Abstract: Systems, methods and computer-readable storage media are provided for detecting and simulating issues in a network. The methodology includes identifying: event sequences within network traffic data; filtering out a subset of the event sequences based on characteristics of the subset of the event sequences; generating definition groups by performing clustering on the subset of the event sequences, the definition groups comprising event sequence characteristics associated with one or more network issues; first simulating the subset of the event sequences; generating, based on results of the first simulating, a first issue identification; second simulating a most recent one of the identified event sequences; generating, based on results of the second simulating and the generated definition groups, a second issue identification; and validating the first issue identification with the second issue identification.

Abstract: A method and an apparatus are provided that may be applicable to refrigeration assets, including refrigeration plants and cold-storage facilities comprising large numbers of refrigeration assets. The performance of refrigerators and refrigeration devices may be monitored based on temperature and electrical current and other measurements known or deemed to be correlated with refrigeration performance. Refrigeration assets in need of repair may be identified and a repair process may be specified, classified, managed and optimized. The immediate effectiveness and long-term persistence of repairs may be determined over time. The refrigeration assets may be classified according to reliability, performance, make, model and manufacturer. The effectiveness of repairs may be classified based on measured performance results following repairs.

Abstract: Systems and methods for anomaly detection are described. One aspect includes defining a computing device group comprising a plurality of networked computing devices. The networked computing devices are associated with a computer network. One or more statistical parameters associated with the computing device group are calculated. A set of communication data associated with a networked computing device is received. An operating point geometric distance of the networked computing device relative to the one or more statistical parameters is computed. This operating point geometric distance is based at least in part on the set of communication data. An anomaly is detected based on the operating point geometric distance.

Abstract: A device receives vehicle data from a vehicle telematics device or a client device. The vehicle data includes information relating to a vehicle, a vehicle component, and a sensor associated with the vehicle. The device determines a vehicle profile, and one or more of a driving behavior and a driving location based on the vehicle data. The vehicle profile includes information relating to a condition of the vehicle component. The device determines a wear rate for the vehicle component based on the vehicle profile, and one or more of the driving behavior or the driving location. The device determines a service timeframe for the vehicle component based on the wear rate, the condition of the vehicle component, and a wear threshold. The device generates a recommendation based on the service timeframe, and transmit the recommendation to the client device.

Abstract: Devices in a building may be identified using a combination of power monitoring and network monitoring. Power monitoring may be performed by obtaining a power monitoring signal and processing the power monitoring signal with models to determine information about one or more devices in the building. Network monitoring may be performed by receiving network packets transmitted by devices in the building and processing the data of the network packets to determine information about one or more devices in the building. For some devices and some implementations, information about a device may be determined by using both power monitoring and network monitoring.

Abstract: Provided are systems and methods for creating histograms with distinct value sketches integrated therein and for query processing based on the histograms with distinct value sketches. In one example, the method may include storing a histogram that comprises a representation of a bucket of data from a database and that includes a distinct value sketch with a distinct value attribute that identifies an estimated number of distinct values within the bucket of data, receiving a database query, generating a query execution plan for the database query based on the distinct value attribute of the bucket within the distinct value sketch embedded within the histogram, and executing the database query on the bucket of data from the database based on the generated query execution plan.

Abstract: A method may include receiving data from a device within a network, wherein the data is associated with one or more features of the device, and determining a subset of the features of the device that is associated with a runtime behavior of the device. The method may also perform a univariate analysis on a feature dataset that is associated with the subset of the features of the device, perform a multivariate analysis on the feature dataset that is associated with correlated features in the subset of the features, and generate a device signature based on the univariate analysis and the multivariate analysis.

Abstract: A context-aware healthcare notification system determines, in response to a user device has moved within a proximity of an infusion device and within a proximity of a patient identification device associated with a patient, that the infusion pump is currently experiencing an error condition regarding an administration of medication by the infusion pump to the patient. A corrective action is determined for the error condition and a notification is provided to the user device indicating that the user device is within the proximity of the infusion device and that the infusion device is experiencing the error condition, and information regarding the corrective action. The infusion device may then be caused to adjust the administration of medication by the infusion pump to the patient.

