Enterprise data processing
An enterprise data processing module and method are described herein. The enterprise data processing module comprises at least one collector and at least one analyzer. The collectors may be operable to collect data pieces from a plurality of data sources. The analyzers may be operable to analyze the collected data pieces to determine cross-source relationships that exist between the data pieces collected from the plurality of sources. The analyzed data pieces may be stored in one or more big-data databases as blocks of data according to the cross-source relationships.
1. A system comprising a non-transitory computer readable medium storing a sequence of instructions, wherein:
the sequence of instructions, when executed by a processor, are operable to cause the processor to:
collect data related to a particular entity,
produce a plurality of metrics according to the collected data,
transfer the collected data, as a data glob, according to the plurality of metrics, and
produce one or more indicators according to a weighted combination of the plurality of metrics;
the plurality of metrics indicate a sentiment about one or more dimensions of a particular entity;
the collected data is from one or more data sources;
the plurality of metrics provide a cross-source relationship across the collected data;
the data glob is transferred to a data center maintained by a third party;
the data glob is accessible through one or more network connections;
the data glob is evolved through user interaction; and
the user interaction with the data glob does not require a user to retrieve the collected data or the cross-source relationship to analyze additional relationships.
2. The system of claim 1 , wherein the one or more data sources comprise one or more of a website server, a social networking application programming interface (API) server, an Internet message access protocol (IMAP) server, and a file transfer protocol (FTP) server.
3. The system of claim 1 , wherein the one or more data sources store one or more of an email database, a social media database, a bulletin board database, a content management system, a server log, a phone log, a customer service log, a sales database, an engineering database, a marketing database and a corporate database.
4. The system of claim 1 , wherein the sequence of instructions, when executed by a processor, are operable to cause the processor to collect the data at regular time intervals.
5. The system of claim 1 , wherein the sequence of instructions, when executed by a processor, are operable to cause the processor to analyze the weighted combination of the plurality of metrics over time.
6. The system of claim 1 , wherein the sequence of instructions, when executed by a processor, are operable to cause the processor to analyze the sentiment, about one or more dimensions of a particular entity, over time.
7. The system of claim 1 , wherein the weighted combination of the plurality of metrics is based on one or more weights assigned from a user interface.
8. The system of claim 1 , wherein the particular entity is an enterprise.
9. The system of claim 1 , wherein the particular entity is a company.
10. The system of claim 1 , wherein the collected data comprises non-textual data.
11. The system of claim 1 , wherein each metric in the plurality of metrics is normalized to a range between −1 and 1.
12. The system of claim 1 , wherein the sentiment is one of negative, neutral, and positive.
13. The system of claim 1 , wherein the one or more dimensions of the particular entity include a strength level.
14. The system of claim 1 , wherein the one or more dimensions of the particular entity include a weakness level.
15. The system of claim 1 , wherein the one or more dimensions of the particular entity include an opportunity level.
16. The system of claim 1 , wherein the one or more dimensions of the particular entity include a threat level.
17. A method for producing one or more indicators of a particular entity, wherein the method comprises:
using a processor for:
collecting data related to a particular entity;
producing a plurality of metrics according to the collected data;
transferring the collected data, as a data glob, according to the plurality of metrics;
producing one or more indicators according to a weighted combination of the plurality of metrics, wherein:
the plurality of metrics indicate a sentiment about one or more dimensions of a particular entity,
the collected data is from one or more data sources,
the plurality of metrics provide a cross-source relationship across the collected data,
the data glob is transferred to a data center maintained by a third party, and
the data glob is accessible through one or more network connections; and
evolving the data glob is through user interaction, wherein the user interaction with the data glob does not require a user to retrieve the collected data or the cross-source relationship to analyze additional relationships.
18. The method of claim 17 , wherein the one or more data sources comprise one or more of a website server, a social networking application programming interface (API) server, an Internet message access protocol (IMAP) server, and a file transfer protocol (FTP) server.
19. The method of claim 17 , wherein the one or more data sources store one or more of an email database, a social media database, a bulletin board database, a content management system, a server log, a phone log, a customer service log, a sales database, an engineering database, a marketing database and a corporate database.
20. The method of claim 17 , wherein the data collecting is at regular time intervals.
21. The method of claim 17 , wherein the method comprises analyzing the weighted combination of the plurality of metrics over time.
22. The method of claim 17 , wherein the method comprises analyzing the sentiment, about one or more dimensions of a particular entity, over time.
23. The method of claim 17 , wherein the weighted combination of the plurality of metrics is based on one or more weights assigned from a user interface.
24. The method of claim 17 , wherein the particular entity is an enterprise.
25. The method of claim 17 , wherein the particular entity is a company.
26. The method of claim 17 , wherein the collected data comprises non-textual data.
27. The method of claim 17 , wherein each metric in the plurality of metrics is normalized to a range between −1 and 1.
28. The method of claim 17 , wherein the sentiment is one of negative, neutral, and positive.
29. The method of claim 17 , wherein the one or more dimensions of the particular entity include a strength level.
30. The method of claim 17 , wherein the one or more dimensions of the particular entity include a weakness level.
31. The method of claim 17 , wherein the one or more dimensions of the particular entity include an opportunity level.
32. The method of claim 17 , wherein the one or more dimensions of the particular entity include a threat level.