Exporter
A method, apparatus, and computer program product are disclosed for self-service design, scheduling, and delivery of user-defined reports regarding promotions. The method includes receiving, from a user device, a report type and report delivery information. Based on the report type, relevant data regarding the one or more promotions is collected, using which a report is generated. The method then outputs the generated report based on the report delivery information. Optionally, analytical insights, such as trends within the data, sample size, suitability of control data, and indications of statistical significance, are generated and included in the report. A corresponding apparatus and computer program product are also provided.
1. A method for automating the generation of reports regarding one or more promotions, the method comprising:
receiving, from a user device, a report type, a desired delivery frequency, and a report coverage time range, wherein the desired delivery frequency is determined based on a delivery frequency preference received from a report-requesting user profile associated with the user device, and wherein the report coverage time range is determined based on a report coverage time range preference received from the report-requesting user profile, and further wherein the delivery frequency preference and the report coverage time range preference are defined by distinct variables in a user report request associated with the report-requesting user profile;
collecting, based on the report type, relevant data regarding the one or more promotions from one or more proprietary databases;
predictively modeling, by a processor, the collected data using one or more machine learning algorithms; and
at the desired delivery frequency,
generating, by the processor and based on the predictive modeling of the collected data, a report using the collected data; and
outputting the generated report.
2. The method of claim 1 , wherein the desired delivery frequency is hourly, daily, weekly, or monthly.
3. The method of claim 1 , wherein the report type indicates a subscription to a standardized report.
4. The method of claim 1 , wherein the report type specifies framework parameters for the report.
5. The method of claim 1 , further comprising generating, based on the report delivery information, an analytical insight regarding the data contained in the report,
wherein the generated report includes the analytical insight.
6. The method of claim 5 , wherein the analytical insight includes at least one selected from the group consisting of: trends within the data, a sample size, suitability of control data, and an indication of statistical significance.
7. The method of claim 1 , further comprising:
receiving login credentials from the user device; and
validating that the report type and report delivery information are accessible based on access rights associated with the login credentials.
8. An apparatus for generating reports regarding promotions, the apparatus comprising a processor and a memory, the memory storing computer program code that, when executed by the processor, causes the apparatus to:
receive, from a user device, a report type, a desired delivery frequency, and a report coverage time range, wherein the desired delivery frequency is determined based on a delivery frequency preference received from a report-requesting user profile associated with the user device, and wherein the report coverage time range is determined based on a report coverage time range preference received from the report-requesting user profile, and further wherein the delivery frequency preference and the report coverage time range preference are defined by distinct variables in a user report request associated with the report-requesting user profile;
collect, based on the report type, relevant data regarding the one or more promotions from one or more proprietary databases;
predictively model the collected data using one or more machine learning algorithms; and
at the desired delivery frequency,
generate, based on the predictive modeling of the collected data, a report using the collected data; and
output the generated report based on the report delivery information.
9. The apparatus of claim 8 , wherein the desired delivery frequency is hourly, daily, weekly, or monthly.
10. The apparatus of claim 8 , wherein the report type indicates a subscription to a standardized report.
11. The apparatus of claim 8 , wherein the report type specifies framework parameters for the report.
12. The apparatus of claim 8 , wherein the computer program code, when executed by the processor, further causes the apparatus to:
generate, based on the report delivery information, an analytical insight regarding the data contained in the report,
wherein the generated report includes the analytical insight.
13. The apparatus of claim 12 , wherein the analytical insight includes at least one selected from the group consisting of: trends within the data, a sample size, suitability of control data, and an indication of statistical significance.
14. The apparatus of claim 8 , wherein the computer program code, when executed by the processor, further causes the apparatus to
receive login credentials from the user device; and
validate that the report type and report delivery information are accessible based on access rights associated with the login credentials.
15. A computer program product for generating reports regarding promotions, the computer program product comprising a non-transitory computer-readable storage medium storing computer program code that, when executed by an apparatus, causes the apparatus to:
receive, from a user device, a report type, a desired delivery frequency, and a report coverage time range, wherein the desired delivery frequency is determined based on a delivery frequency preference received from a report-requesting user profile associated with the user device, and wherein the report coverage time range is determined based on a report coverage time range preference received from the report-requesting user profile, and further wherein the delivery frequency preference and the report coverage time range preference are defined by distinct variables in a user report request associated with the report-requesting user profile;
collect, based on the report type, relevant data regarding the one or more promotions from one or more proprietary databases;
predictively model the collected data using one or more machine learning algorithms; and
at the desired delivery frequency,
generate, based on the predictive modeling of the collected data, a report using the collected data; and
output the generated report based on the report delivery information.
16. The computer program product of claim 15 , wherein the desired delivery frequency is hourly, daily, weekly, or monthly.
17. The computer program product of claim 15 , wherein the report type indicates a subscription to a standardized report.
18. The computer program product of claim 15 , wherein the report type specifies framework parameters for the report.
19. The computer program product of claim 15 , wherein the computer program code, when executed by the apparatus, further causes the apparatus to:
generate, based on the report delivery information, an analytical insight regarding the data contained in the report,
wherein the generated report includes the analytical insight.
20. The computer program product of claim 19 , wherein the analytical insight includes at least one selected from the group consisting of: trends within the data, a sample size, suitability of control data, and an indication of statistical significance.