Abstract: Techniques for dashboard analysis using a computation engine for pipeline performance management are disclosed. A predictive growth algorithm is selected from a plurality of predictive growth algorithms using a software dashboard graphical user interface (SD-GUI). Enterprise-specific revenue goals are developed, employing code executed as a result of using the SD-GUI. The enterprise-specific revenue goals are based on the selected predictive growth algorithm. The revenue goals are disaggregated into subgoals for portions of the enterprise. The portions correspond to enterprise input pipelines. A relationship between the enterprise-specific revenue goals and the input pipelines is quantified. Data from the input pipelines corresponding to the subgoals is evaluated employing executed code. One or more deficiencies in the data are identified with respect to accomplishing one or more of the subgoals, employing executed code.

Abstract: A method of conducting business transactions on a networked system includes receiving buyer registration information from a prospective buyer, including information describing a purchasing interest. Seller information is also received which includes information describing an offer being proffered by a prospective seller. At least some of the buyer information describing the purchasing interest and at least some of the seller information describing the offer being proffered are selectively matched. In response to a match, an executable message is transmitted to the prospective buyer with the description of the offer and which allows the prospective buyer to accept or decline the offer.