METHODS AND COMPUTING SYSTEMS FOR GENERATING AND OPERATING A SEARCHABLE CONSUMER MARKET RESEARCH KNOWLEDGE REPOSITORY

• US 20140337323A1
• Filed: 05/08/2014
• Published: 11/13/2014
• Est. Priority Date: 05/08/2013
• Status: Abandoned Application

• Current Assignee: New Consumer Solutions LLC
• Original Assignee: New Consumer Solutions LLC
• Inventors: Soep, Andrew, Zuhlke-Kimball, Kristi, Hess, John
• Application Number:
  US14/273,307
• Publication Number:
  US 20140337323A1
• Time in Patent Office: Days
• US Class Current: 707/722
• CPC Class Codes: G06F 16/13 File access structures, e.g. distributed indices arrangements of input from, or output to, record carriers G06F3/06
• CPC Class Codes: G06F 16/248 Presentation of query results
• CPC Class Codes: G06Q 30/0201 Market modelling; Market analysis; Collecting market data

Abstract

Methods and computing systems for generating and operating a searchable consumer market research (CMR) knowledge repository are provided. In one example, a method for generating a searchable CMR knowledge repository includes: (i) obtaining CMR data associated with one or more CMR studies; (ii) classifying the CMR data as at least one of: one or more CMR quantitative data files, one or more CMR summary files, and one or more CMR associated files; and (iii) storing a first portion of the CMR data in a first data storage repository and a second portion of the CMR data in a second data storage repository based on the classification in order to generate the searchable CMR knowledge repository.

Claims

1. A computer-implemented method for generating and operating a searchable consumer market research (CMR) knowledge repository, the method comprising:

obtaining, by a processing device, CMR data associated with one or more CMR studies;

classifying, by the processing device, the CMR data as at least one of one or more CMR quantitative data files, one or more CMR summary files, and one or more CMR associated files;

storing, by the processing device, a first portion of the CMR data in a first data storage repository and a second portion of the CMR data in a second data storage repository based on the classification in order to generate the searchable CMR knowledge repository;

obtaining a CMR query, wherein the CMR query comprises a request to search the searchable CMR knowledge repository for CMR search results data related to the query;

in response to obtaining the CMR query, retrieving, by the processing device, the CMR search results data based on the CMR query; and

outputting, for display, at least a portion of the CMR search results data.

3. The computer-implemented method of claim 1, wherein the first portion of the CMR data comprises the one or more CMR quantitative data files, and wherein storing the first portion of the CMR data in the first data repository comprises storing the first portion of the CMR data in a NoSQL database.

4. The computer-implemented method of claim 1, wherein the second portion of the CMR data comprises the one or more CMR summary files, and wherein storing the second portion of the CMR data in the second data repository comprises storing the second portion of the CMR data in an inverted index.

5. The computer-implemented method of claim 1, further comprising:

storing a third portion of the CMR data in a third data repository, wherein the third portion of the CMR data comprises the one or more associated files, and wherein the third data repository comprises an ephemeral file store.

6. The computer-implemented method of claim 1, further comprising:

in response to classifying at least a portion of the CMR data as the one or more CMR quantitative data files, aggregating any unaggregated data points present in the one or more CMR quantitative data files to provide aggregated data points associated with the one or more CMR quantitative data files;

extracting the aggregated data points associated with the one or more CMR quantitative data files; and

storing the extracted aggregated data points in at least one of the first and second data storage repositories for use in outputting the at least a portion of the CMR search results data.

7. The computer-implemented method of claim 1, wherein the CMR search results data comprises a list of one or more selectable studies relevant to the CMR query.

8. The computer-implemented method of claim 7, further comprising:

obtaining, by the processing device, filtering request data, wherein the filtering request data comprises data indicating which particular selectable studies should be output for display as part of the CMR search results based on filtering criteria.

9. The computer-implemented method of claim 8, wherein the filtering criteria comprises at least one of:

geography data identifying one or more locations where the one or more selectable studies were conducted;

category data identifying one or more topical categories associated with the one or more selectable studies; and

study-type data identifying one or more study-types associated with the one or more selectable studies.

10. The computer-implemented method of claim 7, further comprising:

obtaining, by the processing device, study selection data, wherein the study selection data comprises data identifying a particular study from amongst the list of one or more selectable studies.

11. The computer-implemented method of claim 10, further comprising:

in response to obtaining the study selection data, outputting, for display, graphical display data, wherein the graphical display data comprises a graphical representation of at least a portion of quantitative results associated with the selected study.

12. The computer-implemented method of claim 11, further comprising:

obtaining, by the processing device, graphic-style selection data, wherein the graphic-type selection data comprises data identifying a particular graphic-style from amongst a plurality of different graphic styles to be applied to the graphical display data.

13. The computer-implemented method of claim 11, further comprising:

exporting the graphical display data, wherein exporting the graphical display data comprises at least one of;

generating a .xml file comprising the graphical display data;

generating a .pdf file comprising the graphical display data;

generating an image file comprising the graphical display data; and

generating an email comprising the graphical display data.

14. The computer-implemented method of claim 11, further comprising:

obtaining, by the processing device, breakout request data, wherein the breakout request data comprises data indicating which data points of a plurality of available data points should be included as part of the graphical display data; and

adjusting, by the processing device, the graphical display data based on the breakout request data to provide adjusted graphical display data; and

outputting, for display, the adjusted graphical display data.

