FORECAST PREDICIBILITY AND ACCOUNTABILITY IN CUSTOMER RELATIONSHIP MANAGEMENT (CRM)

1 . A method for forecast predictability and accountability in a customer relationship management (CRM) system, the method comprising:

retrieving into memory of a computer from a database of a CRM system, different CRM records, the records indicating closed-won business opportunities and different characteristics of the closed-won business opportunities;

grouping in the memory the closed-won opportunities according to common characteristic;

computing total revenues for each grouping of the closed-won opportunities;

determining from the total revenues of each grouping, a characteristic associated with a greatest amount of total revenues compared to groupings of other characteristics; and,

assigning a higher priority in the CRM system to new business opportunities having the determined characteristic.

2 . The method of claim 1 , wherein the characteristic is a lead source.

3 . The method of claim 1 , further comprising:

additionally computing a total number of the closed-won opportunities associated with each grouping; and,

assigning a higher priority in the CRM system to each new business opportunity stemming from a characteristic of the grouping with a highest number of closed-won opportunities.

4 . The method of claim 1 , wherein the characteristic is an industry for each new business opportunity.

5 . The method of claim 1 , wherein the characteristic is a range of corporate size for each new business opportunity.

6 . The method of claim 1 , wherein the characteristic is a range of corporate revenues for each new business opportunity.

7 . A customer relationship management (CRM) data processing system configured for forecast predictability and accountability, the system comprising:

a host computing system comprising at least one computer with memory and at least one processor;

a CRM system executing in the memory of the host computing system;

a data store of CRM data accessible by the CRM system; and,

a forecast predictability and accountability module coupled to the CRM system and the data store, the module comprising program code enabled upon execution in the memory of the system to retrieve into memory from the data store different CRM records, the records indicating closed-won business opportunities and different characteristics of the closed-won business opportunities, to group in the memory the closed-won opportunities according to common characteristic, to compute total revenues for each grouping of the closed-won opportunities, to determine from the total revenues of each grouping, a characteristic associated with a greatest amount of total revenues compared to groupings of other characteristics and to assign a higher priority in the CRM system to new business opportunities having the determined characteristic.

8 . The system of claim 7 , wherein the characteristic is a lead source.

9 . The system of claim 7 , wherein the program code is further enabled to additionally compute a total number of the closed-won opportunities associated with each grouping and to assign a higher priority in the CRM system to each new business opportunity stemming from a characteristic of the grouping with a highest number of closed-won opportunities.

10 . The system of claim 7 , wherein the characteristic is an industry for each new business opportunity.

11 . The system of claim 7 , wherein the characteristic is a range of corporate size for each new business opportunity.

12 . The system of claim 7 , wherein the characteristic is a range of corporate revenues for each new business opportunity.

13 . A computer program product for forecast predictability and accountability in a customer relationship management (CRM) system, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a device to cause the device to perform a method comprising:

retrieving by the device into memory of a computer from a database of a CRM system, different CRM records, the records indicating closed-won business opportunities and different characteristics of the closed-won business opportunities;

grouping by the device in the memory the closed-won opportunities according to common characteristic;

computing by the device total revenues for each grouping of the closed-won opportunities;

determining by the device from the total revenues of each grouping, a characteristic associated with a greatest amount of total revenues compared to groupings of other characteristics; and,

assigning by the device a higher priority in the CRM system to new business opportunities having the determined characteristic.

14 . The computer program product of claim 13 , wherein the characteristic is a lead source.

15 . The computer program product of claim 13 , further comprising:

additionally computing by the device a total number of the closed-won opportunities associated with each grouping; and,

assigning by the device a higher priority in the CRM system to each new business opportunity stemming from a characteristic of the grouping with a highest number of closed-won opportunities.

16 . The computer program product of claim 13 , wherein the characteristic is an industry for each new business opportunity.

17 . The computer program product of claim 13 , wherein the characteristic is a range of corporate size for each new business opportunity.

18 . The computer program product of claim 13 , wherein the characteristic is a range of corporate revenues for each new business opportunity.