Abstract: An analytics server for scalable predictive analysis for analytics as a software service in multi-tenant environment is provided. The analytics server automatically validates portability of a predictive model from a first tenant to a second tenant by comparing value distribution of parameters between data inputs of the first tenant and the second tenant. The analytics server further automatically detects source data changes over a configurable time horizon as relevant to predictive model inputs, by comparing value distribution of parameters between two data inputs from a same tenant separated by a selected time horizon.

Abstract: Generating an output prioritized list of computerized work-items for prioritizing work based on a set of prioritized computer-executable rules includes a structured way of associating contributions and expenses with computerized work-items and enhancing current technological processes of selecting computerized work-items to meet prioritized computer-executable rules.

Abstract: Techniques for evaluating a user experience experiment designed to use one user experience variant selected from a number of user experience variants as a global-best user experience variant to be used across users relative to a machine model trained to use user data to identify a user-preferred user experience variant. Disclosed systems and methods provide techniques for optimizing user response. In one embodiment, a global-best user experience variant is evaluated by comparing an aggregate user response determined for the global-best user experience variant to an aggregate user response determined using user response predictions determined using the trained machine model, and using the outcome of the comparison to make a recommendation as to which one of the global-best user experience variant and the trained machine model to adopt for providing a user experience to users.

Abstract: Approaches for a model-driven tool-agnostic reporting approach are provided. In one example, a report request is received from a business intelligence reporting application, from which a graphical template and query template are created, wherein the graphical template comprises the visual presentation of data responsive to the request and the query template specifies how the data responsive to the request is to be computed. The report created by the approaches described herein is compatible with multiple business intelligence reporting applications.

Abstract: A system that suggests and refines priority, severity, historical resolution, resolution time and assignment group to resolve auto-generated incidents is provided. The system leverages an incident characterization list tracking essence key phrases associated with historical incidents generated by an application performance management (APM) system and a machine data (MD) analysis system. The system automatically obtains a first auto-generated incident, from the APM system or the MD analysis system, based on any specified search criteria being met, or detection of a deviation in the value of key metrics from a specified threshold value.

Abstract: An automated system for recommending predictor variable values for improving predictive outcomes of a predictive model is provided. The automated system recommends appropriate predictor variable values for changeable predictor variables that improve a predictive outcome of the predictive model by (i) computing predictive outcomes for each input record during a batch ETL process and (ii) determining appropriate predictor variable values that lead to improved predictive outcomes, using the code generated extended ETL jobs updated to perform rescoring using a combination of different values of the changeable predictor variables while honoring constraints between the changeable predictor variables, or by enabling an end user to perform said rescoring by changing values of the changeable predictor variables on the fly to determine most suitable predictor variable values that lead to improved predictive outcomes.

Abstract: A method of generation of a unified view of a software development process that spans a plurality of distinct software development applications having distinct software models is provided. The method includes enhancing a software development application selected as primary to provide the unified view of the software development process, or alternatively using a data warehouse to provide the unified view of the software development process via reports and dashboards created based on a unified software model. The method provides end to end visibility, auditability, and support for calculation of one or more flow metrics, not only for the software development process, but also for a set of stages, individual stages and sub-stages of the software development process. The method also provides an ability to relate the one or more flow metrics to business outcomes.

Abstract: A method for enabling performance of a protected computer operation on a protected item without pop-up confirmation dialogs being generated, is provided. The method includes performing a first action on a first element of a user interface of a computing device, the first action is associated with the protected computer operation by processing a first response that is a first input into the computing device. Performing the first action on the first element of the user interface enables a second element of the user interface to perform the protected computer operation. The protected computer operation is performed by processing a second response that is a second input into the computing device.

Abstract: Systems and methods for training a machine learning (ML) model for predicting probabilities for binary outcomes to automatically generate positive class predictions close to an ideal one probability and negative class predictions close to an ideal zero probability are disclosed. The method includes generating a predictive probability (PP) curve based on a ML algorithm and transforming the PP curve into a curve with probabilities spread close to ideal one probability for positive class predictions (PCP) indicating successful prediction and close to ideal zero probability for negative class predictions (NCP) indicating failed prediction, thereby introducing a valley in the transformed probability curve separating PCP from NCP. The PP curve is transformed by one of (1) minimizing distance between: (a) ideal one probability and PP value of PCP; and (b) ideal zero probability and PP value of NCP, and (2) maximizing distance of PP values from center of PP curve.

