Sap Ag

Sap Se

Other

The Nielsen Comapny (us), LLC

The Nielson Company (us), LLC

Telephia, Inc.

Andreas Vogel

Noah B K Suojanen

Dominic Hehn

Mark E Adams

Andrew S Brenner

Simon Lee

Sigo Henkel

Mathias Zietzschmann

Steffen Maier

Susanne Gottlieb

Christian Scheelen

Andreas Kunstein

Zhe Pu

Dennis Brian Moore

Alan Southall

Oren Haze

Lauren McMullen

Tuan Hung Pham

Fabrizio Muscarella

Tom Frangione

Michael Haft

Shailesh Jannu

Michael Decker

Nikolai P Angelov

Werner Sinzig

Jason Yotopoulos

Alon Barnes

Andreas Derksen

Miroslav Petrov

Andrei Tsognov

Christine Preisach

Liam Mahoney

Christopher Chin

Hariharan Vijayaraghavan

James Baer

A catalog application includes data for key indicators for performance measurement of applications. The catalog application comprises data for a large number of key indicators that may be compatible for different application. A monitoring application utilizes data for key indicators to measure performance of external applications. A catalog service interface is instantiated to process requests from the monitoring application to the catalog application. The external applications run in different technical environments and are part of different technical landscapes. A request to provide data for key indicators compatible with a first application is received at the instantiated service interface. The key indicators in the catalog application are filtered based on matching the technical characteristics of the first application with the key indicators' prerequisites. The data for the compatible key indicators is provided through invoking a user interface of the catalog application for display within the measuring application.

Integration of a catalog application with a monitoring application

A technique for determining and presenting marketing scenarios based on market characteristics are described herein. The technique includes receiving data regarding market environment and an expected change in the market environment. A number of market characteristics are calculated based on the collected data for a number of alternative marketing scenarios for addressing the change. A number of graphical objects corresponding to the marketing scenarios are displayed in a coordinate system to show correlation between a number of selected market characteristics. A number of additional components are assigned to the graphical objects to indicate additional characteristics of the presented marketing scenarios.

Computing marketing scenarios based on market characteristics

In an embodiment, a method of providing an arranged display of data associated with a set of time periods is presented. In this method, values of a first data type are accessed, the values being observed during each of multiple time periods. An order for the time periods is determined based on the values of the first data type. A selectable region for each of the time periods is displayed, the regions being arranged according to the order. In response to a user selection of one of the selectable regions, a value of a second data type is displayed, the value of the second data type being observed during the time period of the selected one of the selectable regions.

Arranged display of data associated with a set of time periods

A computer-implemented method for using a third-party recommendation in a game system includes: receiving, at a recommendation engine and from a game system, current game context data provided in real time during a game in which at least one user participates; selecting, by the recommendation engine, at least one of multiple predefined actions based on at least the current game context data; and providing a response to the game system that identifies the selected at least one action for performance.

Third-party recommendation in game system

A system and method to manage networked resources from a central management node. The management node is exposed to a common web services interface for a plurality of managed nodes having different system stacks. The management node and the managed nodes employ a schema to encode arbitrary data corresponding to management requests and responses into web services messages.

Management of networked resources on different platforms with a common interface

A gaming system identifies players in a game. A player interaction score may be computed for an identified player. One or more engagement actions may be generated based on the player interaction score. The gaming system may engage the identified player according to the one or more engagement actions. In some embodiments, the player interaction score may be used to categorize the identified player in a player segment, which in turn may be used as a basis for generating engagement actions.

Player segmentation based on predicted player interaction score

A gaming system may include an event filter to identify players as targets for engagement. The player may be modeled to predict what they might do under a given situation. One or more engagement actions may be developed based at least on the player's predicted behaviour. The player is then engaged in accordance with the engagement actions. Results from engagements with many players may be assessed and the gaming system may be adjusted according to the assessment.

Predictive analytics for targeted player engagement in a gaming system

A gaming system may include an event filter to identify a player as a target for engagement. The gaming system may engage the player in a dialogue with a non-player character to conduct a discussion with the player relating to the events that resulted in engaging the player. In some embodiments, the dialogue may include a pre-event game analysis. The dialogue may include recommendations or suggestions for improving the player's performance, and may include offering virtual game items to the player.

Artificial intelligence avatar to engage players during game play

A game system identifies players in a game. A player model may be provided that predicts whether or not an identified player is going to make a payment. Additional player models may be provided that predict whether or not a player is going to make a payment for specific virtual items in the game. The game system may engage the identified player based on the virtual items the player is predicted to make payments on.

Predictive analysis based on player segmentation

In an embodiment, a method is provided for transmitting data. In this method, a number from a sequence of numbers is identified, and each number from the sequence is associated with a time interval. A random number is generated and it is compared with the identified number. In reference to the time interval associated with the identified number, transmission of the data to the electronic device is initiated based on the comparison.

Load balancing of data transmissions

In an embodiment, a method of providing a personalized display of data is presented. In this method, an identity of each of multiple applications for displaying data is transmitted to a user device, such as, for example, a computer or mobile communication device. Selections of more than one of the multiple applications are received from the user device. Configuration data indicating the selected applications are generated and stored. A request for a presentation application is received from the user device. The presentation application is to display the data via execution of the selected applications. In response to the request, the presentation application is generated based on the configuration data, and includes the selected applications. The presentation application is then transmitted to the user device for execution.

Personalized dashboard architecture for displaying data display applications

A benchmarking computing application is configured to create a benchmark run for a segment of customer profiles. Customer profiles from the segment include a parameter, termed an adjustment parameter, that may affect energy consumption by the associated customer. The results of the benchmark run include energy consumption values for individual customer profiles in the segment, an average energy consumption value for the entire segment of customer profiles, and also adjustment energy consumption value. The adjustment energy consumption value reflects the portion of energy consumption by a particular customer attributed to the difference between the average value of the adjustment parameter for the segment and the value of the adjustment parameter for the particular customer profile.

Energy benchmarking analytics

A method and a system for measuring market data in a mobile communications system. The method and system may be used to obtain data such as growth, churn rate, and other measurable metrics of mobile communications device subscribers. The method includes selecting a sample of contact numbers, using one or more contacting or querying methodologies to assess the state of the contact numbers, and analyzing the results to determine the market data.

Method and system for collecting and analyzing market data in a mobile communications system

A data processing system includes telecommunication means for providing a data entry form to a client device and for receiving user data that has been entered into the data entry form from the client device, database means for storage of the user data, and program means for extracting application specific data from the database means.

Data processing system and method of data entry

Presentation methods are determined from a work context and/or user preferences. The presentation methods can be combined in any manner with various navigational methods and working modes, to present any type of enterprise data to a user.

Growing community of inventors

San Francisco, CA, United States of America

Andreas Vogel