Optimizing a business model of an enterprise

• US 10,395,189 B2
• Filed: 08/28/2018
• Issued: 08/27/2019
• Est. Priority Date: 01/24/2008
• Status: Active Grant

• Current Assignee: Kyndryl Incorporated
• Original Assignee: International Business Machines Corporation
• Inventors: Farooq, Mohammed, Sapuram, Raghunath, Modh, Manish, Erickson, Robert
• Primary Examiner(s): Mansfield, Thomas L
• Assistant Examiner(s): Holzmacher, Derick J
• Application Number:
  US16/114,337
• Publication Number:
  US 20180365604A1
• Time in Patent Office: 364 Days
• Field of Search: None
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: G06Q 30/0201 Market modelling; Market analysis; Collecting market data

Abstract

A method and system for operating an enterprise in accordance with an optimized enterprise level business model. A model optimization engine is iteratively processed based on an updated benchmark value and model, until updating the benchmark value involves changing the benchmark value by less than a predetermined benchmark value error threshold to generate the optimized enterprise-level business model. The enterprise is operated in accordance with the optimized enterprise-level business model, including: generating and dynamically displaying real-time performance measures of usage of a computer resource during execution of a business process, determining from the performance measures that the computer resource is a bottleneck, and the computer resource'"'"'s usage is optimized using the performance measures to reduce data throughput delay and increase throughput of bottleneck operations during execution of the business process. Optimizing the computer resource'"'"'s usage includes making a computer system work more efficiently and/or use fewer resources.

Claims

1. A method for operating an enterprise in accordance with an optimized enterprise-level business model including optimizing a computer resource'"'"'s capacity to reduce data throughput delay and increase throughput of bottleneck operations, said method comprising:

receiving, by a processor of a computer system, a first set of data representing a business strategy, a business goal and a constraint;

receiving, by the processor, a second set of data representing relationships between the input business strategy, business goal and constraint;

receiving, by the processor, a third set of data to define an enterprise-level business model, wherein the enterprise-level business model comprises an enterprise component, a customer component and a partner component and provides a structure of services within the enterprise defining relationships with customers, partners and vendors, the enterprise component comprising one or more business components that provide business services and that are associated with business processes and service performance indicators (SPIs), the enterprise-level business model being defined based on interrelated business strategy, business goal and business constraint data, wherein the business strategy comprises one or more strategic intents that provide one or more strategic goals to be achieved by the enterprise;

monitoring, by the processor in real time, metrics of the enterprise at a service level to dynamically determine, in real time, a real-time actual performance value of business service;

dynamically displaying, on a computer display device of the computer system in real time, the real-time actual performance value;

determining an initial benchmark value for a resource of the enterprise;

processing, by the processor, a model optimization engine resident in the computer system based on the defined enterprise-level business model, the input business strategy, business goal and constraint to iteratively generate an output benchmark value, to update the initial benchmark value based on the output benchmark value, and to update the defined enterprise-level business model;

iteratively processing, by the processor, the model optimization engine based on the updated benchmark value and model, until updating the benchmark value involves changing the benchmark value by less than a predetermined benchmark value error threshold to generate the optimized enterprise-level business model;

operating the enterprise in accordance with the optimized enterprise-level business model, said operating the enterprise in accordance with the optimized enterprise-level business model including;

generating, in real time by the processor, performance measures of usage of a computer resource used by the computer system executing a business process of the enterprise;

dynamically displaying, in real time on the computer display device, a dashboard of the performance measures of the computer resource'"'"'s usage during said executing the business process;

determining, by the processor from the performance measures displayed on the dashboard, that the computer resource is a current bottleneck or is likely to become a bottleneck in the near future; and

optimizing the computer resource'"'"'s usage, by the processor using the performance measures displayed on the dashboard, to reduce data throughput delay and increase throughput of bottleneck operations during said executing the business process, wherein said optimizing the computer resource'"'"'s usage comprises modifying the computer system to make the computer system work more efficiently, use fewer resources, or both work more efficiently and use fewer resources.

2. The method of claim 1, wherein the real-time actual performance value is based on the SPIs and key performance indicators (KPIs) relating to the business strategy and objectives.

