Microsoft Technology Licensing, LLC

Adithya Nittor Vishwanath

Abhishek Agarwal

Ramani Jagadeba

David Robert Shutt

Andrew Robert Miller

Sonal Sawhney

Abhijit Gore

Edward A Martinez

Kulothungan Rajasekaran

Ashish Kothari

Mahesh Hariharan

Prateek Rajvanshi

Sutirtha Saha

Ashwinderjit Kaur

Shaleen Sharma

Rajarshi Ray

Anirban Saha

Nitin Mukhija

Manjeet Bothra

Kunal Garg

Eric Fernandes

Ankit Malpani

Edward Martinez

Kritika Kishore Prasad

Siddhartha Rai

Kaladhar Bapu V S Korasala

Tushar Bhatia

Gaurav Agrawal

Rishab Govind

Ramprasadh Kothandaraman

Jeff Kelleran

A qualifying system receives a channel activity record from one of a plurality of different external systems, over one of a plurality of different communication channels. It accesses qualification rules to determine whether the channel activity record is to be transformed into one or more target entities in a computing system. If so, a conversion engine accesses user-configurable mappings and conversion rules to identify conversion actions that are to be taken in order to transform the channel activity record into one or more target entities. The conversion engine performs a data transformation on the channel activity record to transform it into the identified one or more target entities.

Transforming data to share across applications

A data reporting framework that works across on-premise and hosted Customer Relationship Management (CRM) platforms enabling definition and execution of secure custom reports is provided. A fetch query language of a CRM platform is used along with reporting service tools and constructs to enable users to upload and execute custom fetch based reports with support for expressions, code, formatting, and drill through. Users are also enabled to build simple reports from within CRM and, if needed, enhance those reports using reporting service tools and re-upload in CRM. Furthermore, custom reports may be executed in a sandboxed environment to provide full security in a multi-tenant, hosted CRM system.

Data reporting framework across on-premise and hosted CRM services

Architecture that facilitates the attachment of multiple visualization types (e.g., charts) to the data of a grid and the presentation of the visualization next to the grid. The infrastructure allows each data view to be associated with a set of visualizations. These visualizations are rendered along with the grid (in a separate presentation pane) so that the user does not have to switch context to perform analysis. The visualizations available include charts that show aggregate and/or non-aggregate data. In a server farm scenario, all user interactions such as drill-downs are provided. Server farm drill-downs for these visualizations can be obtained using MHTML (MIME hypertext markup language). The visualizations can be automatically updated when filters are applied on the grid, and when drill-down is performed on the visualization, the grid is automatically updated. The visualizations can be consumed from a web-based browser client and/or thick client, for example.

Bi-directional update of a grid and associated visualizations

Growing community of inventors

Hyderabad Telangana, India

Adithya Nittor Vishwanath