements during extract-transform-load operations.

Abstract: Embodiments of the present invention provide, systems, methods, and computer program products for processing data in an extract, transform, and load system. Embodiments of the present invention provide protective enhancements to be applied to data during extract-transform-load operations, including protections that can prevent unauthorized access and/or modifications to data stored on an intermediate computer system. Embodiments of the present invention can afford users with the ability to modify the protective enhancements and provide users with transformation operations compatible with the protective enhancements during extract-transform-load operations.

Abstract: A method, computer program product and system for data sampling in a storage system. The storage system includes a dataset comprising records and a buffer. The dataset is scanned record-by-record to determine whether the current record belongs to a random sample. If so, then the current record may be added to a first set of records. Otherwise, at least one storage score may be calculated or determined for the current record using attribute values of the current record. Next, it may be determined whether the buffer includes available size for storing the current record. In case the buffer comprises the available size, the current record may be stored in the buffer. Otherwise, at least part of the buffer may be free up. A subsample of the dataset may be provided as a result of merging the first set of records and at least part of the buffered records.

Abstract: A method, computer program product and system for data sampling in a storage system. The storage system includes a dataset comprising records and a buffer. The dataset is scanned record-by-record to determine whether the current record belongs to a random sample. If so, then the current record may be added to a first set of records. Otherwise, at least one storage score may be calculated or determined for the current record using attribute values of the current record. Next, it may be determined whether the buffer includes available size for storing the current record. In case the buffer comprises the available size, the current record may be stored in the buffer. Otherwise, at least part of the buffer may be free up. A subsample of the dataset may be provided as a result of merging the first set of records and at least part of the buffered records.

Abstract: The present invention relates to a method for processing data quality exceptions in a data processing system, the data processing system having access to one or more data sources and having access to multiple technical support systems, the multiple technical support systems having one or more predefined technical tasks. The method comprises providing a predefined grouping rule for assigning data quality exceptions to exception groups, and associating each exception group using at least one technical task; receiving a first description of at least a first data quality exception in a data set of the first data source; using the grouping rule for assigning the first data quality exception to at least a first exception group using the first description, and for associating the first exception group with a first technical support system; routing by the exception engine at least part of the first description to the first technical support system.

Abstract: The invention provides for a method for processing a plurality of data sets (105; 106; 108; 110-113; DB1; DB2) in a data repository (104) for storing at least unstructured data, the method comprising:—providing (302) a set of agents (150-168), each agent being operable to trigger the processing of one or more of the data sets, the exe-cution of each of said agents being automatically triggered in case one or more conditions assigned to said agent are met, at least one of the conditions relating to the existence, structure, content and/or annotations of the data set whose processing can be triggered by said agent;—executing (304) a first one of the agents;—updating (306) the annotations (115) of the first data set by the first agent; and—executing (308) a second one of the agents, said execution being triggered by the updated annotations of the first data set meeting the conditions of the second agent, thereby triggering a further up-dating of the annotations of the first data set.

Abstract: Data to be loaded into a target system includes entities having corresponding unique primary data value and secondary data values. The secondary data values have associated foreign key relationships, which links the secondary data value to the primary data value of another entity. In loading the data, the entities are split into insertion leaf groups by execution of an iteration process, each iteration involving generation of a respective set of insertion leaf groups containing entities whose secondary data values have no foreign key relationships or only foreign key relationships with the primary data values of entities of the insertion leaf groups generated during any prior iteration. The iteration process is executed until there are no such entities are left. A sequence of generation of the sets of insertion leaf groups is recorded, and the sets of insertion leaf groups are consecutively loaded into the target system according to the sequence.

Abstract: Task patterns may exist in completed tasks within a task handling system. A task pattern may comprise task data and metadata and an action that the task handling system uses to complete the task. A task pattern may be identified and compared with task patterns in a database. If the identified task pattern matches a task in the database, a task pattern count for the task in the database can be incremented. If this incrementing results in the task pattern count exceeding a threshold, then the system can search for and identify other active tasks that match the task pattern. The appropriate action for the task pattern can be applied to each of the matched active tasks and each of the active tasks can then be closed.

Abstract: Task patterns may exist in completed tasks within a task handling system. A task pattern may comprise task data and metadata and an action that the task handling system uses to complete the task. A task pattern may be identified and compared with task patterns in a database. If the identified task pattern matches a task in the database, a task pattern count for the task in the database can be incremented. If this incrementing results in the task pattern count exceeding a threshold, then the system can search for and identify other active tasks that match the task pattern. The appropriate action for the task pattern can be applied to each of the matched active tasks and each of the active tasks can then be closed.