# US 2014/0156344 A1 · Auspicate system and method > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2014/0156344 A1 - Document ID: US20140156344A1 - Status: Published application - Kind: A1 - Application number: 13/921,842 - Filed: 2013-06-19 - Published: 2014-06-05 - Earliest claimed: 2012-06-19 - Inventors: EDWIN D'CRUZ - Web page: https://patentgrep.com/patent/US20140156344A1 ## CPC - G06Q 10/063: Operations research, analysis or management - G06Q: INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR ## Abstract Provided is a computerized system and method for performing business analytics and predictive analytics algorithms. The system includes a computer interlace operating on a user's computer device. The computer device includes a processor and associated computer memory, a display and one or more input device. The computer device is in communication with one or more computer database. The processor and memory are configured to provide the interface for the user to access the computer database(s). The processor and memory are configured to perform the steps of accepting input instructions from the input device to access information from one or more database, accepting input from the input device providing instruction to perform business analytics or a predictive analytics algorithm, performing a the business analytics or predictive analytics algorithm, and displaying on the display device the results. ## Claims ### Claim 1 A computerized system for performing business analytics, the system comprising: a computer interface operating on a user's computer device, the computer device further comprising a processor and associated computer memory, a display and one or more input device, the computer device in communication with one or more computer database, the processor and memory configured to provide the interface for the user to access the computer database; the processor and memory further configured to perform the steps of: accepting input instructions from the input device to access information from one or more database; accepting input from the input device providing instruction to perform business analytics; performing business analytics; and, displaying on the display device the results of the performed business analytics. ### Claim 2 (depends on 1) The computerized system according to claim 1, wherein the computer device is a mobile computing device. ### Claim 3 (depends on 2) The computerized system according to claim 2, wherein the mobile computing device is selected from the group consisting of: a smartphone, a tablet computer, and a notebook computer. ### Claim 4 A computerized system for performing predictive analytics, the system comprising: a computer interface operating on a user's computer device, the computer device further comprising a processor and associated computer memory, a display and one or more input device, the computer device in communication with one or more computer database, the processor and memory configured to provide the interface for the user to access the computer database; the processor and memory further configured to perform the steps of: accepting input instructions from the input device to access information from one or more database; accepting input from the input device providing instruction to perform a predictive analysis using information accessed from the one or more database; performing a predictive analysis algorithm; and, displaying on the display device the results of performing predictive analysis. ### Claim 5 (depends on 4) The computerized system according to claim 4, wherein the computer device is a mobile computing device. ### Claim 6 (depends on 5) The computerized system according to claim 5, wherein the mobile computing device is selected from the group consisting of: a smartphone. a tablet computer, and a notebook computer. ### Claim 7 (depends on 4) The computerized system according to claim 4, wherein the predictive analysis algorithm is sample sensitivity with coefficient correlation and determination. ### Claim 8 (depends on 4) The computerized system according to claim 4, wherein the predictive analysis algorithm is a tree map algorithm. ### Claim 9 (depends on 4) The computerized system according to claim 4, wherein the predictive analysis algorithm is coverage analysis. ### Claim 10 (depends on 4) The computerized system according to claim 4, wherein the predictive analysis algorithm is targeting by payer or plan type. ### Claim 11 (depends on 4) The computerized system according to claim 4, wherein the predictive analysis algorithm is prescriber segmentation. ### Claim 12 (depends on 4) The computerized system according to claim 4, wherein the predictive analysis algorithm is new market segment tor existing products. ### Claim 13 (depends on 4) The computerized system according to claim 4, wherein the predictive analysis algorithm is managed care business analysis. ### Claim 14 (depends on 4) The computerized system according to claim 4, wherein the predictive analysis algorithm is market expansion. ### Claim 15 (depends on 4) The computerized system according to claim 4, wherein the predictive analysis algorithm is detail sensitivity with coefficient correlation and determination. ### Claim 16 (depends on 4) The computerized system according to claim 4, wherein the predictive analysis algorithm is mapping. ### Claim 17 A method for performing business analytics comprising: operating a computer interface on a user's computer device, the computer device further comprising a processor and associated computer memory, a display and one or more input device, the computer device in communication with one or more database, the processor and memory configured to provide the interface tor the user to instruct the processor to perform the steps of: accepting input instructions from the input device to access information from one or more database; accepting input from the input device providing instruction to perform business analytics; performing business analytics; and, displaying on the display device the results of the performed business analytics. ### Claim 18 (depends on 17) The method according to claim 17, wherein the computer device is a mobile computing device. ### Claim 19 A method for performing predictive analytics comprising: operating a computer interface on a user's computer device, the computer device further comprising a processor and associated computer memory, a display and one or more input device, the computer device in communication with one or more database, the processor and memory configured to provide the interface for the user to instruct the processor to perform the steps of: accepting input instructions from the input device to access information from one or more database; accepting input from the input device providing instruction to perform a predictive analysis using information accessed from the one or more database; performing a predictive analysis algorithm; and, displaying on the display device the results of performing predictive analysis. ### Claim 20 (depends on 19) The method according to claim 19, wherein the predictive analysis algorithm is selected from the group consisting of: sample sensitivity with coefficient correlation and determination, tree map algorithm, coverage analysis, targeting by payer or plan type, prescriber segmentation, new market segment, for existing products, managed care business analysis, market expansion, detail sensitivity with coefficient correlation and determination, and mapping.