Abstract: A device for monitoring state of apparatus projects a plurality of pieces of measured data to a dimensionless space in which a plurality of display shapes of a plurality of pieces of normal information are represented by a common shape on the basis of a positional relationship between the plurality of display shapes of the plurality of pieces of normal information and the plurality of pieces of measured data, and estimates a distribution of the state of the apparatus on the basis of the plurality of pieces of measured data projected to the dimensionless space.

Abstract: A magnetic sensor arranged close to a component of a rolling machine element measures magnetic flux density in the axial direction and/or radial direction of the component, then the amount of change in magnetic flux density is calculated based on a reference magnetic flux density corresponding to the magnetic flux density before the start of use of the component, and the progression of fatigue of the rolling machine element is determined from the amount of change.

Abstract: Devices in a building may be identified using a combination of power monitoring and network monitoring. Power monitoring may be performed by obtaining a power monitoring signal and processing the power monitoring signal with models to determine information about one or more devices in the building. Network monitoring may be performed by receiving network packets transmitted by devices in the building and processing the data of the network packets to determine information about one or more devices in the building. For some devices and some implementations, information about a device may be determined by using both power monitoring and network monitoring.

Abstract: Devices in a building may be identified using a combination of power monitoring and network monitoring. Power monitoring may be performed by obtaining a power monitoring signal and processing the power monitoring signal with models to determine information about one or more devices in the building. Network monitoring may be performed by receiving network packets transmitted by devices in the building and processing the data of the network packets to determine information about one or more devices in the building. For some devices and some implementations, information about a device may be determined by using both power monitoring and network monitoring.

Abstract: Methods and systems for optimizing the flight of an aircraft are disclosed. The trajectory is divided into segments, each of the segments being governed by distinct sets of equations, depending on engine thrust mode and on vertical guidance (climb, cruise or descent). By assuming two, aerodynamic and engine-speed, models, data from flight recordings are received and a number of parameters from a parameter-optimization engine is iteratively determined by applying a least-squares calculation until a predefined minimality criterion is satisfied. The parameter optimization engine is next used to predict the trajectory point following a given point. Software aspects and system (e.g. FMS and/or EFB) aspects are described.

Abstract: An image of a garment is obtained (101). The garment comprises a marker located on an outside surface of the garment. The marker comprises a code string identifying the garment encoded into a visual symbol. The image is processed to generate a data string representing the visual symbol (102). The data string is used to access activity data associated with a sensor of the garment identified by the code string. The system comprises the garment and one or more electronic devices operable to perform the method.

Abstract: A method for detecting a loss or an undervoltage condition of phase of an electric converter unit, wherein the method comprises: determining an extremum value, such as a maximum and/or a minimum value, of a phase voltage of the electric converter unit for at least one fundamental period of the phase voltage, and comparing the extremum value to a first threshold value, and if, based on the comparison, a first threshold criterion related to the first threshold value is satisfied, then determining the loss or the undervoltage condition of phase.

Abstract: The present disclosure relates to methods and systems for calculating consensus data on a decentralized P2P network using a distributed ledger. Embodiments of the present disclosure provide for calculating, by a network node, data values corresponding to market rates associated with the network node, and sharing the data values with other network nodes. The data values from all network nodes are aggregated and a rule set applied to the aggregated data to determine and outlying values. Any network node that submitted an outlying value is designated as an outlier node. Consensus data is calculated based on data values that exclude data values from the outlier network nodes.

Abstract: Systems and methods for property valuation using automated valuation models are described herein, which involve a complex series of workflows for data processing, automated valuation modeling, and error detection—each of which are capable of leveraging machine learning algorithms/techniques and can be combined and operated together in a specific manner in order to improve data availability and data quality, improve the accuracy of generated property value estimates, improve the performance of the models over time, and allow the property value estimation to be adapted to various use cases. Estimation of property value may involve an ensemble model which reconciles the outputs of different sub-models based on a use case, with the sub-models using different approaches that have their own strengths and weaknesses.

Abstract: An example process determines a first error vector magnitude (EVM) of a signal output by a device under test (DUT). The process includes adding attenuation on a signal path between the DUT and a vector signal analyzer (VSA), where the attenuation is changeable: measuring, at the VSA, at least two second EVMs for different values of attenuation of the signal output by the DUT, where the at least two second EVMs are corrupted by noise from the VSA, and where each of the at least two second EVMs is based on two or more measurements; and determining the first EVM based on a linear relationship that is based on the first EVM, the at least two second EVMs, and a function based on the attenuation, where the first EVM is without at least some of the noise from the VSA.

