Service-oriented architecture for deploying, sharing, and using analytics

• US 20070244650A1
• Filed: 04/03/2007
• Published: 10/18/2007
• Est. Priority Date: 04/03/2006
• Status: Abandoned Application

• Current Assignee: Cloud Software Group
• Original Assignee: Cloud Software Group
• Inventors: Gauthier, Francois
• Application Number:
  US11/732,707
• Publication Number:
  US 20070244650A1
• Time in Patent Office: Days
• US Class Current: 702/19
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: G06Q 40/02 Banking, e.g. interest calculation or account maintenance credit or loans G06Q40/03

Abstract

Methods, systems, and techniques for deploying, publishing, sharing, and using analytics are provided. Example embodiments provide a Analytic Server Computing System (an “ASCS”) which provides an SOA framework, for enabling users to develop and deploy analytics to their customers or other human or electronic clients by means of a web service/web server. Once published, such analytics can be consumed, for example, by a reporting interface for running analytics without having to understand the workings of the analytics. In one embodiment, the ASCS includes an analytic web service, which is used by consumers, typically through ASCS client code, to specify or discover analytics and to run them on consumer designated data and with designated parameter values. This abstract is provided to comply with rules requiring an abstract, and it is submitted with the intention that it will not be used to interpret or limit the scope or meaning of the claims.

Claims

1. A computer-based method in a server computing system for providing electronic access to a chain of statistical analytics over a network using web-based protocols, comprising:

upon receiving an indication of a first analytic, providing an indication of meta-data that indicates a first set of parameters that can be specified for the indicated first analytic;

causing the indicated first set of parameters to be presented;

upon receiving an indication of values associated with one or more of the indicated first set of parameters, causing the first analytic to be executed with the indicated values associated with the one or more of the indicated first set of parameters by an independently executing analytics engine configured to run the first indicated analytic and produce a first result in an output repository;

providing an indication of the produced first result;

upon determining that an input specification exists as part of the produced result, automatically determining from the input specification an indication of a second analytic and an indication of a second set of parameters that can be specified for the indicated second analytic;

causing the indicated second set of parameters to be presented;

upon receiving an indication of values associated with one or more of the indicated second set of parameters, causing the second analytic to be executed with the indicated values associated with the one or more of the indicated second set of parameters by an independently executing analytics engine configured to run the second indicated analytic and produce a second result in an output repository; and

providing an indication of the produced second result.

2. The method of claim 1 wherein the first analytic and the second analytic are the same analytic, and the access to the chain of statistical analytics provides an ability to rerun the same analytic using different sets of parameter values.

3. The method of claim 1 wherein the first analytic and the second analytic are the same analytic, and the access to the chain of statistical analytics provides an ability to rerun the same analytic using different sets of parameters.

4. The method of claim 1 wherein the first analytic is different than the second analytic and the first analytic is used to provide a choice of input parameters for the second analytic.

5. The method of claim 1 wherein the second analytic is caused to be executed to produce another input specification for another downstream analytic, and the downstream analytic is caused to be run to produce another input specification for a next downstream analytic in an iterative manner until a termination condition is reached.

6. The method of claim 5 wherein the termination condition is that no another input specification is produced.

7. The method of claim 1 wherein the input specification is a file have a “

.wsda”

file extension.

8. The method of claim 1 wherein the causing the indicated first set of parameters to be presented is performed by sending a response to a message or in response to an API invocation.

9. The method of claim 8 wherein the causing the indicated second set of parameters to be presented is performed by sending a response to a message or in response to an API invocation.

10. The method of claim 1 wherein the web-based protocols are at least one of HTTP or SOAP.

11. The method of claim 1 wherein XML strings are used to indicate the first or second set of parameters.

12. The method of claim 1, further comprising:

automatically storing the produced output result on a searchable content server or a content management system.

13. The method of claim 1 wherein the independently executing analytic engine configured to run the first indicated analytic is different than the independently executing analytic engine configured to run the second indicated analytic.

14. The method of claim 13 wherein the independently executing analytic engine configured to run the first indicated analytic runs an analytic written in S-Plus language.

15. The method of claim 13 wherein the independently executing analytic engines are configured to run analytics written in the same language but hosted on different computing systems.

16. The method of claim 1 wherein each analytic engine is selected according to a load balancing protocol.

17. A reporting computing system configured to provide at least one report that causes the first analytic and the second analytic to be executed to produce the first result and the second result according to the method of claim 1.

18. The reporting system of claim 17 implemented as a reporting server.

19. The reporting system of claim 17 implemented using a web browser.

20. The reporting system of claim 17 wherein the at least one report is scheduled to cause the first analytic to be executed at a determined time.

21. The reporting system of claim 20 wherein the determined time is at least one of a prescribed time, a range of time, or on a periodic basis.

22. The reporting system of claim 17, further comprising controlling execution of both the first analytic and the second analytic using the same user interface control.

23. The reporting system of claim 22 wherein the user interface control presents the first set of parameters in preparation for controlling execution of the first analytic and presents the second set of parameters in preparation for controlling execution of the second analytic using results from execution of the first analytic.

24. A web portal configured to provide an interface to an analytic server that causes the first analytic and the second analytic to be executed to produce the first result and the second result according to the method of claim 1.

