Information decision making and display
An information processing and display system includes a first database storing milestones associated with an approval process. A computing system is configured to access the first database and estimate start dates for the milestones. A risk of delay is determined for the milestones based on information associated with the approval process, and first adjusted start dates are estimated based on the determined risk of delay. Alternative actions associated with the determined risk of delay are determined, and second adjusted start dates based on the alternative actions are estimated. The computer generates a display of the first adjusted start dates, the alternative actions, and the second adjusted start dates.
1. A method, comprising:
determining, by a computer server, a plurality of milestones for an approval process, wherein the plurality of milestones is stored in a first database;
estimating, by the computer server and via a predictive analytics engine, start dates for each of the plurality of milestones;
providing, by the computer server an application programming interface (API) to one or more service providers;
receiving, by the computer server and via the API from the one or more service providers, information associated with the approval process;
storing, by the computer server, the received information associated with the approval process in a second database;
accessing, by the computer server, from the second database the information associated with the approval process;
determining, by the computer server and via the predictive analytics engine, a risk of delay for the plurality of milestones based on the accessed information;
estimating, by the computer server and via the predictive analytics engine, first adjusted start dates based on the determined risk of delay;
determining, by the computer server and via the predictive analytics engine, alternative actions associated with the determined risk of delay;
estimating, by the computer server and via the predictive analytics engine, second adjusted start dates based on the alternative actions; and
generating and displaying, by the computer server over a network and to a user computer, a dynamic user interface that includes a display of the first adjusted start dates, the alternative actions, and the second adjusted start dates.
2. The method of claim 1 , wherein the second database is an information database and wherein the computer server is connectable to the information database via a network.
3. The method of claim 1 , further comprising receiving a selection of the alternative actions from a user via the dynamic user interface.
4. The method of claim 3 , further comprising estimating the second adjusted start dates based on the selection received from the user via the dynamic user interface.
5. The method of claim 1 , wherein the displaying is done in real time.
6. A non-transitory computer-readable data storage medium storing instructions that, when executed by a computer server, causes the computer server to perform steps comprising:
determining a plurality of milestones for an approval process, wherein the plurality of milestones is stored in a first database;
estimating, via a predictive analytics engine, start dates for each of the plurality of milestones;
providing an application programming interface (API) to one or more service providers;
receiving, via the API from one or more service providers, information associated with the approval process;
storing the received information associated with the approval process in a second database;
accessing from the second database the information associated with the approval process;
determining, via a predictive analytics engine, a risk of delay for the plurality of milestones based on the accessed information;
estimating, via a predictive analytics engine, first adjusted start dates based on the determined risk of delay;
determining, via a predictive analytics engine, alternative actions associated with the determined risk of delay;
estimating, via a predictive analytics engine, second adjusted start dates based on the alternative actions; and
generating and displaying, over a network and to a user computer, a dynamic user interface that includes a display of the first adjusted start dates, the alternative actions, and the second adjusted start dates.
7. The non-transitory computer-readable data storage medium of claim 6 , wherein the computer server is connectable to the first database and the second database via the network.
8. The non-transitory computer-readable data storage medium of claim 6 , storing instructions that when executed by the computer server, causes the computer server to further perform steps comprising:
receiving a selection of the alternative actions from a user via the dynamic user interface.
9. The non-transitory computer-readable data storage medium of claim 8 , storing instructions that when executed by the computer server, causes the computer server to further perform steps comprising:
estimating the second adjusted start dates based on the selection received from the user via the dynamic user interface.
10. The non-transitory computer-readable data storage medium of claim 6 , wherein the displaying is done in real time.
11. A computer server, comprising:
a computing processing unit; and
a memory storing instructions that, when executed by the computing processing unit, causes the computing processing unit to perform steps comprising:
determining a plurality of milestones for an approval process, wherein the plurality of milestones is stored in a first database;
estimating, via a predictive analytics engine, start dates for each of the plurality of milestones;
providing an application programming interface (API) to one or more service providers;
receiving, via the API from one or more service providers, information associated with the approval process;
storing the received information associated with the approval process in a second database;
accessing from the second database the information associated with the approval process;
determining, via a predictive analytics engine, a risk of delay for the plurality of milestones based on the accessed information;
estimating, via a predictive analytics engine, first adjusted start dates based on the determined risk of delay;
determining, via a predictive analytics engine, alternative actions associated with the determined risk of delay;
estimating, via a predictive analytics engine, second adjusted start dates based on the alternative actions; and
generating and displaying, over a network and to a user computer, a dynamic user interface that includes a display of the first adjusted start dates, the alternative actions, and the second adjusted start dates.
12. The computer server of claim 11 , wherein the second database is an information database and wherein the computer server is connectable to the information database via a network.
13. The computer server of claim 11 , the memory storing instructions that, when executed by the computer processing unit, causes the computer processing unit to further perform steps comprising:
receiving a selection of the alternative actions from a user via the dynamic user interface.
14. The computer server of claim 13 , the memory storing instructions that, when executed by the computer processing unit, causes the computer processing unit to further perform steps comprising:
estimating the second adjusted start dates based on the selection received from the user via the dynamic user interface.
15. The computer server of claim 11 , wherein the display of the dynamic user interface is done in real time.