System and method for improvements to pre-processing of data for forecasting

1. An on-premises system for pre-processing data for forecasting, the on-premises system comprising:

a data storage having stored thereon contact center interaction data in a source data structure;

at least one processor; and

at least one memory having a plurality of instructions stored thereon that, in response to execution by the at least one processor, causes the on-premises system to:

determine a corresponding first number of interactions per unit of time for a corresponding source interval of the contact center interaction data for each source interval represented in at least a portion of the source data structure;

determine a corresponding second number of units of time in a corresponding destination interval represented in an output data structure of a computing system;

determine a corresponding third number of interactions in the corresponding destination interval based on the corresponding first number of interactions per unit of time for the corresponding source interval and the corresponding second number of units of time in the corresponding destination interval for each source interval represented in the at least the portion of the source data structure; and

immediately store to the output data structure of the computing system, for each corresponding destination interval and without use of a third data structure intermediate to the source data structure and the output data structure, data representative of the corresponding third number of interactions determined for the corresponding destination interval.

2. The on-premises system of claim 1 , wherein to determine the corresponding first number of interactions per unit of time comprises to determine the corresponding first number of interactions per unit of time in response to receipt of a request to forecast contact center interaction data using the computing system.

3. The on-premises system of claim 2 , wherein the computing system comprises a cloud-based computing system; and

wherein the request to forecast the contact center interaction data comprises a request to migrate the contact center interaction data from the on-premises system to the cloud-based computing system.

4. The on-premises system of claim 2 , wherein the request to forecast contact center interaction data comprises an on-demand user request.

5. The on-premises system of claim 1 , wherein to determine the corresponding first number of interactions per unit of time comprises to determine the corresponding first number of interactions per unit of time in response to a periodic trigger for pre-processing data for forecasting according to a predefined interval.

6. The on-premises system of claim 1 , further comprising a contact center system; and

wherein the contact center system comprises the at least one processor and the at least one memory.

7. The on-premises system of claim 6 , wherein the corresponding first number of interactions comprises one of (i) a number of calls offered to agents of the contact center system, (ii) a number of calls handled by agents of the contact center system, or (iii) a total handle time of calls by agents of the contact center system.

8. The on-premises system of claim 1 , wherein the computing system is remotely located relative to the on-premises system.

9. The on-premises system of claim 1 , wherein to determine the corresponding third number of interactions in the destination interval comprises to multiply the corresponding first number of interactions per unit of time for the corresponding source interval by the corresponding second number of units of time in the corresponding destination interval.

10. A system for pre-processing data for forecasting, the system comprising:

a cloud-based computing system comprising a cloud-based data storage configured to store an output data structure; and

an on-premises contact center system comprising an on-premises data storage having stored thereon contact center interaction data in a source data structure, the on-premises contact center system configured to (i) determine a corresponding first number of interactions per unit of time for a corresponding source interval of the contact center interaction data for each source interval represented in at least a portion of the source data structure, (ii) determine a corresponding second number of units of time in a corresponding output interval represented in the output data structure of the cloud-based computing system, (iii) determine a corresponding third number of interactions in the corresponding output interval based on the corresponding first number of interactions per unit of time for the corresponding source interval and the corresponding second number of units of time in the corresponding output interval for each source interval represented in the at least the portion of the source data structure, and (iv) store to the output data structure of the cloud-based computing system, for each corresponding destination interval and without use of a third data structure intermediate to the source data structure and the output data structure, data representative of the corresponding third number of interactions determined for the corresponding destination interval.

11. The system of claim 10 , wherein the cloud-based computing system is configured to forecast contact center system interaction data based on data representative of the corresponding third number of interactions stored to the output data structure.

12. The system of claim 10 , wherein to determine the corresponding first number of interactions per unit of time comprises to determine the corresponding first number of interactions per unit of time in response to receipt of a request to migrate the contact center interaction data from the on-premises contact center system to the cloud-based computing system.

13. The system of claim 10 , wherein to determine the corresponding first number of interactions per unit of time comprises to determine the corresponding first number of interactions per unit of time in response to a periodic trigger for pre-processing data for forecasting according to a predefined interval.

14. The system of claim 10 , wherein the corresponding first number of interactions comprises one of (i) a number of calls offered to agents of the on-premises contact center system, (ii) a number of calls handled by agents of the on-premises contact center system, or (iii) a total handle time of calls by agents of the on-premises contact center system.

15. The system of claim 10 , wherein to determine the corresponding third number of interactions in the destination interval comprises to multiply the corresponding first number of interactions per unit of time for the corresponding source interval by the corresponding second number of units of time in the corresponding destination interval.

16. A method of pre-processing data for forecasting, the method comprising:

determining, by an on-premises contact center system, a corresponding first number of interactions per unit of time for a corresponding source interval of the contact center interaction data for each source interval represented in at least a portion of the source data structure;

determining, by the on-premises contact center system, a corresponding second number of units of time in a corresponding destination interval represented in an output data structure of a computing system;

determining, by the on-premises contact center system, a corresponding third number of interactions in the corresponding destination interval based on the corresponding first number of interactions per unit of time for the corresponding source interval and the corresponding second number of units of time in the corresponding destination interval for each source interval represented in the at least the portion of the source data structure; and

storing to the output data structure of the computing system, for each corresponding destination interval and without use of a third data structure intermediate to the source data structure and the output data structure, data representative of the corresponding third number of interactions determined for the corresponding destination interval.

17. The method of claim 16 , wherein determining the corresponding first number of interactions per unit of time comprises determining the corresponding first number of interactions per unit of time in response to receiving an on-demand user request to forecast contact center interaction data using the computing system.

18. The method of claim 16 , wherein determining the corresponding first number of interactions per unit of time comprises determining the corresponding first number of interactions per unit of time in response to a periodic trigger for pre-processing data for forecasting according to a predefined interval.

19. The method of claim 16 , wherein the corresponding first number of interactions comprises one of (i) a number of calls offered to agents of a contact center system, (ii) a number of calls handled by agents of the contact center system, or (iii) a total handle time of calls by agents of the contact center system.

20. The method of claim 16 , wherein determining the corresponding third number of interactions in the destination interval comprises multiplying the corresponding first number of interactions per unit of time for the corresponding source interval by the corresponding second number of units of time in the corresponding destination interval.