The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jul. 14, 2020

Filed:

Dec. 20, 2017
Applicant:

Sap SE, Walldorf, DE;

Inventors:

Matthias Lehr, Weinheim, DE;

Fazlul Hoque, Weinheim, DE;

Satya Viswanathan, Wiesloch, DE;

Ebin Thomas Kandathil, Dielheim, DE;

Andreas Cardeneo, Weinheim, DE;

Assignee:

SAP SE, Walldorf, DE;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/248 (2019.01); G06F 21/10 (2013.01); G06F 16/2458 (2019.01); G06Q 10/04 (2012.01); G06Q 10/06 (2012.01);
U.S. Cl.
CPC ...
G06F 16/248 (2019.01); G06F 16/2465 (2019.01); G06F 21/105 (2013.01); G06Q 10/04 (2013.01); G06Q 10/063 (2013.01); G06F 2216/03 (2013.01); G06F 2221/0704 (2013.01);
Abstract

Structured exploration of available data provides insight allowing early detection/analysis of emerging issues. An in-memory database engine applies specialized information sources and filter criteria to an original data set to successively produce various exploration levels. Evidence relating to a particular exploration level (e.g., resulting data subset, metadata indicating chains of information sources/filter criteria) are stored at the user's instruction within an evidence package of the in-memory database. Information sources may be licensed from third parties, and may be present in the in-memory database. To improve computer performance, embodiments may delete results of previous exploration levels outside of the evidence package. Evidence from the evidence package may be displayed to afford insight into relationships between data subsets and an emerging issue. One structured exploration references a source of geographic information (e.g., pipeline location) and another source of (tractor) warranty claim information, to correlate tractor location with an emerging fuel pump issue.


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