US 2018/0005146 A1Published application

Knowledge-based decision support systems and method for process lifecycle automation

AssigneeTata Consultancy Services Limited

InventorsSreedhar CHINTALAPATY, Seekar GHODGAONKAR, Dhamodararaj KANNAN, Aashish CHANDRA

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Abstract

Computer implemented knowledge-based decision support system and method is provided. The method includes registering one or more software applications and data sources; defining processes to be implemented by executing the registered one or more software applications; orchestrating execution of the registered one or more software applications for implementing the processes; monitoring system performance based on the execution of the registered one or more software applications; generating analytics data related to the monitored system performance; updating a database with historical data using the generated analytics data; generating an analytical report by analyzing, using a machine learning technique, the historical data stored in the database as well as the generated analytics data; generating automatically user interface based on at least one of a layout and a specification provided by a user; modifying execution of the registered one or more software applications based on the generated analytical report; and displaying data from the generated analytical report using the user interface.

Claims16

Dependent claims

A knowledge-based decision support system providing process lifecycle automation, the decision support system comprising:

a hardware processor;
an Input/Output (I/O) interface comprising a business administrator interface;
a memory unit storing instructions, wherein the memory unit comprises at least one of a process administration subsystem, a process orchestration subsystem, instrumentation and process analytics subsystem, a monitoring logs and system dashboard subsystem and a recommendation engine, wherein instructions in the memory unit when executed by the hardware processor, cause the hardware processor to perform acts comprising:
registering one or more software applications and data sources, wherein the registered one or more software applications comprise at least one external software application, wherein the external software application is a predictive analytical model;
defining one or more processes to be implemented by executing the registered one or more software applications;
orchestrating execution of the registered one or more software applications for implementing the one or more processes;
monitoring system performance based on the execution of the registered one or more software applications;
generating analytics data related to the monitored system performance;
updating a database with historical data using the generated analytics data;
generating an analytical report by analyzing, using a machine learning technique, the historical data stored in the database and the generated analytics data;
generating automatically, a user interface based on user inputs, wherein the user inputs comprise at least one of a layout and a specification provided by a user;
modifying execution of the registered one or more software applications based on the generated analytical report;
and
displaying data from the generated analytical report using the automatically generated user interface.

11 more elements

A knowledge-based decision support method providing process lifecycle automation, the method comprising:

registering, via a hardware processor, one or more software applications and data sources, wherein the registered one or more software applications comprise at least one external software application, wherein the external software application is a predictive analytical model;
defining, via the hardware processor, one or more processes to be implemented by executing the registered one or more software applications;
orchestrating, via the hardware processor, execution of the registered one or more software applications for implementing the one or more processes;
monitoring, via the hardware processor, system performance based on the execution of the registered one or more software applications;
generating, via the hardware processor, analytics data related to the monitored system performance;
updating, via the hardware processor, a database with historical data using the generated analytics data;
generating, via the hardware processor, an analytical report by analyzing, using a machine learning technique, the historical data stored in the database as well as the generated analytics data;
generating automatically, a user interface based on user inputs, wherein the user inputs comprise at least one of a layout and a specification provided by a user;
modifying, via the hardware processor, execution of the registered one or more software applications based on the generated analytical report;
and
displaying, via the hardware processor, data from the generated analytical report using the automatically generated user interface.

8 more elements

Dependencies are inferred from the claim text.

Facts

Application: 15/637,761Filed 29 Jun 2017
Priority: 29 Jun 2016
Published: 4 Jan 2018
Term ends: Not estimatedThe source records don’t support an estimate.

Classification10 codes

G06Q 10/063
Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling: operations research,…
G06F 11/321
With visual or acoustical indication of the functioning of the machine: display for diagnostics, e.g. diagnostic result display, self-test user…
G06F 11/3409
Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of…:…
G06N 5/022
Knowledge representation; Symbolic representation: knowledge engineering; Knowledge acquisition