3. The method of claim 1, wherein the metrics indicate compliance with one or more service level agreements (SLAs) between the enterprise and at least one of the customers, partners and vendors as a result of operation of the enterprise in accordance with the enterprise-level business model.

4. The method of claim 1, said method further comprising:

generating at least one of component, component group, services, partners and customer categories in the computer system based on user input.

5. The method of claim 1, said method further comprising:

defining an interrelated business strategy based on user input related to at least one of a goal of enterprise, a market within which the enterprise competes, and activities involved in the markets, and factors that affect the enterprise'"'"'s ability to compete in the market.

6. The method of claim 1, said method further comprising;

providing a business service portfolio that describes available business services, as well as the current and potential capacity of each, wherein the enterprise-level business model is also defined based on the business service portfolio.

7. A computer program product, comprising a computer readable storage device having computer readable program code stored therein, said storage device not being a signal, said program code containing instructions executable by a processor of a computer system to implement a method for operating an enterprise in accordance with an optimized enterprise level business model including optimizing a computer resource'"'"'s capacity to reduce data throughput delay and increase throughput of bottleneck operations, said method comprising:

receiving, by the processor, a first set of data representing a business strategy, a business goal and a constraint;

receiving, by the processor, a second set of data representing relationships between the input business strategy, business goal and constraint;

receiving, by the processor, a third set of data to define an enterprise-level business model, wherein the enterprise-level business model comprises an enterprise component, a customer component and a partner component and provides a structure of services within the enterprise defining relationships with customers, partners and vendors, the enterprise component comprising one or more business components that provide business services and that are associated with business processes and service performance indicators (SPIs), the enterprise-level business model being defined based on interrelated business strategy, business goal and business constraint data, wherein the business strategy comprises one or more strategic intents that provide one or more strategic goals to be achieved by the enterprise;

monitoring, by the processor in real time, metrics of the enterprise at a service level to dynamically determine, in real time, a real-time actual performance value of business service;

dynamically displaying, on a computer display device of the computer system in real time, the real-time actual performance value;

determining an initial benchmark value for a resource of the enterprise;

processing, by the processor, a model optimization engine resident in the computer system based on the defined enterprise-level business model, the input business strategy, business goal and constraint to iteratively generate an output benchmark value, to update the initial benchmark value based on the output benchmark value, and to update the defined enterprise-level business model;

iteratively processing, by the processor, the model optimization engine based on the updated benchmark value and model, until updating the benchmark value involves changing the benchmark value by less than a predetermined benchmark value error threshold to generate the optimized enterprise-level business model;

operating the enterprise in accordance with the optimized enterprise-level business model, said operating the enterprise in accordance with the optimized enterprise-level business model including;

generating, in real time by the processor, performance measures of usage of a computer resource used by the computer system executing a business process of the enterprise;

dynamically displaying, in real time on the computer display device, a dashboard of the performance measures of the computer resource'"'"'s usage during said executing the business process;

determining, by the processor from the performance measures displayed on the dashboard, that the computer resource is a current bottleneck or is likely to become a bottleneck in the near future; and

optimizing the computer resource'"'"'s usage, by the processor using the performance measures displayed on the dashboard, to reduce data throughput delay and increase throughput of bottleneck operations during said executing the business process, wherein said optimizing the computer resource'"'"'s usage comprises modifying the computer system to make the computer system work more efficiently, use fewer resources, or both work more efficiently and use fewer resources.

8. The computer program product of claim 7, wherein the real-time actual performance value is based on the SPIs and key performance indicators (KPIs) relating to the business strategy and objectives.

9. The computer program product of claim 7, wherein the metrics indicate compliance with one or more service level agreements (SLAs) between the enterprise and at least one of the customers, partners and vendors as a result of operation of the enterprise in accordance with the enterprise-level business model.

10. The computer program product of claim 7, said method further comprising:

defining a plurality of enterprise-level business models, wherein business services of the business service portfolio can be reused across the plurality of enterprise-level business models.

11. The computer program product of claim 7, said method further comprising:

defining an interrelated business strategy based on user input related to at least one of a goal of enterprise, a market within which the enterprise competes, and activities involved in the markets, and factors that affect the enterprise'"'"'s ability to compete in the market.

12. The computer program product of claim 7, said method further comprising:

providing a business service portfolio that describes available business services, as well as the current and potential capacity of each, wherein the enterprise-level business model is also defined based on the business service portfolio, wherein business services of the business service portfolio can be reused across a plurality of enterprise-level business models.

