CUSTOMIZED RETAILER PORTAL WITHIN AN ANALYTIC PLATFORM
The methods and systems disclosed herein include an analytic platform, with a customized retailer portal application, that may be used to perform data projection and release methodologies in order to create an integrated, flexible, actionable view of data such as data relating to consumers, consumer behavior, commodity sales, and other commercial activities like those pertaining to relationships between consumers and stores.
1 . A method comprising:
providing an analytic platform;
providing a data visualization user interface to the analytic platform, wherein the user interface is a custom portal;
logging onto the custom portal by a user, wherein the user is a retail partner;
presenting the user with a menu of possible analytic actions, wherein the options include creating a user dashboard, viewing a pre-built report, participating in a guided analysis, or a self-built analysis;
restricting the user to selecting only those possible analytic actions for which the user is granted permission by the granting matrix;
enabling the user to perform an analysis using the data visualization user interface, wherein the analysis permitted the user is based at least in part on a user task setting;
presenting the analytic output to the user through the data visualization user interface, wherein the presentation is interactive; and
publishing a report based at least in part on the analytic output and a defined report criterion.
2 - 4 . (canceled)
5 . The method of claim 1 wherein the analytic platform enables multi-user collaboration.
6 . The method of claim 1 wherein the analytic platform enables report sharing.
7 . The method of claim 1 wherein the analytic platform enables dynamic filtering.
8 . The method of claim 1 wherein the analytic platform enables attribute filtering.
9 . The method of claim 1 wherein the analytic platform enables sorting.
10 . The method of claim 1 wherein the analytic platform enables ranking.
11 . The method of claim 1 further comprising a user interface in which multiple concurrent product hierarchies based upon a store attribute are maintained during a user session.
12 . The method of claim 1 further comprising a user interface in which multiple concurrent store hierarchies based upon a store attribute are maintained during a user session.
13 . The method of claim 1 further comprising a user interface in which a non-traditional store hierarchy is maintained during a user session.
14 . The method of claim 1 further comprising a user interface in which data hierarchies are adaptable based at least in part on a scenario.
15 - 18 . (canceled)
19 . The method of claim 1 wherein the user interface enables interactive drill-down within a report.
20 . The method of claim 1 wherein the user interface enables interactive drill-up within a report.
1 - 24 . (canceled)
25 . The method of claim 1 wherein the user interface is accessible through the Internet.
26 . The method of claim 1 wherein the report is an on-demand report.
27 . The method of claim 1 wherein the report is a management scorecard.
28 . The method of claim 1 wherein the report is a scheduled report.
29 - 31 . (canceled)
32 . The method of claim 1 wherein the report is published in a user-selected format.
33 - 48 . (canceled)
49 . A method comprising:
taking a projected facts table in an analytic data set that has one or more associated dimensions;
selecting at least one of the dimensions to be fixed, wherein the selection of a dimension is based on supporting display of analytic information in a retailer portal; and
producing an aggregation of projected facts from the projected facts table and associated dimensions, the aggregation fixing the selected dimension for the purpose of allowing queries on the aggregated analytic data set.
50 - 55 . (canceled)
56 . A method comprising:
receiving a panel data source data set in a data aggregation facility;
receiving a fact data source data set in a data aggregation facility;
receiving a dimension data source data set in a data aggregation facility;
performing an action in the data aggregation facility, wherein the action associates the data sets received in the data aggregation facility with a standard population database; and
aggregating data from the data sets received in the data aggregation facility into a new aggregated analytic data set based at least in part on a key, wherein the key includes at least one association between the standard population database and the data sets received in the data aggregation facility, wherein the analytic data set is intended to be used for supporting display of analytic information in a retailer portal.
57 - 62 . (canceled)