Abstract: A work support apparatus, which assigns an operator to an operation performed in a workplace, includes a communication device used for the operation in the workplace, and holds information on a relationship between a process, an operation, and each of divided areas of the workplace and the communication device used for the operation, information on a predicted communication throughput by the communication device in each of the divided areas, and information on an operator-requested communication throughput for a combination of the operation and an operator. For each operation corresponding to the process, the apparatus determines assignment of an operator to the operation, referring to the predicted communication throughput by the communication device and the operator-requested communication throughput, and outputs a result of the operator assignment.

Abstract: This disclosure relates to method and system for identifying common requirements from applications. The method includes receiving a plurality of requirements from a plurality of applications. For at least two of the plurality of requirements, the method further includes determining a similarity index through each of a set of analysis techniques. For at least two of the plurality of requirements, the method further includes calculating a final similarity index based on the similarity index determined through each of a set of analysis techniques. The method further includes generating a similarity matrix for the plurality of requirements based on the final similarity index. The method further includes generating a hierarchical cluster tree for the plurality of requirements based on the final similarity index corresponding to each of the plurality of requirements.

Abstract: In one or more embodiments, one or more systems, one or more methods, and/or one or more processes may: receive a first multiple telemetry data from multiple information handling systems (IHSs); determine first multiple performance health scores respectively associated with the IHSs; determine first multiple availability scores respectively associated with the IHSs; determine first multiple information handling system (IHS) update churn scores respectively associated with the IHSs; determine, via a machine learning process, a second distribution of the IHSs to the multiple IHS groups based at least on the first multiple IHS and performance health scores, the first multiple availability scores, and the first multiple IHS churn scores; and provide a first software update to IHSs of each IHS group.

Abstract: Disclosed are a variable capacity compressor operation mode determination method and device, a variable capacity compressor and an air conditioner. The variable capacity compressor operation mode determination method includes: detecting a current value of a compressor at present as A1 before switching an operation mode of the compressor; detecting the current value of the compressor at present as A2 after switching the operation mode of the compressor and reaching a preset time; comparing A1 and A2, determining that the switching of the operation mode of the compressor is successful when a ratio relationship between A1 and A2 satisfies a preset condition, and determining that switching of the operation mode of the compressor is failed when the ratio relationship between A1 and A2 dissatisfies a preset condition.

Abstract: An image display device configured to display, on a display screen, a predetermined image captured in a state in which multiple components to be mounted on a board are held by a mounting head, including: a display control section configured to selectably display, on the display screen, relevant information relating to the multiple components in association with each component, together with the predetermined image, and when a predetermined operation involving selection of any of the relevant information is performed by an operator, display an enlarged image of one component corresponding to the selected relevant information of the predetermined image being displayed.

Abstract: In one embodiment, a method includes accessing, by one or more computing devices, user sensor data from one or more wearable sensors on one or more players and optical sensor data from one or more cameras, where the user sensor data includes location data of the player and acceleration data, and where the optical sensor data includes several frames portraying the players and several scenes from an athletic event. The one or more computing devices analyzes, using a machine-learning model, the optical sensor data to identify the players and one or more actions during the athletic event and calculates one or more player metrics for the players based on the user sensor data and the identified actions. The one or more computing devices normalizes the player metrics for the players based on one or more weighted parameters and provides a report to one or more users.

Abstract: Methods and systems disclosed herein describe an experimentation platform that identifies one or more proxy metrics for testing a configuration and/or new design of a product. The experimentation platform may receive an input identifying one or more configurations, components, and/or products to test and/or optimize. The experimentation platform may identify one or more performance metrics used to test and/or optimize the one or more configurations, components, and/or products. Based on the one or more identified performance metrics, the experimentation platform may identify one or more proxy metrics to represent the one or more performance metrics. The one or more identified proxy metrics may be one or more engagement metrics or a combination of engagement metrics. The experimentation platform may then use the one or more proxy metrics to analyze the one or more configurations, components, and/or products and recommend a configuration, component, and/or product for deployment.

Abstract: A system for a bot factory environment is disclosed. The system may receive a graphical process model. The system may compile a bot based on the graphical process model. The system may validate the bot to generate a validated bot. The system may register the validated bot to a registry table. The system may deploy the validated bot to a runtime environment.

