Method and system for auditing processes and projects for process improvement
Systems and methods for auditing knowledge-based projects or methods wherein the users participate in and contribute to generating an automatically updating community data set for obtaining information for evaluating and comparing a target project to best practices and relevant comparables from within the community data to audit likelihood of success and to predict the outcome of the knowledge-based project, and to identify components for improvement or modification to improve the outcome.
1. A method for auditing a knowledge-based project for a first subscriber, the first subscriber having at least one first user participating in the knowledge-based project, the method comprising the steps of:
a. obtaining data relating to at least one additional knowledge-based project from at least one additional subscriber, the obtained data forming community data, which is based on comparables from more than one entity within the community;
b. obtaining data relating to the knowledge-based project from the first subscriber, the obtained data forming subscriber data; and
c. comparing the community data with the subscriber data for comparing a target project with the community data to predict the outcome of the knowledge-based project.
2. The method of claim 1 , wherein the subscriber data further comprises data collected from at least one additional user participating in the knowledge-based project.
3. The method of claim 1 , wherein the knowledge-based project is a software development project.
4. The method of claim 3 , wherein the subscriber and/or the community data is obtained from software development lifecycle activities.
5. The method of claim 1 , wherein the community data comprises subscriber specific data and the first subscriber cannot view the subscriber specific data from any of the at least one additional subscribers.
6. The method of claim 1 , wherein the first subscriber can view the subscriber data collected from the first subscriber.
7. The method of claim 1 , wherein the community data is obtained by aggregating data relating to the knowledge-based project from the first subscriber and data relating to the at least one additional knowledge-based project from the at least one additional subscriber.
8. The method of claim 1 , wherein the community data is derived from a subset of data obtained by aggregating data relating to the knowledge-based project from the first subscriber and data relating to the at least one additional knowledge-based project from the at least one additional subscriber.
9. The method of claim 8 , wherein the subset of the data is selected using an attribute of the first subscriber and the attribute is obtained from at least one stage of a software development project.
10. The method of claim 8 , wherein the subset of the data is selected using an attribute of the first subscriber and the attribute is obtained from at least one activity in the software development project.
11. The method of claim 8 , wherein the subset of the data is selected using an attribute of the first subscriber and the attribute is a size of the first subscriber, a location of the first subscriber, a primary activity of the first subscriber, a number of employees of the first subscriber subscriber, or other first subscriber specific attributes.
12. The method of claim 7 , wherein the knowledge-based project has a current completion status and the outcome of the knowledge-based project is predicted by comparing the current project completion status with the community data to obtain a predictive end date for the knowledge-based project.
13. The method of claim 1 , further comprising the step of aggregating subscriber data and community data to obtain best practices data for the knowledge-based project.
14. The method of claim 13 , further comprising the step of comparing the current knowledge-based project with the best practices to determine the completion time of the current knowledge-based project.
15. The method of claim 13 , wherein the best practices are obtained by aggregating subscriber data and community data for knowledge-based projects sharing a common attribute.
16. A system for auditing a knowledge-based project for a first subscriber, the first subscriber having at least one user participating in the knowledge-based project, the system comprising:
a server for storing community data and subscriber data, the community data collected from at least one additional subscriber performing at least one additional knowledge-based project, the subscriber data collected from the at least one user belonging to the first subscriber, the community data relating to the at least one additional knowledge-based project, which is based on comparables from more than one entity within the community, and the subscriber data relating to the knowledge-based project;
a computational device for predicting an outcome of the knowledge-based project of the first subscriber by comparing data obtained from the knowledge-based project with the community data; and
a client connected to the server and the computational device for providing the predicted project outcome to the at least one user belonging to the first subscriber.
17. The system of claim 16 , wherein the subscriber data and community data contain information about time required to complete at least one knowledge-based project.
18. The system of claim 16 , wherein the subscriber data and the community data contain information about time required to complete at least one task of a knowledge-based project.
19. The system of claim 16 , wherein the subscriber data and community data are protected so that the first subscriber cannot view data from the at least one additional subscriber.