System and method for economic analytics and business outreach, including layoff aversion

• US 10,380,616 B2
• Filed: 03/11/2016
• Issued: 08/13/2019
• Est. Priority Date: 06/10/2015
• Status: Active Grant

• Current Assignee: Cheryl Parker
• Original Assignee: Cheryl Parker
• Inventors: Parker, Cheryl
• Primary Examiner(s): Miller, Alan S
• Application Number:
  US15/067,362
• Publication Number:
  US 20160364740A1
• Time in Patent Office: 1,250 Days
• Field of Search: 705 711- 742
• CPC Class Codes: G06Q 10/105 Human resources
• CPC Class Codes: G06Q 30/0205 Location or geographical consideration
• CPC Class Codes: G06T 11/206 Drawing of charts or graphs
• CPC Class Codes: G06T 2200/24 involving graphical user interfaces [GUIs]

Abstract

A computing system supports economic analytics and business outreach, including layoff aversion. The system includes a current and historical business Geographical Information System (GIS) with a database of a region and labor market web-services, a regional economy visual and spatial analytics interactive data visualization (IDV) Graphical User Interface (GUI), and a map-based customer relations management (CRM) GUI for local employer outreach map-based CRM. The IDV GUI and CRM GUI are employed to compile a list of employers of interest, and to apply a financial stress filter to the list of employers. The financial stress filter refers to an external database for a financial stress score for each employer in the list and based thereon determines which employers in the list are in danger of layoffs. Each employer in danger of layoffs is stored in a record in the GIS, and may be the subject of a layoff aversion outreach campaign.

Claims

1. A method for supporting economic analytics and business outreach, including layoff aversion, the method employing a system comprising:

a current and historical business Geographical Information System (GIS) including a database of a region and labor market web-services;

a regional economy visual and spatial analytics interactive data visualization (IDV) Graphical User Interface (GUI); and

a map-based customer relations management (CRM) GUI for local employer outreach map-based CRM,

the method comprising;

receiving a selection via the IDV GUI of a geographic region of interest, the IDV GUI in response to the selection displaying a visual representation of a number of major industry sectors present within the selected region, each sector within the visual representation having a first visual prominence therein corresponding to a first numerical prominence of the sector within the selected region, and a second visual prominence therein corresponding to a second numerical prominence of the sector within the selected region;

receiving further selections via the IDV GUI of geographic sub-regions and/or industry sub-sectors of the selected region in order to focus onto local employers of interest in the region;

receiving a selection via the IDV GUI to obtain occupations, job listings, and/or business lists corresponding to a sub-region of interest and/or a sub-sector of interest;

receiving further selections via the IDV GUI to compile a list of employers of interest;

receiving a selection via the IDV GUI to transfer the list of employers to the map-based CRM GUI;

the CRM GUI upon receiving the list and related information from the IDV GUI opening and displaying a map focused on the selected region, the map displayed by the CRM GUI including a map layer showing the selected region, and an overlaid point layer with a point representing a geographic location of each employer in the list of employers, whereby the list of employers compiled with the IDV GUI is spatially displayed by the CRM GUI;

receiving further selections via the CRM GUI to further compile the list of employers of interest;

receiving a selection via the CRM GUI to apply a financial stress filter to the further compiled list of employers, the CRM GUI in response to the selection to apply the financial stress filter referring to an external database for a financial stress score for each employer in the further compiled list and based thereon determining which employers in the further compiled list are in danger of layoffs; and

receiving a selection via the CRM GUI to store each employer in the further compiled list which is in danger of layoffs in a record in the GIS, whereby the employers in the record in the GIS may be the subject of a layoff aversion outreach campaign, and the record of the employers in the GIS may be used to make edits, bring in contacts, schedule tasks, and record comments as the layoff aversion outreach campaign progresses,

the visual representation being a bubble chart, each sector being represented on the bubble chart as a bubble sized according to employment size of the sector within the selected region and being positioned according to importance of the sector within the selected region vs. employment size of the sector within the selected region, the method further comprising receiving a selection via the IDV GUI to play the bubble chart and in response thereto compiling a bubble chart for each of several previous years and then sequentially displaying the compiled bubble charts to show the progression of the sectors over the previous years,

the system including a processor, a memory, an inputting device, and a display, the GIS, IDV GUI, and CRM GUI being instantiated in the memory and manipulated by the processor, the selections being received by the inputting device, and the map and visual representation being shown in the display,

the method further comprising;

defining a location quotient for each sector, the location quotient defining how specialized the sector is in the selected region relative to a super-region which includes the selected region;

positioning the bubble for each sector on the bubble chart according to an importance of the sector of the bubble within the selected region, the importance being defined by the location quotient for the sector; and

displaying in the bubble chart a line representing a baseline location quotient for the super-region with respect to an amount of employment in each sector, the baseline location quotient being 1 such that any sector to one side of the line has a location quotient greater than 1, is more important within the region relative to the super-region, and is more specialized in the region.

2. The method of claim 1 wherein each sector within the visual representation has a prominence therein corresponding to a prominence of the sector within the selected region in terms of one of employment and average salary.

3. The method of claim 1 wherein each sector within the visual representation is positioned in one direction according to relative prominence as compared with other sectors and in an orthogonal direction according to total employment.

