Prediction tool
A system includes a memory, a prediction engine, and an offer engine. The memory stores a plurality of salaries and an average salary for each age group. The prediction engine determines that a first user is of a first age that belongs in a first age group and predicts, based on the salaries for the users in a second age group different from the first age group, a percentage of the average salary for the second age group that the first user will make at a second age greater than the first age. The prediction engine also determines a probability that the first user will retire at the second age based on the predicted percentage. The offer engine determines an amount of money that will increase the determined probability above a threshold and displays the amount of money, the determined probability, and the predicted percentage.
1. A system comprising:
an interface;
a memory configured to store:
a plurality of salaries, each salary of the plurality of salaries is a salary for a user of a plurality of users, each user of the plurality of users assigned to an age group of a plurality of age groups; and
an average salary for each age group of the plurality of age groups; and
a hardware processor communicatively coupled to the memory, the hardware processor configured to:
determine that a first user is of a first age that belongs in a first age group of the plurality of age groups;
predict, based on the salaries for the users in a second age group different from the first age group, a percentage of the average salary for the second age group that the first user will make at a second age greater than the first age, wherein the percentage of the average salary for the second age group that the first user will make at the second age is predicted by:
interpolating the salaries of the users in the second age group to produce an expected salary curve for the second age group;
determining an average salary for the second age group; and
determining, for each age of the second age group, based on the expected salary curve and the average salary for the second age group, a percentage of the average salary for the second age group that a user is expected to make at that age; and
determine a probability that the first user will retire at the second age based on the predicted percentage of the average salary; and an offer engine configured to:
determine an amount of money that, if given to the first user, will increase the determined probability above a threshold; and
display, on the interface, the amount of money, the determined probability, and the predicted percentage, wherein computing resources of an organization are allocated based on the determined probability.
2. The system of claim 1 , wherein the prediction engine is further configured to determine the probability that the first user will retire at the second age further based upon an amount of savings of the user.
3. The system of claim 1 , wherein the prediction engine is further configured to determine the probability that the first user will retire at the second age further based upon an amount of paid time off of the user.
4. The system of claim 1 , wherein the prediction engine is further configured to determine the probability that the first user will retire at the second age further based upon an average retirement age in a zip code associated with the user.
5. The system of claim 1 , wherein the prediction engine is further configured to determine the probability that the first user will retire at the second age further based upon a benefit provided by an employer of the user.
6. The system of claim 1 , wherein the offer engine is further configured to determine a cost of replacing the user after the user retires.
7. A method comprising:
storing, on at least one storage device, a plurality of salaries, each salary of the plurality of salaries is a salary for a user of a plurality of users, each user of the plurality of users assigned to an age group of a plurality of age groups;
storing, on the at least one storage device, an average salary for each age group of the plurality of age groups; and
determining, by at least one hardware processor communicatively coupled to the at least one storage device, that a first user is of a first age that belongs in a first age group of the plurality of age groups;
predicting, by the at least one hardware processor, based on the salaries for the users in a second age group different from the first age group, a percentage of the average salary for the second age group that the first user will make at a second age greater than the first age, wherein the percentage of the average salary for the second age group that the first user will make at the second age is predicted by:
interpolating the salaries of the users in the second age group to produce an expected salary curve for the second age group;
determining an average salary for the second age group; and
determining, for each age of the second age group, based on the expected salary curve and the average salary for the second age group, a percentage of the average salary for the second age group that a user is expected to make at that age;
determining, by the at least one hardware processor, a probability that the first user will retire at the second age based on the predicted percentage of the average salary;
determining, by the at least one hardware processor, an amount of money that, if given to the first user, will increase the determined probability above a threshold; and
displaying, on an interface, the amount of money, the determined probability, and the predicted percentage, wherein computing resources of an organization are allocated based on the determined probability.
8. The method of claim 7 , further comprising determining the probability that the first user will retire at the second age further based upon an amount of savings of the user.
9. The method of claim 7 , further comprising determining the probability that the first user will retire at the second age further based upon an amount of paid time off of the user.
10. The method of claim 7 , further comprising determining the probability that the first user will retire at the second age further based upon an average retirement age in a zip code associated with the user.
11. The method of claim 7 , further comprising determining the probability that the first user will retire at the second age further based upon a benefit provided by an employer of the user.
12. The method of claim 7 , further comprising determining a cost of replacing the user after the user retires.
13. An apparatus comprising:
a memory; and
a hardware processor communicatively coupled to the memory, the hardware processor configured to:
determine that a first user is of a first age that belongs in a first age group of a plurality of age groups;
predict, based on stored salaries for users in a second age group different from the first age group, a percentage of an average salary for the second age group that the first user will make at a second age greater than the first age, wherein the percentage of the average salary for the second age group that the first user will make at the second age is predicted by:
interpolating the salaries of the users in the second age group to produce an expected salary curve for the second age group;
determining an average salary for the second age group; and
determining, for each age of the second age group, based on the expected salary curve and the average salary for the second age group, a percentage of the average salary for the second age group that a user is expected to make at that age; and
determine a probability that the first user will retire at the second age based on the predicted percentage of the average salary; and an offer engine configured to:
determine an amount of money that, if given to the first user, will increase the determined probability above a threshold; and
display the amount of money, the determined probability, and the predicted percentage, wherein computing resources of an organization are allocated based on the determined probability.
14. The apparatus of claim 13 , wherein the prediction engine is further configured to determine the probability that the first user will retire at the second age further based upon an amount of savings of the user.
15. The apparatus of claim 13 , wherein the prediction engine is further configured to determine the probability that the first user will retire at the second age further based upon an amount of paid time off of the user.
16. The apparatus of claim 13 , wherein the prediction engine is further configured to determine the probability that the first user will retire at the second age further based upon an average retirement age in a zip code associated with the user.
17. The apparatus of claim 13 , wherein the prediction engine is further configured to determine the probability that the first user will retire at the second age further based upon a benefit provided by an employer of the user.
18. The apparatus of claim 13 , wherein the offer engine is further configured to determine a cost of replacing the user after the user retires.