Abstract: A plurality of water-related sensors may each include an environmental characteristic detection element, a power source, and a communication device to transmit data associated with water-related data at a site. A water impact data store may contain electronic records associated with prior water-related events at other sites along with water-related sensor location data for those sites, and a third-party information interface may receive third-party information. An enterprise analytics platform may automatically analyze the electronic records in the water impact data store to create a predictive analytics algorithm. The data associated with potential water-related data at the site and the third-party information may then be automatically analyzed, in substantially real-time, using the predictive analytics algorithm, and a result of the analysis may then be transmitted (e.g., to a party associated with the site and/or an on-site water shut-off valve).

Abstract: A plurality of water-related sensors may each include an environmental characteristic detection element, a power source, and a communication device to transmit data associated with water-related data at a site. A water impact data store may contain electronic records associated with prior water-related events at other sites along with water-related sensor location data for those sites, and a third-party information interface may receive third-party information. An enterprise analytics platform may automatically analyze the electronic records in the water impact data store to create a predictive analytics algorithm. The data associated with potential water-related data at the site and the third-party information may then be automatically analyzed, in substantially real-time, using the predictive analytics algorithm, and a result of the analysis may then be transmitted (e.g., to a party associated with the site and/or an on-site water shut-off valve).

Abstract: A plurality of water-related sensors may each include an environmental characteristic detection element, a power source, and a communication device to transmit data associated with water-related data at a site. A water impact data store may contain electronic records associated with prior water-related events at other sites along with water-related sensor location data for those sites, and a third-party information interface may receive third-party information. An enterprise analytics platform may automatically analyze the electronic records in the water impact data store to create a predictive analytics algorithm. The data associated with potential water-related data at the site and the third-party information may then be automatically analyzed, in substantially real-time, using the predictive analytics algorithm, and a result of the analysis may then be transmitted (e.g., to a party associated with the site and/or an on-site water shut-off valve).

Abstract: A plurality of stationary noise sensors may each include a microphone to sense noise, a power source, and a communication device to transmit data about noise sensed by the microphone. A plurality of mobile noise sensors may each include a microphone to sense noise, a power source, and a communication device to transmit data about noise sensed by the microphone. A noise information hub may receive data from the stationary noise sensors and mobile noise sensors and provide indications associated with the received data via a cloud-based application. An analytics platform may receive the indications and analyze them to determine noise level exposure information for each of a plurality of locations within a workplace. The analytics platform may also transmit information to facilitate rendering of an interactive graphical operator interface that displays a map-based presentation of the noise level exposure information and prior noise-related results for each of the locations.

Abstract: A computer system for management of financial data relating to funds holding investments includes a data storage device and a server configured for execution of computer-readable instructions embodied in components. The components include an expense component for accessing and verifying fund expense calculation data, and storing the verified fund expense data in a common data format; a pre-trade component for receiving data relating to fund ownership, determining and storing data indicative of fund trading requirements in the common data format; a settlement component for accessing data indicative of instructions for execution of trades, determining data indicative of instructions for payment in settlement of trades consistent with the trade instructions data and providing output data signals indicative of the instructions for payment; and an accounting component for accessing accounting ledgers stored in the data storage devices and updating the accounting ledgers.

Abstract: A computer system has a processor; and a memory storage device in communication with the processor. The processor is configured, in a business cycle, to access fund expense calculation data and perform verification of the fund expense calculation data; receive data indicative of prices of the funds, perform verification with respect to the received price data; after completion of verification of the fund price data, receive data indicative of trades, perform verification on the received trade data; after completion of verification of the trade data, provide output signals indicative of instructions for execution of trades consistent with the verified price and trade data; based on the trade instructions data, determine instructions for payment in settlement of trades, provide output signals indicative of the instructions for payment; and update accounting ledgers with data from the business cycle.

Abstract: A computer system for management of financial data relating to funds holding investments includes a data storage device and a server configured for execution of computer-readable instructions embodied in components. The components include an expense component for accessing and verifying fund expense calculation data, and storing the verified fund expense data in a common data format; a pre-trade component for receiving data relating to fund ownership, determining and storing data indicative of fund trading requirements in the common data format; a settlement component for accessing data indicative of instructions for execution of trades, determining data indicative of instructions for payment in settlement of trades consistent with the trade instructions data and providing output data signals indicative of the instructions for payment; and an accounting component for accessing accounting ledgers stored in the data storage devices and updating the accounting ledgers.

Abstract: A computer system has a processor; and a memory storage device in communication with the processor. The processor is configured, in a business cycle, to access fund expense calculation data and perform verification of the fund expense calculation data; receive data indicative of prices of the funds, perform verification with respect to the received price data; after completion of verification of the fund price data, receive data indicative of trades, perform verification on the received trade data; after completion of verification of the trade data, provide output signals indicative of instructions for execution of trades consistent with the verified price and trade data; based on the trade instructions data, determine instructions for payment in settlement of trades, provide output signals indicative of the instructions for payment; and update accounting ledgers with data from the business cycle.