Client Deployment Optimization Model

• US 20080228505A1
• Filed: 03/13/2007
• Published: 09/18/2008
• Est. Priority Date: 03/13/2007
• Status: Abandoned Application

• Current Assignee: Dell Products LP (Dell Technologies Inc.)
• Original Assignee: Dell Products LP (Dell Technologies Inc.)
• Inventors: Raley, Jefferson, Hanes, Kevin, Bomsta, Gregory, Oates, Stephen, Bodnar, Steven
• Application Number:
  US11/685,373
• Publication Number:
  US 20080228505A1
• Time in Patent Office: Days
• US Class Current: 705/1
• CPC Class Codes: G06Q 10/04 Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem" market predictions or forecasting for commercial activities G06Q30/0202

Abstract

A deployment optimization model that identifiers and categorizes issues (such as key cost and quality drivers) in information handling system deployment and provisioning. The deployment optimization model is used within a deployment and evaluation tool which provides based on this model, a set of processes and tools for evaluating information handling system deployment issues of customers. Based on information derived from the deployment and evaluation tool, it is possible to determine a customer'"'"'s current cost to deploy information handling systems as well as a future cost if various recommendations are adopted.

Claims

1. A method for optimizing a deployment of information handling systems comprising

storing a deployment optimization matrix within a memory, the deployment optimization matrix comprising a plurality of rows and each of the plurality of rows comprising a plurality of columns, the plurality of rows corresponding to factors that evaluate and contribute to deployment of information handling systems, the plurality of columns corresponding to a sophistication level of each of factor;

selecting points within the deployment optimization matrix, each of the points corresponding to a desired deployment level for a corresponding factor; and

,

generating an optimized deployment recommendation based upon the desired deployment.

2. The method of claim 1, wherein

the factors include at least one of a deployment management factor, a staging and logistics factor, an imaging factor, an applications factor, a user state migration factor and a day after user support factor.

3. The method of claim 2, wherein

the deployment management factor indicates an extent to which an efficient deployment solution is possible.

4. The method of claim 2, wherein

the staging and logistics factor indicates an extent to which an efficient staging and logistics deployment is present.

5. The method of claim 2, wherein

the imaging factor indicates an extent to which imaging is used to more efficiently deploy information handling systems.

6. The method of claim 2, wherein

the applications factor indicates an extent to which automated configuration is used to more efficiently deploy information handling systems.

7. The method of claim 2, wherein

the user state migration factor indicates an extent to which state migration is used to more efficiently deploy information handling systems.

8. The method of claim 2, wherein

the day after user support factor indicates an extent to which day after user support is used to more efficiently deploy information handling systems.

9. The method of claim 1, wherein:

the levels include at least one of a basic level, a standardized level, a rationalized level and a dynamic level.

10. An apparatus for optimizing a deployment of information handling systems comprising

means for storing a deployment optimization matrix within a memory, the deployment optimization matrix comprising a plurality of rows and each of the plurality of rows comprising a plurality of columns, the plurality of rows corresponding to factors that evaluate and contribute to deployment of information handling systems, the plurality of columns corresponding to a sophistication level of each of factor;

means for selecting points within the deployment optimization matrix, each of the points corresponding to a desired deployment level for a corresponding factor; and

,

means for generating an optimized deployment recommendation based upon the desired deployment.

11. The apparatus of claim 10, wherein

the factors include at least one of a deployment management factor, a staging and logistics factor, an imaging factor, an applications factor, a user state migration factor and a day after user support factor.

12. The apparatus of claim 11, wherein

the deployment management factor indicates an extent to which an efficient deployment solution is possible.

13. The apparatus of claim 11, wherein

the staging and logistics factor indicates an extent to which an efficient staging and logistics deployment is present.

14. The apparatus of claim 11, wherein

the imaging factor indicates an extent to which imaging is used to more efficiently deploy information handling systems.

15. The apparatus of claim 11, wherein

the applications factor indicates an extent to which automated configuration is used to more efficiently deploy information handling systems.

16. The apparatus of claim 11, wherein

the user state migration factor indicates an extent to which state migration is used to more efficiently deploy information handling systems.

17. The apparatus of claim 11, wherein

the day after user support factor indicates an extent to which day after user support is used to more efficiently deploy information handling systems.

18. The apparatus of claim 10, wherein:

the levels include at least one of a basic level, a standardized level, a rationalized level and a dynamic level.

19. An information handling system comprising

a processor;

memory coupled to the processor, the memory comprising a module for optimizing a deployment of information handling systems, the module for optimizing the deployment of information handling systems comprising

a deployment optimization matrix, the deployment optimization matrix comprising a plurality of rows and each of the plurality of rows comprising a plurality of columns, the plurality of rows corresponding to factors that evaluate and contribute to deployment of information handling systems, the plurality of columns corresponding to a sophistication level of each of factor, and,

instructions for;

selecting points within the deployment optimization matrix, each of the points corresponding to a desired deployment level for a corresponding factor; and

,

generating an optimized deployment recommendation based upon the desired deployment.

20. The information handling system of claim 19, wherein

the factors include at least one of a deployment management factor, a staging and logistics factor, an imaging factor, an applications factor, a user state migration factor and a day after user support factor.

21. The information handling system of claim 20, wherein

the deployment management factor indicates an extent to which an efficient deployment solution is possible.

22. The information handing system of claim 20, wherein

the staging and logistics factor indicates an extent to which an efficient staging and logistics deployment is present.

23. The information handling system of claim 20, wherein

the imaging factor indicates an extent to which imaging is used to more efficiently deploy information handling systems.

24. The information handling system of claim 20, wherein

the applications factor indicates an extent to which automated configuration is used to more efficiently deploy information handling systems.

25. The information handling system of claim 20, wherein

the user state migration factor indicates an extent to which state migration is used to more efficiently deploy information handling systems.

26. The information handling system of claim 20, wherein

the day after user support factor indicates an extent to which day after user support is used to more efficiently deploy information handling systems.

27. The information handling system of claim 19, wherein:

the levels include at least one of a basic level, a standardized level, a rationalized level and a dynamic level.