Abstract: A self-authenticating electrocardiography and physiological sensor monitor is provided. A strip includes two rounded ends with a mid-section between the rounded ends. An electrocardiographic electrode is provided on each of the rounded ends. A flexible circuit is mounted to a surface of the strip and includes a circuit trace electrically coupled to each of the electrocardiographic electrodes. A flash memory is positioned on one of the rounded ends to store ECG data collected via the electrocardiographic electrodes and a battery is positioned on one of the rounded ends. A processor is positioned on one of the rounded ends and configured to execute an authentication protocol that checks voltage of the battery and a state of the flash memory, and determines an expiration of the strip.

Abstract: According to an aspect, there is provided an apparatus for use in detecting malingering by a first subject in a test of physical and/or mental function of the first subject.

Abstract: Methods, apparatus, and computer program products that can display applications on a mobile computing device based on different relative positions are disclosed herein. One method includes determining, by a processor, different relative positions of a mobile computing device user while a user is performing an activity. In some embodiments, the method further includes toggling display of a plurality of applications on the mobile computing device based on the different relative positions of the mobile computing device while the user is performing the activity. Apparatus and computer program products that include hardware and/or software that can perform the methods for display applications on a mobile computing device based on position are also disclosed herein.

Abstract: A mobile vehicle diagnostic device (MVDD) for acquiring data about a vehicle, the device comprising: a housing configured to be mechanically coupled to the vehicle so that, when the housing is mechanically coupled to the vehicle, vibration generated by the vehicle during its operation causes the housing to vibrate; acoustic sensors disposed within the housing and configured to acquire sound generated by the vehicle during its operation, the acoustic sensors comprising first and second acoustic sensors respectively oriented in first and second directions, wherein the first and second directions are at least 30 degrees apart; at least one dampening device disposed in the housing and positioned to dampen vibration of the acoustic sensors caused by operation of the vehicle; and at least one vibration sensor disposed within the housing and configured to sense vibration in the housing caused by the operation of the vehicle.

Abstract: Apparatus and method for automated electric vehicle charging. One embodiment provides a method for automated charging. The method includes storing, in a memory, a rate profile of a power grid, the rate profile including at least one time period and at least one rate associated with the at least one time period. The method further includes generating, using the electronic processor and based on the rate profile, a charging profile, and charging, using a charging controller of a charger coupled to the electronic processor, based on the charging profile.

Abstract: A computer implemented system is described for assigning executable jobs to pipeline sets, whereby the jobs may be network based computer jobs. The assigning includes generating a weight for each pipeline set of multiple pipeline sets to obtain multiple weights. Generating a weight includes obtaining duty cycle metrics for pipeline software threads in the pipeline set. The duty cycle metrics include a measure of an amount of time that a corresponding pipeline thread is executing and actively processing data. Generating the weight further includes determining the weight for the pipeline set based at least in part on the duty cycle metrics. The method further includes assigning a job request to a target pipeline set selected from the pipeline sets according to a weighted random algorithm, wherein the weighted random algorithm uses the weights.

Abstract: Disclosed in embodiments of the present disclosure are an anomaly detection method and apparatus. The method includes: detecting first feature data of collected first data using each anomaly detection algorithm, respectively, where N is an integer greater than or equal to 1; in response to first detection results corresponding to one or more anomaly detection algorithms being abnormal, performing reliability verification on the first feature data of the first data to obtain first verification results; and determining second detection results according to the first verification results and according to whether reliability of the one or more anomaly detection algorithms is greater than or equal to a first preset threshold.

Abstract: A plating support system is provided and includes a simulator that predicts an in-plane uniformity value of a plating film formed on a substrate based on assumed conditions for an electroplating treatment of the substrate; a numerical analysis data storage unit that stores numerical analysis data in which each assumed condition is associated with the in-plane uniformity value for plural assumed conditions; a regression analysis unit that estimates a model that the in-plane uniformity value is an objective variable and variables of assumed conditions are explanatory variables by regression analysis based on the numerical analysis data; and an implement condition search unit that uses the estimated model to search for implement conditions that are recommended values of the assumed conditions related to the in-plane uniformity of the plating film formed in the electroplating treatment of the substrate to be plated.

