Abstract: A network system determines and remediates dissimilarities between a digital map and trace data of a road network in an area as service providers and service requesters coordinate service using the road network in the area. To determine dissimilarities the network system can select and convert a digital map, aggregate received trace data into trace data accurately representing the road network in the area, generate a visualization of the dissimilarities, and remediate the dissimilarities using a variety of methods. A first remediation method includes verifying the dissimilarity using a single service provider, a second method includes verifying the dissimilarity leveraging multiple service providers, and a third method modifies the methods used to determine dissimilarities. After remediation, the network system can generate a map of the area that accurately represents the road network in the area.

Abstract: A network system determines and remediates dissimilarities between a digital map and trace data of a road network in an area as service providers and service requesters coordinate service using the road network in the area. To determine dissimilarities the network system can select and convert a digital map, aggregate received trace data into trace data accurately representing the road network in the area, generate a visualization of the dissimilarities, and remediate the dissimilarities using a variety of methods. A first remediation method includes verifying the dissimilarity using a single service provider, a second method includes verifying the dissimilarity leveraging multiple service providers, and a third method modifies the methods used to determine dissimilarities. After remediation, the network system can generate a map of the area that accurately represents the road network in the area.

Abstract: Systems, methods and computer program products that provide a framework for the creation, editing, manipulation and use of model-based, multidimensional analysis services (MAS) cubes and using substitute dimensions in such cubes are disclosed. To permit a user to obtain better and automatic access to business intelligence, a method of generating a model-based MAS cube comprises creating a data source comprising a data warehouse in the memory via the processor, creating a data source view providing a dimension, a fact and an outrigger from the created data source, and creating the MAS cube comprising at least one measure group. Using substitute dimensions comprises finding all relevant substitutions for a measure group, creating a table for the measure group in the data source view, adding a property as the primary key of the substitute dimension and generating a query containing an inner join logical link between the substitute and original dimension.

Abstract: Systems, methods and computer program products that provide a framework for the creation, editing, manipulation and use of model-based, multidimensional analysis services (MAS) cubes are disclosed. A method of generating a model-based MAS cube comprises creating a data source comprising a data warehouse in the memory via the processor, creating a data source view providing a dimension, a fact and an outrigger from the created data source, and creating the MAS cube comprising at least one measure group. A key performance indicator (KPI) may be calculated from the MAS cube as a scorecard of a display associated with the processor. A user of the model-based MAS cube may create a new cube by targeting a set of facts and adding dimensions to the facts.