Abstract: A method, apparatus, system, and computer program product for creating a forecasting model for payroll records. Payroll records are received for a group of employers. The payroll records comprise granular data parameters about employees of the group of employers. A forecasting model is created the that aligns the payroll records to high-level employment data. Creating the forecasting model includes identifying predictor variables from the granular data parameters of the payroll records. Creating the forecasting model includes generating a set of basis functions from the predictor variables. Creating the forecasting model includes combining the set of basis functions to create the forecasting model.

Abstract: A method, apparatus, system, and computer program product for creating a forecasting model for payroll records. Payroll records are received for a group of employers. The payroll records comprise granular data parameters about employees of the group of employers. A forecasting model is created that aligns the payroll records to high-level employment data. Creating the forecasting model includes identifying predictor variables from the granular data parameters of the payroll records. Creating the forecasting model includes generating a set of basis functions from the predictor variables. Creating the forecasting model includes combining the set of basis functions to create the forecasting model.

Abstract: A method, system and apparatus for accessing an internal database that includes at least one payroll database, identifying an individual, a first location, a second location, a future date, and a time of day. Responsive to identifying the individual, the first location, the second location, the date, and the time of day, determining a predicted travel time for the individual between the first location and the second location at the time of day on the future date.

Abstract: A method, apparatus, and computer program product for digitally presenting statistically-relevant business insights into a set of business metrics for an organization. A computer system identifies a set of organizational characteristics from human resources data of employees of a plurality of organizations, and applies a selected inclusion criteria to the set of organizational characteristics to identify a set of candidate organizations. The computer system identifies a set of benchmark organizations from the set of candidate organizations, and creates a fixed panel of the benchmark organizations. The computer system applies the fixed panel to the human resources data of employees of a plurality of organizations to create an analysis dataset that consists of human resources data of employees of the benchmark organizations. The computer system generates a business insight into the set of business metrics of the organization based on the analysis dataset, and digitally presents the business insight.

Abstract: A method for generating a communicable disease policy plan by using machine learning. The process identifies a number of workplace policies for a number of business entities. The workplace policies comprise a number of dimensions of data collected from a number of sources. The process collects employment data for each of the business entities. The employment data includes sick leave data about employees of the plurality of business entities. The process determines metrics for the sick leave data during a given time interval; simultaneously models the workplace policies and the metrics for the sick leave data to identify correlations among the number of dimensions of data and generalize rules for predicting effective workplace policies; predicts a number of effective workplace policies for a particular business entity; and generates a communicable disease policy plan for the particular business entity based on the number of effective workplace policies.

Abstract: A method for generating a communicable disease policy plan by using machine learning. The process identifies a number of workplace policies for a number of business entities. The workplace policies comprise a number of dimensions of data collected from a number of sources. The process collects employment data for each of the business entities. The employment data includes sick leave data about employees of the plurality of business entities. The process determines metrics for the sick leave data during a given time interval; simultaneously models the workplace policies and the metrics for the sick leave data to identify correlations among the number of dimensions of data and generalize rules for predicting effective workplace policies; predicts a number of effective workplace policies for a particular business entity; and generates a communicable disease policy plan for the particular business entity based on the number of effective workplace policies.

Abstract: A method, apparatus, system, and computer program product for creating a forecasting model for payroll records. Payroll records are received for a group of employers. The payroll records comprise granular data parameters about employees of the group of employers. A forecasting model is created the that aligns the payroll records to high-level employment data. Creating the forecasting model includes identifying predictor variables from the granular data parameters of the payroll records. Creating the forecasting model includes generating a set of basis functions from the predictor variables. Creating the forecasting model includes combining the set of basis functions to create the forecasting model.

Abstract: A method, computer system, and computer program product that aggregates data regarding a plurality of factors correlated with demographic parameters; performs iterative analysis on the data using machine learning to construct a predictive model of purchasing propensity; populates, using the predictive model, a database with predicted values of spending propensity for selected demographic parameters; converts the predicted values of spending propensity in the database into percentages of observed values of spending propensity for a selected group of people within the selected demographic parameters over a specified time period to create indices of spending propensity; and rank orders the people within the selected group according to their indices of spending propensity.

Abstract: A method, a computer system, and a computer program product for managing inventory for an organization. The computer system identifies human resources data regarding employees of organizations. The human resources data comprises geolocation data based at least partially on a geolocation of the organization and geolocations of the employees. The computer system determines a change in market dynamics relating to a set of geographic regions based at least partially on the human resources data. The computer system identifies transaction data for transactions involving a business merchant within a particular geographic region and a consumer. The computer system generates a suggested inventory for the business merchant. The suggested inventory is based at least partially on the determined change in market dynamics for the set of geographic regions in the transaction data for the business merchant.

Abstract: A method, computer system, and computer program product that aggregates sample data regarding a plurality of factors associated with employment and geographic location; performs iterative analysis on the sample data using machine learning to construct a predictive model; populates, using the predictive model, a database with predicted values of real estate demand for a selected set of predefined geographic regions; converts the predicted values of real estate demand in the database into percentages of observed values of real estate demand for geographic regions within the selected set over a specified time period to create indices of real estate demand; and rank orders the geographic regions within the selected set according to their indices of real estate demand.