Abstract: An analytics server for scalable predictive analysis for analytics as a software service in multi-tenant environment is provided. The analytics server automatically validates portability of a predictive model from a first tenant to a second tenant by comparing value distribution of parameters between data inputs of the first tenant and the second tenant. The analytics server further automatically detects source data changes over a configurable time horizon as relevant to predictive model inputs, by comparing value distribution of parameters between two data inputs from a same tenant separated by a selected time horizon.

Abstract: A system that suggests and refines priority, severity, historical resolution, resolution time and assignment group to resolve auto-generated incidents is provided. The system leverages an incident characterization list tracking essence key phrases associated with historical incidents generated by an application performance management (APM) system and a machine data (MD) analysis system. The system automatically obtains a first auto-generated incident, from the APM system or the MD analysis system, based on any specified search criteria being met, or detection of a deviation in the value of key metrics from a specified threshold value.

Abstract: 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.

Abstract: A method for enabling performance of a protected computer operation on a protected item without pop-up confirmation dialogs being generated, is provided. The method includes performing a first action on a first element of a user interface of a computing device, the first action is associated with the protected computer operation by processing a first response that is a first input into the computing device. Performing the first action on the first element of the user interface enables a second element of the user interface to perform the protected computer operation. The protected computer operation is performed by processing a second response that is a second input into the computing device.

Abstract: A method of operating a community parking system includes generating sensor data with a plurality of vehicles corresponding to vehicle parking spaces and parked vehicles located in a region, transmitting the sensor data to a parking data system, and generating parking map data with the parking data system based on the sensor data, the parking map data including a location of the vehicle parking spaces. The method also includes generating parking service data with the parking data system based on the sensor data, the parking service data identifying a status of each vehicle parking space as either occupied or unoccupied, and transmitting the parking service data to a particular vehicle of the plurality of vehicles to assist an operator of the particular vehicle in locating one of the vehicle parking spaces having an unoccupied status.

Abstract: Approaches for a model-driven tool-agnostic reporting approach are provided. In one example, a report request is received from a business intelligence reporting application, from which a graphical template and query template are created, wherein the graphical template comprises the visual presentation of data responsive to the request and the query template specifies how the data responsive to the request is to be computed. The report created by the approaches described herein is compatible with multiple business intelligence reporting applications.

Abstract: Approaches for integrating an operational reporting system with a warehouse based reporting system. The operational reporting system and the warehouse based reporting system may be offered and supported by different vendors, and so may be deployed in different clouds or as separate product installations in case of on-premise software, or these systems may be offered and supported by a single vendor, and so may be deployed in the same cloud or as part of a common product installation in case of on-premise software. The integrated system uses a common or consistent dimensional model to link related measures of the operational reporting system and the warehouse based reporting system, which allows for analysis of real time content with historical and cross subject perspective provided alongside in the same interface. The integration also facilitates trend analysis and predictive analytics in real time.

Abstract: Automatically assessing the health and predicting a probability of outage of a configuration item. A system automatically assesses the health of a configuration item and determines the probability of its outage by analyzing information associated with the current conditions of the configuration item obtained from an information technology service management (ITSM) system, an application performance management (APM) system or a machine data (MD) analysis system. The system further determines a probability of outage and health degradation of a set of configuration items impacted due to a Change by matching essence key phrases of the requested Change with outage predictor list for outage probability and health degradation predictor list for health degradation probability. The system further monitors configuration items impacted by a Change by analyzing information for the associated configuration items obtained from the ITSM, APM and MD analysis systems before and after the requested Change.

Abstract: An automated input gathering system for defining, refining or validating a data warehouse star schema for a given data source. The automated data input gathering system includes a source metadata analysis module, an operational reporting environment analysis module, a usage analysis module and a data profiling module.

Abstract: 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.

Abstract: Automatically determining time threshold guarantees for metrics like completion time or first response time for tasks or items. A system relies on the historical tasks data with completion or first response times. The system plots a graphical representation between completion time and a percentage of tasks completed and uses sophisticated analysis of slopes at different points of the graphical representation to determine time threshold guarantees below a specified maximum completion or first response time threshold, and above a specified minimum percentage of completion. The system also compensates for a variety of factors which may be changed from the time historical data was obtained to the present time for which time threshold guarantees are being determined. In absence of historical customer data, the system makes the recommendations based on available datasets of peer customers.