Abstract: An object detection apparatus is configured to be mounted to a vehicle to detect objects existing around the vehicle. The object detection apparatus includes an output acquisition unit, an accuracy estimation unit, a weighting setting unit and a position calculation unit. The output acquisition unit is configured to acquire output signals from a plurality of radar sensors mounted respectively at different positions in the vehicle. The accuracy estimation unit is configured to estimate, based on the output signals from the radar sensors, detection accuracies of the radar sensors. The weighting setting unit is configured to set, according to the detection accuracies of the radar sensors, weighting for the output signals from the radar sensors. The position calculation unit is configured to calculate a position of an object by using in combination the output signals from the radar sensors reflecting the set weighting.

Abstract: Access level and security group information can be updated for a data instance without having to take down or recycle the instance. A data instance created in a data environment will have at least one default security group. Permissions can be applied to the default security group to limit access via the data environment. A control security group can be created in a control environment and associated with the default security group. Permissions can be applied and updated with respect to the control security group without modifying the default security group, such that the data instance does not need to be recycled or otherwise made unavailable. Requests to perform actions with respect to the control security groups are made via the control environment, while allowing native access to the data via the data environment.

Abstract: Various implementations of the present application set forth a computer-implemented method comprising obtaining, by a low-power hub device, a first set of data published by an edge device, where the low-power hub device subscribes to at least a subset of data published by the edge device, generating, by the low-power hub device, a second set of data from the first set of data by inputting the first set of data into a machine learning (ML) model executing on the low-power hub device, and transmitting the second set of data to a remote server computer system.

Abstract: A data generation device includes a large-scale data acquisition unit that obtains large-scale data that is large-scale learning data used in learning of a first determination model for determining a machining state of a workpiece machined by a first machine tool; an adaptive data acquisition unit that obtains adaptive data for use in generation of learning data for use in learning of a second determination model for determining a machining state of a workpiece machined by a second machine tool; and a learning data generation unit that converts the large-scale data based on the adaptive data to generate adapted large-scale data for use in learning of the second determination model.

Abstract: The presentation of sensor network information can be provided to a user via a customized dashboard web interface. The dashboard web interface can be based on customized transformation and alert functions that can be applied to one or more sensor channels of data produced from sensors at a monitored location. The customized alerts can provide real-time monitoring of targeted conditions at the monitored location.

Abstract: A three-dimensional force loading device for a motor spindle is provided, and relates to the field of motor spindle testing. The device including a bottom plate; a torque loading assembly configured for testing torque performance of the motor spindle, and the torque loading assembly is in transmission connection with the motor spindle; a sleeve shell rotatably sleeved on the motor spindle, the sleeve shell is fixed along an axis direction of the motor spindle; a radial force loading assembly configured for testing radial force performance of the motor spindle, and the radial force loading assembly is fixedly connected with the sleeve shell; an axial force loading assembly configured for testing axial force performance of the motor spindle; and a intermediate force transmission mechanism connected with the sleeve shell and the axial force loading assembly.

Abstract: An embodiment features a method of generating test data. An application-level schema corresponding to a source relational database is received. The schema defines constraints comprising one or more of inter-field, inter-record, and inter-object constraints between related data in the source relational database. A random walk is performed on a graph of nodes representing data in the source relational database. At respective ones of the nodes, corresponding ones of the data in the source relational database are selected along a path ordered in accordance with the constraints defined in the schema. Synthetic test data is generated based on one or more statistical models of the data selected from the source relational database. Data values are generated for respective fields of an object defined in the schema, and data values are generated for records related to the object based on one or more of the constraints defined in the schema.

Abstract: A qualification system for gas turbine engine components includes a computer system configured to receive a set of measured parameters for each gas turbine engine component in a plurality of substantially identical gas turbine engine components, and determine a variation model based on the set of measured parameters. The computer system includes at least one simulated engine model configured to determine a predicted operation of each gas turbine engine component in the plurality of substantially identical gas turbine engine components, a correlation system configured to correlate variations in the set of parameters for each of the gas turbine engine components with a set of the predicted operations of each gas turbine engine, thereby generating a predictive model based on the variations. The computer system also includes a qualification module configured to generate a qualification formula based on the predictive model.

Abstract: Some embodiments optimize a local, pending transaction queue of transactions locally executed by a client application to be synchronized with a server. Multiple transactions, which may be executed by the client application for a same local object, need to be synchronized with a server. The transactions, in queue for synchronization with the server, may include transactions to add, delete, or modify objects. Each set of transactions for a particular object in queue for synchronization with the server corresponds to a particular net effect on the server if synchronized individually to the server. The client application may replace the set of transactions for the particular object with a reduced set of transactions corresponding to the net effect, or entirely removed without replacement if there is no net effect of the set of transactions on the server.