Abstract: A method, computer system, and computer program product that aggregates data regarding a plurality of factors correlated with income; performs iterative analysis on the data using machine learning to construct a predictive model; populates, using the predictive model, a database with predicted income values for a selected range of housing costs; converts the predicted income values in the database into percentages of observed income values for a selected group of people within the selected range of housing costs over a specified time period to create indices of financial stress; and rank orders the people within the selected group according to their indices of financial stress.

Abstract: A method, a computer system, and a computer program product for predicting changes in market dynamics for a geographic region. A computer system identifies human resource data regarding employees of organizations. The human resource data comprises geolocation data based at least partially on a geolocation of the organization and geolocations of the employees. The computer system generates a plurality of location aggregates for different combinations of dimensions of the human resource data across a plurality of different geolocations. The computer system identifies a set of matched markets for a particular geographic region based on similarities among facts for the different combinations of dimensions among the plurality of location aggregates. The computer system identifies a predicted change in market dynamics for the particular geographic region based on a change in market dynamics for the set of matched markets.

Abstract: A method and apparatus for reducing an amount of resources required for address validation. An address validation program running on a processor unit configures a tax information table in a payroll database to have an authorization column indicating whether an employee having data in a row of the tax information table has authorized release of data in the row; receives a validation request for at least one validated address entered in one or more request fields in a graphical user interface connected to the processor unit; searches only rows having an indication of authorization in the authorization column of the tax information table; and responsive to finding at least one current address in the tax information table, displays the at least one current address in one or more response fields of the graphical user interface as the at least one validated address.

Abstract: A method, computer system, and computer program product are provided for automatically causing an action to be performed and a payment for the action to be made in a blockchain environment. The blockchain environment receives a transaction. The transaction is configured to activate a smart contract. In response to being activated by the transaction, the smart contract issues a message within the blockchain environment. The message causes the action to be performed at a location device and an indication of the payment for the action to be rendered on a display of a device.

Abstract: A method, computer system, and computer program product that aggregates sample data regarding a plurality of factors associated with income and geographic location; performs iterative analysis on the sample data using machine learning to construct a predictive model; populates, using the predictive model, a database with predicted values of encountered income for a selected set of predefined signage locations; converts the predicted values of encountered income in the database into percentages of observed values of encountered income for signage locations within the selected set over a specified time period to create indices of encountered income; and rank orders the signage locations within the selected set according to their indices of encountered income.

Abstract: A method, computer system, and computer program product that aggregates sample data regarding a plurality of factors associated with employment and geographic location; performs iterative analysis on the sample data using machine learning to construct a predictive model; populates, using the predictive model, a database with predicted values of real estate demand for a selected set of predefined geographic regions; converts the predicted values of real estate demand in the database into percentages of observed values of real estate demand for geographic regions within the selected set over a specified time period to create indices of real estate demand; and rank orders the geographic regions within the selected set according to their indices of real estate demand.

Abstract: A method, computer system, and computer program product that aggregates sample data regarding a plurality of factors associated with income and geographic location; performs iterative analysis on the sample data using machine learning to construct a predictive model; populates, using the predictive model, a database with predicted values of encountered income for a selected set of predefined signage locations; converts the predicted values of encountered income in the database into percentages of observed values of encountered income for signage locations within the selected set over a specified time period to create indices of encountered income; and rank orders the signage locations within the selected set according to their indices of encountered income.

Abstract: A method, apparatus, and computer program product for digitally presenting statistically-relevant business insights into a set of business metrics for an organization. A computer system identifies a set of organizational characteristics from human resources data of employees of a plurality of organizations, and applies a selected inclusion criteria to the set of organizational characteristics to identify a set of candidate organizations. The computer system identifies a set of benchmark organizations from the set of candidate organizations, and creates a fixed panel of the benchmark organizations. The computer system applies the fixed panel to the human resources data of employees of a plurality of organizations to create an analysis dataset that consists of human resources data of employees of the benchmark organizations. The computer system generates a business insight into the set of business metrics of the organization based on the analysis dataset, and digitally presents the business insight.

Abstract: A method, computer system, and computer program product are provided for automatically causing an action to be performed and a payment for the action to be made in a blockchain environment. The blockchain environment receives a transaction. The transaction is configured to activate a smart contract. In response to being activated by the transaction, the smart contract issues a message within the blockchain environment. The message causes the action to be performed at a location device and an indication of the payment for the action to be rendered on a display of a device.

Abstract: A method, computer system, and computer program product that aggregates sample payroll data regarding a plurality of factors associated with take home pay; performs iterative analysis on the data using machine learning to construct a predictive model; populates, using the predictive model, a database with predicted values of take home pay for selected populations; converts the predicted values take home pay in the database into percentages of observed values of take home pay for the selected populations over a specified time period to create indices of take home pay; and rank orders the selected populations according to their indices of take home pay.