STATISTICALLY AND ONTOLOGICALLY CORRELATED ANALYTICS FOR BUSINESS INTELLIGENCE

• US 20160232537A1
• Filed: 02/11/2015
• Published: 08/11/2016
• Est. Priority Date: 02/11/2015
• Status: Abandoned Application

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Nonez, Robert Y., Shen-Hsieh, Angela B.
• Application Number:
  US14/619,786
• Publication Number:
  US 20160232537A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/24578 using ranking
• CPC Class Codes: G06Q 10/0633 Workflow analysis
• CPC Class Codes: G06Q 30/0201 Market modelling; Market analysis; Collecting market data

Abstract

Techniques are disclosed for statistically and ontologically correlated business intelligence (BI) analytics. An example method includes performing an ontological analysis on relevant data defined for a BI analytics query to determine correlations with ontological concepts. The method includes performing a statistical analysis on direct analytics output data to rank the direct analytics output data in order of influence on the direct analytics output. The method includes performing a statistical analysis on the relevant data set relative to the direct analytics output data to determine data in the relevant data set that influence the direct analytics output data, thereby generating a list of key drivers ranked in order of influence. The method includes revising the ranking of the key drivers based on correlations of the key drivers with the ontological concepts. The method includes generating a correlated analytics output comprising information on the key drivers based on the ranking.

Claims

1-10. -10. (canceled)

11. A computer program product for business intelligence (BI) analytics, the computer program product comprising a computer-readable storage medium having program code embodied therewith, the program code executable by a computing device to:

perform an ontological analysis on data items in a relevant data set defined for a BI analytics query to determine one or more correlations of the data items in the relevant data set with ontological concepts in an ontological concept subsystem;

perform a first statistical analysis on a set of direct analytics output data items from the relevant data set that are included in a direct BI analytics output to rank the direct analytics output data items in an order of influence on the direct BI analytics output;

perform a second statistical analysis on the data items in the relevant data set relative to the direct analytics output data items to determine one or more of the data items in the relevant data set that influence the respective direct analytics output data items, thereby generating a list of key drivers from among the data items in the relevant data set such that the list of key drivers has a ranking in an order of the influence;

revise the ranking of the list of key drivers based at least in part on the correlations of the key drivers with the ontological concepts; and

generate a correlated analytics output comprising information on one or more of the key drivers based on the ranking of the list of key drivers.

12. The computer program product of claim 11, wherein the program code is further executable by the computing device to remove, from the list of key drivers, key drivers that are already present in the direct analytics output data items.

13. The computer program product of claim 11, wherein the program code executable by the computing device to generate the correlated analytics output comprising the information on the one or more of the key drivers based on the ranking of the list of key drivers further comprises program code executable by the computing device to generate a correlated analytics output comprising information on how the key drivers influence the direct analytics output data items.

14. The computer program product of claim 11, wherein the program code executable by the computing device to generate the correlated analytics output comprising the information on the one or more of the key drivers comprises program code executable by the computing device to generate the correlated analytics output comprising correlations between one or more of the key drivers and one or more of the direct analytics output data items based on the ranking of the list of key drivers.

15. The computer program product of claim 11, wherein the program code executable by the computing device to revise the ranking of the list of key drivers based at least in part on the correlations of the key drivers with the ontological concepts further comprises program code executable by the computing device to rank key drivers that have a correlation with one of the ontological concepts higher than key drivers that do not have a correlation with one of the ontological concepts.

16. A computer system for business intelligence (BI) analytics, the computer system comprising:

one or more processors, one or more computer-readable memories, and one or more computer-readable, tangible storage devices;

program instructions, stored on at least one of the one or more storage devices for execution by at least one of the one or more processors via at least one of the one or more memories, to perform an ontological analysis on data items in a relevant data set defined for a BI analytics query to determine one or more correlations of the data items in the relevant data set with ontological concepts in an ontological concept subsystem;

program instructions, stored on at least one of the one or more storage devices for execution by at least one of the one or more processors via at least one of the one or more memories, to perform a first statistical analysis on a set of direct analytics output data items from the relevant data set that are included in a direct BI analytics output to rank the direct analytics output data items in an order of influence on the direct BI analytics output;

program instructions, stored on at least one of the one or more storage devices for execution by at least one of the one or more processors via at least one of the one or more memories, to perform a second statistical analysis on the data items in the relevant data set relative to the direct analytics output data items to determine one or more of the data items in the relevant data set that influence the respective direct analytics output data items, thereby generating a list of key drivers from among the data items in the relevant data set such that the list of key drivers has a ranking in an order of the influence;

program instructions, stored on at least one of the one or more storage devices for execution by at least one of the one or more processors via at least one of the one or more memories, to revise the ranking of the list of key drivers based at least in part on the correlations of the key drivers with the ontological concepts; and

program instructions, stored on at least one of the one or more storage devices for execution by at least one of the one or more processors via at least one of the one or more memories, to generate a correlated analytics output comprising information on one or more of the key drivers based on the ranking of the list of key drivers.

17. The computer system of claim 16, further comprising program instructions to remove, from the list of key drivers, key drivers that are already present in the direct analytics output data items.

18. The computer system of claim 16, wherein the program instructions to generate the correlated analytics output comprising the information on the one or more of the key drivers based on the ranking of the list of key drivers further comprise program instructions to generate a correlated analytics output comprising information on how the key drivers influence the direct analytics output data items.

19. The computer system of claim 16, wherein the program instructions to generate the correlated analytics output comprising the information on the one or more of the key drivers comprise program instructions to generate the correlated analytics output comprising correlations between one or more of the key drivers and one or more of the direct analytics output data items based on the ranking of the list of key drivers.

20. The computer system of claim 16, wherein the program instructions to revise the ranking of the list of key drivers based at least in part on the correlations of the key drivers with the ontological concepts further comprise program instructions to rank key drivers that have a correlation with one of the ontological concepts higher than key drivers that do not have a correlation with one of the ontological concepts.