4. The method of claim 1 comprising receiving, in an iterative manner, a selection via the IDV GUI of a geographic sub-region of the selected region, the IDV GUI in response to the selection displaying a visual representation of a number of major industry sectors present within the selected sub-region, each sector within the visual representation having a prominence therein corresponding to a prominence of the sector within the selected sub-region.

5. The method of claim 1 comprising receiving, in an iterative manner, a selection via the IDV GUI of a displayed major industry sector of the selected region, the IDV GUI in response to the selection displaying a visual representation of a number of major industry sub-sectors of the selected sector, each sub-sector within the visual representation having a prominence therein corresponding to a prominence of the sub-sector within the selected sub-region.

6. The method of claim 1 further comprising the IDV GUI receiving a selection of a particular employer in the record in the GIS, identifying relevant attributes of the selected employer, and performing a search for all employers sharing the relevant attributes but having a less-severe financial stress score and thus not as likely to engage in layoffs.

7. A system for supporting economic analytics and business outreach, including layoff aversion, the system comprising:

a current and historical business Geographical Information System (GIS) including a database of a region and labor market web-services;

a regional economy visual and spatial analytics interactive data visualization (IDV) Graphical User Interface (GUI); and

a map-based customer relations management (CRM) GUI for local employer outreach map-based CRM,

the IDV GUI;

receiving a selection of a geographic region of interest, the IDV GUI in response to the selection displaying a visual representation of a number of major industry sectors present within the selected region, each sector within the visual representation having a first visual prominence therein corresponding to a first numerical prominence of the sector within the selected region, and a second visual prominence therein corresponding to a second numerical prominence of the sector within the selected region;

receiving further selections of geographic sub-regions and/or industry sub-sectors of the selected region in order to focus onto local employers of interest in the region;

receiving a selection to obtain occupations, job listings, and/or business lists corresponding to a sub-region of interest and/or a sub-sector of interest;

receiving further selections to compile a list of employers of interest;

receiving a selection to transfer the list of employers to the map-based CRM GUI;

the CRM GUI;

upon receiving the list and related information from the IDV GUI, opening and displaying a map focused on the selected region, the map displayed by the CRM GUI including a map layer showing the selected region, and an overlaid point layer with a point representing a geographic location of each employer in the list of employers, whereby the list of employers compiled with the IDV GUI is spatially displayed by the CRM GUI;

receiving further selections to further compile the list of employers of interest;

receiving a selection to apply a financial stress filter to the further compiled list of employers, the CRM GUI in response to the selection to apply the financial stress filter referring to an external database for a financial stress score for each employer in the further compiled list and based thereon determining which employers in the further compiled list are in danger of layoffs; and

receiving a selection via the CRM GUI to store each employer in the further compiled list which is in danger of layoffs in a record in the GIS, whereby the employers in the record in the GIS may be the subject of a layoff aversion outreach campaign, and the record of the employers in the GIS may be used to make edits, bring in contacts, schedule tasks, and record comments as the layoff aversion outreach campaign progresses,

the visual representation being a bubble chart, each sector being represented on the bubble chart as a bubble sized according to employment size of the sector within the selected region and being positioned according to importance of the sector within the selected region vs. employment size of the sector within the selected region, the method further comprising receiving a selection via the IDV GUI to play the bubble chart and in response thereto compiling a bubble chart for each of several previous years and then sequentially displaying the compiled bubble charts to show the progression of the sectors over the previous years,

the system including a processor, a memory, an inputting device, and a display, the GIS, IDV GUI, and CRM GUI being instantiated in the memory and manipulated by the processor, the selections being received by the inputting device, and the map and visual representation being shown in the display,

the IDV GUI further;

defining a location quotient for each sector, the location quotient defining how specialized the sector is in the selected region relative to a super-region which includes the selected region;

positioning the bubble for each sector on the bubble chart according to an importance of the sector of the bubble within the selected region, the importance being defined by the location quotient for the sector; and

displaying in the bubble chart a line representing a baseline location quotient for the super-region with respect to an amount of employment in each sector, the baseline location quotient being 1 such that any sector to one side of the line has a location quotient greater than 1, is more important within the region relative to the super-region, and is more specialized in the region.

8. The system of claim 7 wherein each sector within the visual representation has a prominence therein corresponding to a prominence of the sector within the selected region in terms of one of employment and average salary.

9. The system of claim 7 wherein each sector within the visual representation is positioned in one direction according to relative prominence as compared with other sectors and in an orthogonal direction according to total employment.

10. The system of claim 7 wherein the IDV GUI receives, in an iterative manner, a selection of a geographic sub-region of the selected region, the IDV GUI in response to the selection displaying a visual representation of a number of major industry sectors present within the selected sub-region, each sector within the visual representation having a prominence therein corresponding to a prominence of the sector within the selected sub-region.

11. The system of claim 7 wherein the IDV GUI receives, in an iterative manner, a selection of a displayed major industry sector of the selected region, the IDV GUI in response to the selection displaying a visual representation of a number of major industry sub-sectors of the selected sector, each sub-sector within the visual representation having a prominence therein corresponding to a prominence of the sub-sector within the selected sub-region.

12. The system of claim 7 wherein the IDV GUI receives a selection of a particular employer in the record in the GIS, identifies relevant attributes of the selected employer, and performs a search for all employers sharing the relevant attributes but having a less-severe financial stress score and thus not as likely to engage in layoffs.