15. A computing system for generating and operating a searchable consumer market research (CMR) knowledge repository, the computing system comprising:

an importer module configured to obtain CMR data associated with one or more CMR studies;

a classification module operatively connected to the importer module, the classification module configured to classify the CMR data as at least one of one or more CMR quantitative data files, one or more CMR summary files, and one or more CMR associated files;

a storage distribution module operatively connected to the classification module, the storage distribution module configured to store a first portion of the CMR data in a first data storage repository and a second portion of the CMR data in a second data storage repository based on the classification in order to generate the searchable CMR knowledge repository;

a search module, the search module configured to;

obtain a CMR query, wherein a CMR query comprises a request to search the searchable CMR knowledge repository for CMR search results data related to the query; and

in response to obtaining the CMR query, retrieve the CMR search results data based on the CMR query; and

a display module operatively connected to the search module, the display module configured to output, for display, at least a portion of the CMR search results data.

16. The computing system of claim 15, wherein the importer module is configured to obtain the CMR data associated with the one or more CMR studies by:

receiving, via a client portal, the CMR data; and

retrieving the CMR data by crawling one or more data repositories associated with one or more clients.

17. The computing system of claim 15, wherein the first portion of the CMR data comprises the one or more CMR quantitative data files, and wherein the storage distribution module is configured to store the first portion of the CMR data in the first data repository by storing the first portion of the CMR data in a NoSQL database.

18. The computing system of claim 15, wherein the second portion of the CMR data comprises the one or more CMR summary files, and wherein the storage distribution module is configured to store the second portion of the CMR data in the second data repository by storing the second portion of the CMR data in an inverted index.

19. The computing system of claim 15, wherein the storage distribution module is further configured to store a third portion of the CMR data in a third data repository, wherein the third portion of the CMR data comprises the one or more associated files, and wherein the third data repository comprises an ephemeral file store.

20. The computing system of claim 15, further comprising:

an aggregation module operatively connected to the classification module and the storage distribution module, wherein the aggregation module is configured to;

in response to at least a portion of the CMR data being classified as the one or more CMR quantitative data files, aggregate any unaggregated data points present in the one or more CMR quantitative data files to provide aggregated data points associated with the one or more CMR quantitative data files; and

extract the aggregated data points associated with the one or more CMR quantitative data files to provide extracted aggregated data points.

21. The computing system of claim 20, wherein the storage distribution module is further configured to:

obtain the extracted aggregated data points associated with the one or more CMR quantitative data files from the aggregation module; and

store the extracted aggregated data points in at least one of the first and second data storage repositories for use in outputting the at least a portion of the CMR search results data.

24. The computing system of claim 23, wherein the search results customization module is further configured to:

obtain, from a user, filtering request data, wherein the filtering request data comprises data indicating which particular selectable studies should be output for display as part of the CMR search results data based on filtering criteria; and

filter the at least a portion of the CMR search results data based on the filtering criteria.

2. The computer-implemented method of claim 1, wherein obtaining the CMR data comprises at least one of:

receiving, via a client portal, the CMR data; and

retrieving, by the processing device, the CMR data by crawling one or more data repositories associated with one or more clients.

25. The computing system of claim 24, wherein the filtering criteria comprises at least one of:

geography data identifying one or more locations where the one or more selectable studies were conducted;

category data identifying one or more topical categories associated with the one or more selectable studies; and

study-type data identifying one or more study-types associated with the one or more selectable studies.

26. The computing system of claim 23, wherein the search results customization module is further configured to:

obtain, from a user, study selection data, wherein the study selection data comprises data identifying a particular study from amongst the list of one or more selectable studies; and

in response to obtaining the study selection data, generating first graphical display data, wherein the first graphical display data comprises a graphical representation of at least a portion of quantitative results associated with the particular study.

27. The computing system of claim 26, wherein the search results customization module is further configured to:

obtain graphic-style selection data, wherein the graphic-type selection data comprises data identifying a particular graphic-style from amongst a plurality of different graphic styles to be applied to the first graphical display data; and

in response to obtaining the graphic-style selection data, generating second graphical display data that is different than the first graphical display data, wherein the second graphical display data comprises a different graphical representation of the same quantitative results associated with the same particular study.

28. The computing system of claim 26, further comprising:

an exporting module operatively connected to the search results customization module, wherein the exporting module is configured to export the first graphical display data by performing at least one of the following;

generating a .xml file comprising the first graphical display data;

generating a .pdf file comprising the first graphical display data;

generating an image file comprising the first graphical display data; and

generating an email comprising the first graphical display data.

29. The computing system of claim 26, wherein the search results customization module is further configured to:

obtain breakout request data, wherein the breakout request data comprises data indicating which data points of a plurality of available data points should be included as part of the first graphical display data; and

in response to obtaining the breakout request data, generating third graphical display data that is different than the first graphical display data based on the breakout request data, wherein the third graphical display data comprises a graphical representation of at least a portion of different quantitative results associated with the particular study.

30. A non-transitory computer-readable medium comprising executable instructions that when executed by a processing device cause the processing device to carry out a method comprising:

obtaining CMR data associated with one or more CMR studies;

classifying the CMR data as at least one of;

one or more CMR quantitative data files, one or more CMR summary files, and one or more CMR associated files;

storing a first portion of the CMR data in a first data storage repository and a second portion of the CMR data in a second data storage repository based on the classification in order to generate the searchable CMR knowledge repository;

obtaining a CMR query, wherein the CMR query comprises a request to search the searchable CMR knowledge repository for CMR search results related to the query;

in response to obtaining the CMR query, retrieving the CMR search results data based on the CMR query; and

outputting, for display, at least a portion of the CMR search results data.