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 and report delivery information, wherein the report delivery information indicates a desired delivery frequency;
receiving login credentials from the user device;
validating, by a processor, that the report type and report delivery information are accessible based on access rights associated with the login credentials;
collecting, based on the report type and after validation, relevant data regarding the one or more promotions from a proprietary database;
generating, by the processor, a report using the collected data;
generating, by the processor and based on the report delivery information, an analytical insight regarding the collected data,
wherein the analytical insight includes at least one selected from the group consisting of: rends within the data, a sample size, suitability of control data, and an indication of statistical significance, and
wherein the generated report includes the analytical insight; and
outputting the generated report based on the report delivery information.
2. The method of claim 1 , wherein the report type indicates a subscription to a standardized report.
3. The method of claim 1 , wherein the report type specifies framework parameters for the report.
4. The method of claim 1 , wherein the generated report further includes statistical information regarding the collected data.
5. The method of claim 1 , wherein generating the analytical insight regarding the collected data includes:
predictively modeling the collected data using one or more machine learning algorithms.
6. The method of claim 1 , further comprising:
outputting an alert based on generation of the report.
7. The method of claim 6 , further comprising:
identifying abnormal trends in the generated report,
wherein outputting the alert is in response to identifying the abnormal trends.
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 and report delivery information, wherein the report delivery information indicates a desired delivery frequency;
receive login credentials from the user device;
validate that the report type and report delivery information are accessible based on access rights associated with the login credentials;
collect, based on the report type and after validation, relevant data regarding the one or more promotions from a proprietary database;
generate a report using the collected data;
generate, based on the report delivery information, an analytical insight regarding the collected data,
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, and
wherein the generated report includes the analytical insight; and
output the generated report based on the report delivery information.
9. The apparatus of claim 8 , wherein the report type indicates a subscription to a standardized report.
10. The apparatus of claim 8 , wherein the report type specifies framework parameters for the report.
11. The apparatus of claim 8 , wherein the generated report further includes statistical information regarding the collected data.
12. The apparatus of claim 8 , wherein generating the analytical insight regarding the collected data includes:
predictively modeling the collected data using one or more machine learning algorithms.
13. The apparatus of claim 8 , wherein the computer program code, when executed by the processor, causes the apparatus to:
output an alert based on generation of the report.
14. The apparatus of claim 13 ,
wherein the computer program code, when executed by the processor, causes the apparatus to identify abnormal trends in the generated report, and
wherein the computer program code, when executed by the processor, causes the apparatus to output the alert in response to identifying the abnormal trends.
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 and report delivery information, wherein the report delivery information indicates a desired delivery frequency;
receive login credentials from the user device;
validate that the report type and report delivery information are accessible based on access rights associated with the login credentials;
collect, based on the report type and after validation, relevant data regarding the one or more promotions from a proprietary database;
generate a report using the collected data;
generate, based on the report delivery information, an analytical insight regarding the collected data,
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, and
wherein the generated report includes the analytical insight; and
output the generated report based on the report delivery information.
16. The computer program product of claim 15 , wherein the report type indicates a subscription to a standardized report.
17. The computer program product of claim 15 , wherein the report type specifies framework parameters for the report.
18. The computer program product of claim 15 , wherein the generated report further includes statistical information regarding the collected data.
19. The computer program product of claim 15 , wherein generating the analytical insight regarding the collected data includes:
predictively modeling the collected data using one or more machine learning algorithms.
20. The computer program product of claim 15 , wherein the computer program code, when executed by the apparatus, further causes the apparatus to:
output an alert based on generation of the report.
21. The computer program product of claim 20 ,
wherein the computer program code, when executed by the apparatus, further causes the apparatus to identify abnormal trends in the generated report, and
wherein the computer program code, when executed by the apparatus, further causes the apparatus to output the alert in response to identification of the abnormal trends.