13. The computer program product of claim 7, said method further comprising:

inputting strategic performance indicators;

inputting the SPIs; and

defining at least one of an agreement and a service level agreement (SLA) for the business service,

wherein performance of the enterprise-level business model is evaluated based on at least one of the strategic performance indicators, the SPIs, the agreement and the SLA.

14. A computer system, comprising a processor, a memory coupled to the processor, and a computer readable storage device coupled to the processor, said storage device not being a signal, said storage device containing program code executable by the processor via the memory to implement a method for operating an enterprise in accordance with an optimized enterprise level business model including optimizing a computer resource'"'"'s capacity to reduce data throughput delay and increase throughput of bottleneck operations, said method comprising:

receiving, by the processor, a first set of data representing a business strategy, a business goal and a constraint;

receiving, by the processor, a second set of data representing relationships between the input business strategy, business goal and constraint;

receiving, by the processor, a third set of data to define an enterprise-level business model, wherein the enterprise-level business model comprises an enterprise component, a customer component and a partner component and provides a structure of services within the enterprise defining relationships with customers, partners and vendors, the enterprise component comprising one or more business components that provide business services and that are associated with business processes and service performance indicators (SPIs), the enterprise-level business model being defined based on interrelated business strategy, business goal and business constraint data, wherein the business strategy comprises one or more strategic intents that provide one or more strategic goals to be achieved by the enterprise;

monitoring, by the processor in real time, metrics of the enterprise at a service level to dynamically determine, in real time, a real-time actual performance value of business service;

dynamically displaying, on a computer display device of the computer system in real time, the real-time actual performance value;

determining an initial benchmark value for a resource of the enterprise;

processing, by the processor, a model optimization engine resident in the computer system based on the defined enterprise-level business model, the input business strategy, business goal and constraint to iteratively generate an output benchmark value, to update the initial benchmark value based on the output benchmark value, and to update the defined enterprise-level business model;

iteratively processing, by the processor, the model optimization engine based on the updated benchmark value and model, until updating the benchmark value involves changing the benchmark value by less than a predetermined benchmark value error threshold to generate the optimized enterprise-level business model;

operating the enterprise in accordance with the optimized enterprise-level business model, said operating the enterprise in accordance with the optimized enterprise-level business model including;

generating, in real time by the processor, performance measures of usage of a computer resource used by the computer system executing a business process of the enterprise;

dynamically displaying, in real time on the computer display device, a dashboard of the performance measures of the computer resource'"'"'s usage during said executing the business process;

determining, by the processor from the performance measures displayed on the dashboard, that the computer resource is a current bottleneck or is likely to become a bottleneck in the near future; and

optimizing the computer resource'"'"'s usage, by the processor using the performance measures displayed on the dashboard, to reduce data throughput delay and increase throughput of bottleneck operations during said executing the business process, wherein said optimizing the computer resource'"'"'s usage comprises modifying the computer system to make the computer system work more efficiently, use fewer resources, or both work more efficiently and use fewer resources.

15. The computer system of claim 14, wherein the real-time actual performance value is based on the SPIs and key performance indicators (KPIs) relating to the business strategy and objectives.

16. The computer system of claim 14, wherein the metrics indicate compliance with one or more service level agreements (SLAs) between the enterprise and at least one of the customers, partners and vendors as a result of operation of the enterprise in accordance with the enterprise-level business model.

17. The computer system of claim 16, wherein the SLA defines expected values that determine compliance of an expected performance of a service that impacts the enterprise-level business model, and wherein the SLA defines corrective actions that are taken when the performance exceeds a threshold.

18. The computer system of claim 14, said method further comprising:

collecting actual performance data for the enterprise;

storing the actual performance data in a database; and

displaying the actual performance data in a graphical user interface, wherein the graphical user interface displays at least a portion of the actual performance data in a graphical format.

19. The computer system of claim 18, said method further comprising:

processing the actual performance data to define one of historical and future trends, financial impact, probability distributions, and predictive analytics.

20. The computer system of claim 18, said method further comprising:

drilling down in the database using predefined service level agreement (SLA) dependencies based on user input; and

generating a report based on the drilling down.