25. The web portal of claim 24, further configured to have access to a data repository, and wherein at least one of the analytics provides a statistical analysis of data from the data repository.

26. The web portal of claim 25 wherein the data repository is a corporate data base.

27. The web portal of claim 24, further configured to be scheduled to cause the first analytic to be executed at a determined time.

28. The web portal of claim 24 wherein the determined time is at least one of a prescribed time, a range of time, or on a periodic basis.

29. The web portal of claim 24 wherein the interface is a web browser.

30. A computer-readable medium whose contents enable a server computing system to provide electronic access to a chain of statistical analytics over a network using web-based protocols, by performing a method comprising:

receiving an indication of a first analytic;

running the first analytic to produce a first result output including an analytic run specification file that specifies parameters for running a downstream analytic and an indication of the downstream analytic;

setting the analytic run specification file produced by the first result output as a next analytic run specification file;

setting the indicated downstream analytic as a next downstream analytic; and

using an independently executing analytics engine, automatically running the next downstream analytic using values for the parameters specified by the next analytic run specification file and producing a next result output including a next analytic run specification file that specifies parameters for running an indicated next downstream analytic and repeating the automatically running for each subsequent indicated next downstream analytic and next analytic run specification file until a termination condition occurs.

31. The computer-readable medium of claim 30 wherein the computer-readable medium is at least one of a memory in a computing device or a data transmission medium transmitting a generated signal containing the contents.

32. The computer-readable medium of claim 30 wherein the contents are instructions that, when executed, cause the computing system to perform the method.

33. The computer-readable medium of claim 30 wherein the first analytic and a next downstream analytic are the same analytic.

34. The computer-readable medium of claim 30 wherein the first analytic is different than a next downstream analytic.

35. The computer-readable medium of claim 30 wherein the termination condition is that no next analytic run specification file is produced.

36. The computer-readable medium of claim 30 whose contents are executed responsive to a request from a reporting server or a web portal.

37. An analytic server computing system comprising:

an analytic repository;

a plurality of statistical engines, each engine configured to execute analytics written in at least one statistical language associated with the engine;

an analytic deployment web service configured to receive an indication of analytic code composed in a statistical language associated with at least one of the statistical engines and a description of parameters necessary to run the analytic code, and configured to automatically store in the analytic repository the indicated analytic code along with configuration information necessary to discover and execute the indicated analytic;

an analytic web service configured to

interface to one or more of the statistical engines,

receive an indication of a designated analytic and a set of values corresponding to one or more parameters associated with the designated analytic,

cause retrieval of the analytic code that corresponds to the designated analytic from the analytic repository, and

cause execution, by a determined one of the one or more statistical engines, of the retrieved analytic code using the received set of parameter values; and

a scheduling web service configured to forward an indication of a designated analytic and the set of associated parameter values to cause the analytic web service to cause execution of the analytic code that corresponds to the designated analytic on a determined schedule.

38. The analytic server computing system of claim 37, further comprising:

a results data repository configured to receive and store result data from executed analytic code;

a results service configured to receive an indication of an executed analytic for which results are desired and retrieve from the results data repository result data corresponding to the indicated executed analytic.

39. The analytic server computing system of claim 38 wherein the indication of the executed analytic for which results are desired is performed by resolving a uniform resource locator (URL or URI).

40. The analytic server computing system of claim 39 wherein the results service is provided by or in conjunction with a content management system.

41. The analytic server computing system of claim 39 wherein the results service is provided by a content management server that provides search capabilities and a security scheme for accessing results data.

42. The analytic server computing system of claim 37 wherein the determined schedule is one of a prescribed time, a prescribed calendar event, a range of time, or a periodic basis.

43. The analytic server computing system of claim 37 wherein the scheduling web service is a scheduling service provided by a provider distinct from the provider of the analytic server computing system.

44. The analytic server computing system of claim 37 wherein the analytic web service is further configured to provide an indication of published analytics in response to a request.

45. The analytic server computing system of claim 37 wherein the analytic web service is further configured to determine a set of specifiable parameters for a designated analytic using meta-data associated with the analytic and to provide an indication of the determined set in response to a request.

46. The analytic server computing system of claim 37 wherein the indication of the designated analytic and the set of values corresponding to one or more parameters associated with the designated analytic is received using a message based network communication.

47. The analytic server computing system of claim 46 wherein the message-based network communication uses a SOAP-based messaging protocol.

48. The analytic server computing system of claim 37, the analytic web service further configured to first determine one of the one or more statistical engines to use to execute the retrieved analytic code based upon a load balancing mechanism that selects a statistical engine from among the one or more statistical engines capable of executing the retrieved analytic code.

49. The analytic server computing system of claim 37 wherein the analytic web server is further configured to cause retrieval of the analytic code that corresponds to the designated analytic only when security characteristics associated with the designated analytic indicate authorization.

50. The analytic server computing system of claim 37 wherein the plurality of statistical engines include an engine configured to run programs written in at least of S-Plus, R, SAS, Matlab, SPSS, or Mathematica.

51. The analytic server computing system of claim 37 wherein the plurality of statistical engines include an engine configured to run programs written S-Plus.