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公开(公告)号：US10191802B2
公开(公告)日：2019-01-29
申请号：US15158129
申请日：2016-05-18
Applicant: Oracle International Corporation
Inventor： Ispati Nautiyal , Rajesh Balu
Abstract: A cloud-based ETL system provides error detection, error correction and reporting of data integration flows hosted by cloud services. Categories of errors are identified using one or more checks at different points of a data integration flow and one or more actions selected based at least in part on the error category. A determination can be made whether the error category is fault tolerant and one or more actions can be selected based at least in part on the error fault tolerance to correct the error, restart a flow, or generate a notification assisting a user to correct the error.
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公开(公告)号：US20190138387A1
公开(公告)日：2019-05-09
申请号：US16235135
申请日：2018-12-28
Applicant: Oracle International Corporation
Inventor： Ispati Nautiyal , Rajesh Balu
CPC classification number: G06F11/10 , G06F11/0793 , G06F11/1008 , G06F11/1076 , G06F16/254 , G06F2201/80
Abstract: A cloud-based ETL system provides error detection, error correction and reporting of data integration flows hosted by cloud services. Categories of errors are identified using one or more checks at different points of a data integration flow and one or more actions selected based at least in part on the error category. A determination can be made whether the error category is fault tolerant and one or more actions can be selected based at least in part on the error fault tolerance to correct the error, restart a flow, or generate a notification assisting a user to correct the error.
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3.发明授权公开(公告)号：US11687863B2
公开(公告)日：2023-06-27
申请号：US17476242
申请日：2021-09-15
Applicant: Oracle International Corporation
Inventor： David Granholm , Rajesh Balu , Ananth Venkata , John Fuller
IPC: G06F16/00 , G06Q10/0639 , G06F11/34 , G06F16/23 , G06F16/26
CPC classification number: G06Q10/06393 , G06F11/3409 , G06F16/2343 , G06F16/2358 , G06F16/2365 , G06F16/26
Abstract: In accordance with an embodiment, described herein is a system and method for providing key performance indicator (KPI) customization in an analytic applications environment, which enables data analytics within the context of an organization's enterprise software application or data environment, or a software-as-a-service or other type of cloud or computing environment. The system supports customization derived from multiple layers which, in aggregate, can yield a customized performance metric or KPI object. In accordance with an embodiment, the system enables creation of a customized KPI, by layering variations of the KPI information on an original (e.g., out-of-the-box or factory) KPI object which are merged at runtime to create the final customized KPI. Each delta-KPI can itself also support multiple, e.g., site/user levels/layers. The approach can be used to provide extensibility for user interface decks/dashboards on which KPI visualization objects, such as decks, cards, dashboards, or other types of visualizations, appear.
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Patent Agency Ranking
公开(公告)号：US20200097879A1
公开(公告)日：2020-03-26
申请号：US16580746
申请日：2019-09-24
Applicant: Oracle International Corporation
Inventor： Ananth Venkata , Rajesh Balu , Vikas Agrawal , Naren Chawla , Archana Dixit
Abstract: Described herein are systems and techniques for identifying at-risk opportunities and generating a recommendation that can be used by the representatives to help salvage the opportunities. Historical information as well as machine learning algorithms are used to identify the failing opportunities by classifying new and currently in-pursuit opportunities using information from past opportunities to identify which of the new and in-pursuit opportunities might be at risk. Distances between opportunities are estimated based on local neighborhoods determined by relevant variables influencing those opportunities in the local neighborhood. The shortest distance between at risk opportunities and winning opportunities can be identified and utilized to generate the recommendation based on the relevant variables for the shortest path. In some embodiments, an ordered list of actions or changes to actions needed for a successful disposition of the opportunity may be generated and provided to the representative.
