Abstract: A method for generating composite prediction data, the method that includes obtaining, by a computing device, conventional prediction data based on historical revenue data, generating first distributed prediction data, using a first distributed model, based on first sales pipeline data, and obtaining a composite prediction data by aggregating the conventional prediction data and the first distributed prediction data.

Abstract: A method for identifying a risk deal in a dynamic sales pipeline, the method that includes selecting, by a risk data generator, a model based on historical accuracy, generating risk data for a sales entry in a dynamic sales pipeline, using the model, making a determination that the risk data indicates a risk deal, and in response to the determination, setting a risk flag in the sales entry.

Abstract: The present subject matter discloses system and method for generating a scalar vector graphics (SVG) image in an imaginary console. The system receives one or more image parameters, corresponding to the image, from the user. Further, the imaginary console emulates a browser environment by using a JavaScript Engine and a browser emulator. The SVG executer processes the one or more image parameters corresponding to the image to render the image on the imaginary console, and produces the image having SVG format. Further, the document generator module may convert the image having the SVG format into the raster image based on report format specified by the user. Further, the document generator module embeds the image into the offline readable format to be used by the user.

Abstract: The present disclosure relates to system(s) and method(s) for data processing and visualization. The system is configured to enable processing and visually representing a dataset specified by a user. Initially, the system accepts a rule corresponding to at least one dimension associated with the dataset, wherein the rule is associated with a lower level of abstraction. When a rollup operation is performed along the specified dimension of the dataset for generating higher level graphical representation, the system is configured to preserve the rule associated with the dataset, regardless of any mathematical or logical cancellation of values due to the rollup operation and reflects the lower level details at a higher level of abstraction.

Abstract: The present subject matter discloses system and method for generating a scalar vector graphics (SVG) image in an imaginary console. The system receives one or more image parameters, corresponding to the image, from the user. Further, the imaginary console emulates a browser environment by using a JavaScript Engine and a browser emulator. The SVG executer processes the one or more image parameters corresponding to the image to render the image on the imaginary console, and produces the image having SVG format. Further, the document generator module may convert the image having the SVG format into the raster image based on report format specified by the user. Further, the document generator module embeds the image into the offline readable format to be used by the user.

Abstract: The present disclosure relates to system(s) and method(s) for data processing and visualization. The system is configured to enable processing and visually representing a dataset specified by a user. Initially, the system accepts a rule corresponding to at least one dimension associated with the dataset, wherein the rule is associated with a lower level of abstraction. When a rollup operation is performed along the specified dimension of the dataset for generating higher level graphical representation, the system is configured to preserve the rule associated with the dataset, regardless of any mathematical or logical cancellation of values due to the rollup operation and reflects the lower level details at a higher level of abstraction.

Abstract: System and method for processing and displaying data on a user interface is disclosed. At first, data is received in a hierarchy comprising a first level data, a second level data, and a third level data. After receiving the data, first vertical bars representing the first level data is displayed. From the first vertical bars, a first vertical bar is selected to display second vertical bars representing the second level data. Upon displaying the second vertical bars, a second vertical bar from the second vertical bars is selected to display third vertical bars representing the third level data.