Abstract: A system for enabling and disabling operation of manufacturing machines provides a manufacturing machine user interface that facilitates receiving quality control information regarding the manufacturing machine from a user. For quality assurance purposes, the computer system of the manufacturing machine may decide whether to enable operation of the manufacturing machine based on the received quality control information. The computer system of the manufacturing machine may also decide to disable operation of the manufacturing machine if the quality control information provided is incomplete, out of date, or otherwise insufficient to indicate the manufacturing machine is ready for safe and effective operation.

Abstract: A device comprises a platform constructed and arranged to be mounted to one or more solar array modules and one or more solar irradiance sensors on the platform configured to receive incident solar energy, the one or more solar irradiance sensors oriented on the platform so that the received incident solar energy is comparable to that received by the solar array modules, the one or more solar irradiance sensors providing solar irradiance signals in response to the incident solar energy. A processor is on the platform, the processor configured to receive the solar irradiance signals and, in response, generating a performance reference metric based on the solar irradiance signals, the performance reference metric related to the expected performance of the one or more solar array modules to which the platform is mounted. A transmitter is on the platform, the transmitter configured to periodically transmit the performance reference metric to a receiver.

Abstract: An example method comprises receiving historical sensor data from sensors of components of wind turbines, training a set of models to predict faults for each component using the historical sensor data, each model of a set having different observation time windows and lead time windows, evaluating each model of a set using standardized metrics, comparing evaluations of each model of a set to select a model with preferred lead time and accuracy, receive current sensor data from the sensors of the components, apply the selected model(s) to the current sensor data to generate a component failure prediction, compare the component failure prediction to a threshold, and generate an alert and report based on the comparison to the threshold.

Abstract: A method including: acquiring present operating state data of a photovoltaic array, wherein the photovoltaic array includes at least two photovoltaic strings in parallel, and the present operating state data includes present output current values of the photovoltaic strings and present irradiances corresponding to the photovoltaic strings. Determining present characteristic parameters of the photovoltaic array based on the present operating state data, wherein the present characteristic parameters include a present characteristic current value, a present current discrete rate and the present irradiances; and determining an operating state of the photovoltaic array by comparing the present characteristic parameters with standard characteristic parameters of the photovoltaic array.

Abstract: Techniques for providing acoustic feedback are disclosed. Several audio clips (21-23) have a synchronized beat. A sensor signal (16) received from a sensor has a sensor signal range divided by first and second thresholds (11, 12) into at least three sensor signal sub-ranges (13-15). An audio signal is output in response to the received sensor signal (16), the output audio signal comprising one or more of the audio clips. If the received sensor signal (16) exceeds the first threshold (11), at least one (21) of the one or more audio clips is discontinued and/or at least one additional audio clip (22) of the audio clips is initiated in synchronization with the one or more audio clips (21). If the received sensor signal (16) falls below the second threshold (12), at least one (21) of the one or more audio clips is discontinued and/or at least one additional audio clip (23) of the audio clips is initiated in synchronization with the one or more audio clips (21).

Abstract: Examples include a computing system for receiving memory class of service parameters; setting performance monitoring configuration parameters, based at least in part on the memory class of service parameters, for use by a performance monitor of a memory controller to generate performance monitoring statistics by monitoring performance of one or more workloads by a plurality of processor cores based at least in part on the performance monitoring configuration parameters; receiving the performance monitoring statistics from the performance monitor; and generating, based at least in part on the performance monitoring statistics, a plurality of memory bandwidth settings to be applied by a memory bandwidth allocator to the plurality of processor cores to dynamically adjust priorities of memory bandwidth allocated for the one or more workloads to be processed by the plurality of processor cores.

Abstract: The present disclosure is directed to a method for managing performance indicators of a number of buildings. The method includes providing a user interface to select at least a first physical premise and a second physical premise to be compared from a plurality of physical premises of an organization. The method includes identifying one or more performance indicators associated with an entity of the organization. The method includes collecting data that associates the first and second physical premises with the one or more performance indicators. The method includes displaying, through the user interface, one or more comparison results of the one or more performance indicators among the first and second physical premises.