MOBILE DEVICE ANALYTICS ENGINE

• US 20140012799A1
• Filed: 07/03/2012
• Published: 01/09/2014
• Est. Priority Date: 07/03/2012
• Status: Active Grant

• Current Assignee: SAP SE
• Original Assignee: SAP AG (SAP SE)
• Inventors: Eberlein, Peter, Said, Bare
• Granted Patent: US 9,183,540 B2
• Time in Patent Office: Days
• US Class Current: 707/603
• CPC Class Codes: G06F 16/24 Querying
• CPC Class Codes: G06F 16/245 Query processing
• CPC Class Codes: G06F 16/248 Presentation of query results
• CPC Class Codes: G06F 16/254 Extract, transform and load [ETL] procedures, e.g. ETL data flows in data warehouses
• CPC Class Codes: G06F 16/3331 Query processing
• CPC Class Codes: G06F 16/9032 Query formulation
• CPC Class Codes: G06F 16/951 Indexing; Web crawling techniques
• CPC Class Codes: G06Q 10/10 Office automation; Time management

Abstract

A mobile computing platform for a mobile device, which has an interface for a remote connection to a backend server, includes a mobile analytics engine. The mobile analytics engine is configured to implement a mobile analytics model, which defines data, query and report structures for analytics of business data stored on the backend server. The mobile analytics engine uses model metadata to provide a generic reporting and analytics interface to support diverse mobile business analytics applications.

Claims

1. A mobile computing platform for a mobile device, comprising:

an interface for a remote connection to a backend server;

a mobile analytics engine; and

a metadata repository,

wherein the mobile analytics engine is configured to implement a mobile analytics model and provide a reporting and analytics interface to a mobile business application,

wherein the mobile analytics model defines data, query and report structures for analytics of business data stored on the backend server, and

wherein the metadata repository is configured to store model metadata on the mobile device for use by the mobile analytics engine.

2. The mobile computing platform of claim 1, wherein the mobile analytics engine is configured to modify a query depending on a data transfer capacity of the remote connection to the backend server.

3. The mobile computing platform of claim 1, wherein the mobile analytics model assigns aggregation grades to data attributes, and wherein the mobile analytics engine is configured to modify a query to prioritize transfer of data from the backend server for a data attribute depending on the aggregation grade assigned to the data attribute.

4. The mobile computing platform of claim 1, wherein the mobile analytics engine is configured to dynamically modify a query by excluding a data attribute to reduce an amount of data retrieval from the backend server.

5. The mobile computing platform of claim 1, wherein the mobile analytics engine is configured to dynamically modify a query by excluding a data attribute for which previously replicated data or cached data is available locally in the mobile device.

6. The mobile computing platform of claim 1, wherein the mobile analytics engine is configured to dynamically modify a subsequent query in a query chain by excluding a data attribute for which data was previously retrieved from the backend server by a precedent query.

7. The mobile computing platform of claim 6, wherein the mobile analytics engine is further configured to supplement data retrieved by the subsequent query from the backend server with the data that was previously retrieved from the backend server by the precedent query for presentation to a mobile business application user.

8. The mobile computing platform of claim 1, wherein the mobile analytics engine is configured to locally process a subsequent query in a query chain without involving the backend server using data that was previously retrieved from the backend server by a precedent query.

9. The mobile computing platform of claim 1, wherein the mobile analytics engine is further configured to use previously replicated data or cached data that is available locally to respond to a query when the mobile device is offline.

10. A method, comprising:

on a mobile device,

providing an interface for a remote connection to a backend server; and

implementing a mobile analytics model to support a mobile business analytics application,

wherein the mobile analytics model defines data, query and report structures for analytics of business data stored on the backend server.

11. The method of claim 10, wherein implementing the mobile analytics model includes using model metadata to process reporting and analytics functions of the mobile business analytics application.

12. The method of claim 10, wherein implementing the mobile analytics model includes modifying a query depending on a data transfer capacity of the remote connection to the backend server.

13. The method of claim 10, wherein the mobile analytics model assigns aggregation grades to data attributes, and wherein implementing the mobile analytics model includes modifying a query to prioritize transfer of data for a data attribute from the backend server according the aggregation grade assigned to the data attribute.

14. The method of claim 10, wherein implementing the mobile analytics model includes excluding a data attribute from a query to reduce an amount of data retrieval from the backend server.

15. The method of claim 10, wherein implementing the mobile analytics model includes modifying a subsequent query in a query chain to exclude a data attribute for which data was previously retrieved from the backend server by a precedent query.

16. The method of claim 15, further comprising supplementing data retrieved by the subsequent query from the backend server with the data that was previously retrieved from the backend server by a precedent query for presentation to a mobile business application user.

17. The method of claim 10, wherein implementing the mobile analytics model includes processing a subsequent query without involving the backend server using data that was previously retrieved from the backend server by one or more precedent queries.

18. The method of claim 10, wherein implementing the mobile analytics model includes using previously replicated data or cached data that is available locally to respond to a query when the mobile device is offline.

19. A computer program product embodied in non-transitory computer-readable media that includes executable code, which when executed:

implements a mobile analytics model on a mobile device having an interface for a remote connection to a backend server; and

provides a generic interface to support a mobile business analytics application by using model metadata to process reporting and analytics functions of the mobile business analytics application.

20. The computer program product of claim 19, which further includes executable code, which when executed:

modifies a query according to a data transfer capacity of the remote connection to the backend server.