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公开(公告)号：US11741415B2
公开(公告)日：2023-08-29
申请号：US17476246
申请日：2021-09-15
Applicant: Oracle International Corporation
Inventor： David Granholm , Rajesh Balu , Ananth Venkata , John Fuller
IPC: G06Q10/0639 , G06F11/34 , G06F16/23 , G06F16/26
CPC classification number: G06Q10/06393 , G06F11/3409 , G06F16/2343 , G06F16/2358 , G06F16/2365 , G06F16/26
Abstract: In accordance with an embodiment, described herein is a system and method for providing key performance indicator (KPI) customization in an analytic applications environment, which enables data analytics within the context of an organization's enterprise software application or data environment, or a software-as-a-service or other type of cloud or computing environment. The system supports customization derived from multiple layers which, in aggregate, can yield a customized performance metric or KPI object. In accordance with an embodiment, the system supports a user interface with icons that describe original (e.g., out-of-the-box or factory) KPIs and user-modified KPIs. When a user modifies an original KPI object to create a customized KPI, its icon is changed to visibly indicate that the user has modified the KPI. The customized KPI can be used within KPI decks, cards, dashboards, or other types of visualizations; while retaining a lineage to the original KPI object.
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公开(公告)号：US11367034B2
公开(公告)日：2022-06-21
申请号：US16586347
申请日：2019-09-27
Applicant: Oracle International Corporation
Inventor： Renu Chintalapati , Manisha Gupta , Ashlesh Bajpai , David Granholm , Stefan Schmitz , Naren Chawla , Matthew Bedin , Jacques Vigeant , Ananth Venkata , Rajesh Balu , Vikas Agrawal
IPC: G06Q10/06 , G06F9/451 , G06T11/20 , G06F3/0482
Abstract: Described herein are techniques for identifying highly relevant content for a user to view in the form of KPI cards and providing the relevant view to the user automatically or by suggestion. The KPIs of highest practical and statistical significance are provided when the user accesses the user interface. In some embodiments, when the user is viewing a KPI, other relevant KPIs may be provided for the user to view as suggestions. Further, in some embodiments, the user may be provided with the KPIs of significance based on anomaly detection, and the explanation for the anomaly as well as suggestions for remedying any issues may be provided to the user. The highly informational content can be surfaced through the use of the advanced machine learning algorithms described herein.
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公开(公告)号：US10678632B2
公开(公告)日：2020-06-09
申请号：US16235135
申请日：2018-12-28
Applicant: Oracle International Corporation
Inventor： Ispati Nautiyal , Rajesh Balu
Abstract: A cloud-based ETL system provides error detection, error correction and reporting of data integration flows hosted by cloud services. Categories of errors are identified using one or more checks at different points of a data integration flow and one or more actions selected based at least in part on the error category. A determination can be made whether the error category is fault tolerant and one or more actions can be selected based at least in part on the error fault tolerance to correct the error, restart a flow, or generate a notification assisting a user to correct the error.
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公开(公告)号：US20170068595A1
公开(公告)日：2017-03-09
申请号：US15158129
申请日：2016-05-18
Applicant: Oracle International Corporation
Inventor： Ispati Nautiyal , Rajesh Balu
CPC classification number: G06F11/10 , G06F11/0793 , G06F11/1008 , G06F11/1076 , G06F17/30563 , G06F2201/80
Abstract: A cloud-based ETL system provides error detection, error correction and reporting of data integration flows hosted by cloud services. Categories of errors are identified using one or more checks at different points of a data integration flow and one or more actions selected based at least in part on the error category. A determination can be made whether the error category is fault tolerant and one or more actions can be selected based at least in part on the error fault tolerance to correct the error, restart a flow, or generate a notification assisting a user to correct the error.
Abstract translation: 基于云的ETL系统提供由云服务托管的数据集成流的错误检测，纠错和报告。 使用在数据集成流的不同点上的一个或多个检查和至少部分地基于错误类别选择的一个或多个动作来识别错误的类别。 可以确定错误类别是否是容错的，并且至少部分地基于错误容错来选择一个或多个动作以校正错误，重新启动流程或生成帮助用户纠正错误的通知 。
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