CUSTOM-BRANDED ANALYTIC APPLICATIONS IN A MULTI-TENANT ENVIRONMENT

• US 20150046204A1
• Filed: 10/11/2013
• Published: 02/12/2015
• Est. Priority Date: 08/12/2013
• Status: Active Grant

• Current Assignee: GoodData Corporation
• Original Assignee: GoodData Corporation
• Inventors: Sitina, Jiri, Svoboda, Zdenek, Valka, Ondrej, Sedlacek, Jakub, Kostal, Zdenek, Damarla, Chanakya C., Palan, Hubert, Plattner, Oliver H.
• Granted Patent: US 9,870,543 B2
• Time in Patent Office: Days
• US Class Current: 705/7.11
• CPC Class Codes: G06Q 10/063 Operations research, analysis or management

Abstract

A consolidated business intelligence platform provides customized business analytics for a plurality of customer databases, each associated with a corresponding plurality of customers. Responsive to a request from a user for a customized business intelligence interface, the system determines a customer of the plurality of customers with which the user is affiliated; accesses a set of customization parameters for the determined customer, the customization parameters including a set of data analytics parameters and a set of data display parameters; and identifies, from the plurality of customer databases, a customer database associated with the determined customer. The system analyzes a dataset from the identified customer database using the set of data analytics parameters, and then formats the analyzed dataset for display based on the set of data display parameters, thereby generating the customized business intelligence interface for transmission to the user.

Claims

1. A method for providing customized business analytics in a multi-tenant environment, the method comprising:

maintaining, at a datastore, a plurality of customer databases associated with a corresponding plurality of customers;

maintaining a business intelligence platform configured to query the plurality of customer databases, the business intelligence platform storing a set of data analytics parameters for each customer; and

receiving a first query associated with a first customer;

responsive to receiving the first query;

accessing, by a processor, at the business intelligence platform, in the multi-tenant environment a first set of data analytics parameters;

identifying, from the plurality of customer databases, a first customer database associated with the first customer;

generating, by the processor, a first customized query from the first query based on the first set of data analytics parameters;

determining a first data set by processing the first customized query using the first customer database;

formatting the first dataset for display, thereby generating a first user interface; and

sending the first user interface to a user associated with the first customer;

receiving a second query associated with a second customer, the second query identical to the first query; and

responsive to receiving the second query;

accessing, by the processor, at the business intelligence platform, in the multi-tenant environment a second set of data analytics parameters for the second customer;

identifying, from the plurality of customer databases, a second customer database associated with the second customer;

generating, by the processor, a second customized query from the second query based the second set of data analytics parameters, the second customized query being distinct from the first customized query;

determining a second data set by processing the second customized query using the second customer database;

formatting the second dataset for display, thereby generating a second user interface, the second user interface being distinct from the first user interface; and

sending the second user interface to a user associated with the second customer.

2. The method of claim 1, wherein:

each database of the plurality of customer databases includes data representative of corresponding source data stored at a corresponding customer location; and

maintaining, at the datastore, the plurality of customer databases associated with the corresponding plurality of customers comprises, for a particular database corresponding to a particular customer;

retrieving representations of source data from a customer location corresponding to the particular customer; and

periodically updating the particular database based on modifications to the source data stored at the customer location.

3. The method of claim 1, wherein the set of data analytics parameters for each given customer comprise one or more parameters, custom-provided by the given customer and stored in the business intelligence platform, defining an analytical framework for processing business intelligence data stored in a customer database associated with the given customer.

5. The method of claim 1, further comprising:

responsive to receiving the first query;

accessing, at the business intelligence platform, a first set of data display parameters including one or more parameters, custom-provided by the first customer to control visual appearance of the first user interface,

wherein the first dataset is formatted for display based on the first set of data display parameters; and

responsive to receiving the second query;

accessing, at the business intelligence platform, a second set of data display parameters including one or more parameters, custom-provided by the second customer to control visual appearance of the second user interface,

wherein the second dataset is formatted for display based on the second set of data display parameters.

6. The method of claim 1, wherein the first and the second set of data display parameters define visual display properties of:

text content displayed on the first or the second user interface, graphical content displayed on the first or the second user interface, metadata content associated with the first or the second user interface or any combination thereof. generating the customized business intelligence interface for transmission to the user comprises;

7. The method of claim 1, wherein a set of data analytics parameters for a given customer is custom-provided by the given customer to control functionality of customized business analytics and query-customization for the given customer.

