Abstract: Systems, apparatus, methods, and articles of manufacture provide for evaluation of and prediction for data queries (e.g., SQL statements). In one example implementation, a controller device trains a data model for classifying input SQL queries. The controller classifies each input SQL query by testing it against the data model, without requiring actual execution of the SQL query.

Abstract: Systems, apparatus, methods, and articles of manufacture provide for evaluation of and prediction for data queries (e.g., SQL statements). In one example implementation, a controller device trains a data model for classifying input SQL queries. The controller classifies each input SQL query by testing it against the data model, without requiring actual execution of the SQL query.

Abstract: Systems, apparatus, methods, and articles of manufacture provide for evaluation of and prediction for data queries (e.g., SQL statements). In one example implementation, a controller device trains a data model for classifying input SQL queries. The controller classifies each input SQL query by testing it against the data model, without requiring actual execution of the SQL query.

Abstract: A system that receives plurality of data that includes dimensions (e.g., revenue, profit margin, level of effort, urgency or alignment to the organization's technology strategy) and criteria (e.g., business unit, product, or service) that are relevant to drive an organization's priorities. The system generates a visual display on which a representation (e.g., a sphere, circle, square, or other shape) for each of the projects is depicted. In various embodiments, the user may select one dimension to be used as an x-axis scale of the visual display and a second dimension to be used as a y-axis scale of the visual display. The system plots a representation for each project against various dimensions that are meaningful to the business organization.