Methods and systems for using multiple data sets to analyze performance metrics of targeted companies
New and improved methods and systems for modeling the performance of selected company metrics. Multiple, non-traditional sets of objective data along with mathematical analytical techniques are used to provide transparency and visibility into company performance relating to the particular metrics. Company inflection points and changes in strategy may be identified. The performance of a company and/or the performance of a selected industry or industry sector may be analyzed.
1. A system for preparing a model to analyze a performance metric of a selected company or industry, comprising:
at least one computer server coupled with an electronic network and a database and configured to
a) identify a first electronic data source having a first set of data pertinent to the performance metric of the selected company or industry;
b) receive the first set of data via the electronic network;
c) validate the first set of data;
d) identify an additional electronic data source, the additional electronic data source having an additional set of data different from the first set of data and pertinent to the performance metric of the selected company or industry;
e) receive the additional set of data via the electronic network;
f) validate the additional set of data;
g) combine the first set of data and the additional set of data in a combined data set;
h) select an analytical process to apply to the combined data set, wherein the selected analytical process is selected from the group comprising a regression analysis, a neural network analysis, an artificial intelligence analysis, and a spectral analysis;
i) apply the selected analytical process to the combined data set to develop a model of the performance metric;
j) validate the model of the performance metric against the actual performance of the selected company; and
k) store the first set of data and the additional set of data in a structured machine readable format in the database.
2. The system of claim 1 wherein each of the first data set and the additional data set comprise non-fundamental data for the respective company or industry.
3. The system of claim 1 , further configured to, prior to g):
select an analytical process to apply to the selected data set;
apply the selected analytical process to the selected data set to develop a model of the performance metric; and
validate the model of the performance metric against the actual performance of the selected company or industry.
4. The system of claim 3 , wherein, if system fails to validate the model of the performance metric against the actual performance of the selected company or industry, then said server discards the selected data set and performs d), e), f), g), h), i) and j) for an additional data set.
5. The system of claim 1 wherein said server is configured to repeat d), e), f), g), h), i) and j) for at least one additional data set.
6. The system of claim 5 wherein at least one of the first data set and additional data sets are licensed from a third-party.
7. The system of claim 5 , wherein at least one of the first data set and additional data sets are proprietary to an operator of the computer.
8. The system of claim 5 , wherein the at least one proprietary data set is collected from publicly available data by an operator of the computer.
9. The system of claim 1 , wherein the system is further configured to:
clean the data to remove extraneous data; and
evaluate the validity of the cleaned data.
10. The system of claim 1 , wherein at least one of the first data set and the additional data set comprises data output from a model of the performance metric.
11. The system of claim 1 , wherein at least one of the first data set and the additional data set comprise data collected from a publicly accessible Internet web site.