8. The method of claim 1, further comprising, providing a given customer modification rights to a set of data analytics parameters for the given customer, thereby enabling the given customer to modify one or more parameters of:

a set of data analytics parameters associated with the given customer and a set of data display parameters associated with the given customer.

9. The method of claim 1, further comprising, upon sending a customized user interface for display to a user, disabling the user from modifying one or more parameters of a set of data analytics parameters, thereby assigning the user view-only rights to one or more user interface elements of the customized user interface.

10. The method of claim 1, further comprising, upon sending a customized user interface for display to a user, providing the user modification rights to one or more parameters of the set of data analytics parameters to modify one or more user interface elements of the customized business intelligence interface.

11. The method of claim 1, wherein the generated user interface comprises one or more of:

a dashboard, a business report, a goal tracking interface, a performance tracking interface, one or more charts for data visualization.

12. The method of claim 1, wherein processing a customized query for a given user using a corresponding customer database comprises:

analyzing data from the corresponding customer database comprises applying statistical, aggregation, or dimensional data analysis methodology to process the unprocessed business data to obtain statistical trends underlying the data for enabling the given user to make business decisions.

15. The method of claim 1, wherein the business intelligence platform, in the multi-tenant environment comprises:

a unified metadata layer that stores a plurality of sets of customization parameters correspondingly for the plurality of customers, including a set of data analytics parameters and a set of data display parameters for each given customer;

an analytics engine that is configured to, responsive to receiving a query from a user associated with the given customer, process a a customized query corresponding to the given customer based on the set of data analytics parameters for the given customer; and

an application layer configured to, responsive to receiving a request from the user, generate a user interface for transmission to the user.

4. (canceled)

13. (canceled)

14. (canceled)

16. A method for providing customized business analytics, the method comprising:

maintaining a consolidated business intelligence platform configured to query one or more customer databases; and

responsive to a request from a user for a customized business intelligence interface, the request including identification information associated with the user;

determining a customer of a plurality of customers with which the user is affiliated;

accessing, at the business intelligence platform, a set of data analytics parameters;

identifying, from a plurality of customer databases, a customer database associated with the determined customer;

generating a customized query for the determined customer based on the set of data analytics parameters for the determined customer;

processing the customized query using the identified customer database using the set of data analytics parameters to generate a customized dataset;

formatting the customized dataset for display based on the set of data display parameters, thereby generating the customized business intelligence interface for transmission to the user associated with the customer; and

sending the generated customized business intelligence interface to the user.

17. A business intelligence system, comprising:

one or more processors;

memory; and

one or more programs stored in the memory, the one or more programs comprising instructions to;

maintain, at a datastore, a plurality of customer databases associated with a corresponding plurality of customers;

maintain a consolidated business intelligence platform configured to query the plurality of customer databases; and

responsive to a request from a user for a customized business intelligence interface, the request including identification information associated with the user;

determine a customer of the plurality of customers with which the user is affiliated;

access, at the business intelligence platform, a set of data analytics parameters and a set of data display parameters;

identify, from the plurality of customer databases, a customer database associated with the determined customer;

generate a customized query for the determined customer based on the set of data analytics parameters for the determined customer;

process the customized query using the identified customer database using the set of data analytics parameters to generate a customized dataset;

format the customized dataset for display based on the set of data display parameters, thereby generate the customized business intelligence interface for transmission to the user associated with the customer; and

send the generated customized business intelligence interface to the user.

18. A computer program product for providing customized business analytics, the computer program product comprising a non-transitory computer-readable storage medium containing computer program code for:

maintaining, at a datastore, a plurality of customer databases associated with a corresponding plurality of customers;

maintaining a consolidated business intelligence platform configured to query the plurality of customer databases; and

responsive to a request from a user for a customized business intelligence interface, the request including identification information associated with the user;

determining a customer of the plurality of customers with which the user is affiliated;

accessing, at the business intelligence platform a set of data analytics parameters;

identifying, from the plurality of customer databases, a customer database associated with the determined customer;

generating a customized query for the determined customer based on the set of data analytics parameters for the determined customer;

processing the customized query using the identified customer database using the set of data analytics parameters to generate a customized dataset;

formatting the customized dataset for display based on the set of data display parameters, thereby generating the customized business intelligence interface for transmission to the user associated with the customer; and

sending the generated customized business intelligence interface to the user.