Patent application number | Description | Published |
20110313812 | ACCOUNTING FOR DATA DEPENDENCIES IN PROCESS MODELS, ANALYSIS, AND MANAGEMENT - A method and system comprising a process model analysis module to perform analysis of a process supported by a process system. The analysis is performed based on process information which includes a logical process model defining a series of activities. The process model information further includes IT system dependency information which includes datastore dependency information indicative of datastores which are accessed in execution of respective activities. The process model information also includes data dependency information indicative of dependency of process activities on data in the one or more datastores. | 12-22-2011 |
20120102498 | RESOURCE MANAGEMENT USING ENVIRONMENTS - Apparatus, systems, and methods may operate to receive time-based reservation requests for predefined resource environments comprising resource types that include hardware, software, and data, among others. Additional activities may include detecting a conflict between at least one of the resource types in a first one of the predefined resource environments and at least one of the resource types in a second one of the predefined resource environments, and resolving the conflict in favor of the first one of the predefined resource environments by reserving additional resource elements in a cloud computing architecture and/or reserving a less capable version of the second one of the predefined resource environments. Additional apparatus, systems, and methods are disclosed. | 04-26-2012 |
20120216081 | METHOD AND SYSTEM FOR ROOT CAUSE ANALYSIS OF DATA PROBLEMS - A method and system comprising an issue report module to receive a data problem report indicative of the occurrence of a data problem during the performance of a process. The data problem report includes at least one descriptor to identify a problematic data item and may include at least one activity descriptor to identify a particular process activity during which the data problem was encountered. A root cause analysis engine performs automated root cause analysis based on the at least one descriptor of the problematic data item, to identify at least one potential cause of the data problem. The system may include at least one memory having stored thereon data dependency information which comprises, with respect to each of a plurality of entity attributes, information regarding process elements and/or process activities which contribute to the provisioning of data items which are instances of the respective entity attribute, automated root cause analysis being based on the data dependency information. The system may include a data issue repository comprising information regarding earlier data problem reports and respective results of root cause analyses. | 08-23-2012 |
20120232914 | MARKETPLACE FOR MARKET INFORMATION - Apparatus, systems, and methods may operate to receive raw provider data in machine-readable form, where the raw provider data is associated with and provided by data contributors according to incentives made available to the data contributors. Additional activity may include filtering the raw provider data to provide filtered provider data, verifying that data taken from the filtered provider data meets a predefined level of trustworthiness, transforming at least some of the trustworthy data by formatting the data as is, or in summary analysis form according to one of multiple reporting formats to provide formatted data, and publishing the formatted data to at least one subscriber. Additional apparatus, systems, and methods are disclosed. | 09-13-2012 |
20120290543 | ACCOUNTING FOR PROCESS DATA QUALITY IN PROCESS ANALYSIS - A method and system comprising an analysis module to perform automated analysis of a process supported by a process system. The analysis is performed based on data quality information that indicates a quality of process data stored in datastores to facilitate performance of the process by consumption of the process data. The system may further include process model information defining a plurality of process activities, the automated analysis being based at least in part on the process model information. The data quality information may indicate the age, validity, completeness, integrity, consistency, and/or accuracy of the process data. The analysis may be to calculate a risk of failure of the process, or may be to diagnose a cause of process failure. | 11-15-2012 |
20120317081 | DETECTING WASTEFUL DATA COLLECTION - A method and system comprises a duplication identifier module to analyze data input information to automatically identify duplicate expected inputs associated with a process. The system includes logical process model information defining a logically structured series of process activities and data input information representing a plurality of expected inputs associated with respective process activities, with each expected input being indicative of expected collection of a corresponding data element during execution of the associated process activity. Each duplicate expected input comprises one of the plurality of expected inputs for which there is at least one other expected input with respect to a common corresponding data element. | 12-13-2012 |
20140196051 | RESOURCE MANAGEMENT USING ENVIRONMENTS - Apparatus, systems, and methods may operate to receive time-based reservation requests for predefined resource environments comprising resource types that include hardware, software, and data, among others. Additional activities may include detecting a conflict between at least one of the resource types in a first one of the predefined resource environments and at least one of the resource types in a second one of the predefined resource environments, and resolving the conflict in favor of the first one of the predefined resource environments by reserving additional resource elements in a cloud computing architecture and/or reserving a less capable version of the second one of the predefined resource environments. Additional apparatus, systems, and methods are disclosed. | 07-10-2014 |
20140372386 | DETECTING WASTEFUL DATA COLLECTION - A method and system comprising a duplication identifier module to analyze data input information to automatically identify duplicate expected inputs associated with a process are shown. The system includes logical process model information defining a logically structured series of process activities and data input information representing a plurality of expected inputs associated with respective process activities, with each expected input being indicative of expected collection of a corresponding data element during execution of the associated process activity. Each duplicate expected input comprises one of the plurality of expected inputs for which there is at least one other expected input with respect to a common corresponding data element. | 12-18-2014 |