Abstract: A computer implemented method for providing optimized planning is provided. Collected data is analyzed. A plan for a first period of time is created based on the collected data. For a plurality of times during the first period, data collected during the first period is analyzed. At least one tuning indicator is generated based on analyzing the data collected during the first period that indicates whether a tuning should be performed. The plan is tuned a plurality of times during the first period, wherein the tuning uses the data collected during the first period.

Abstract: A computer implemented method for processing data is provided. At least one dataflow comprising transformational and numerical steps is defined. The flow is decomposed into distinct executable segments along process domains. The flow is decomposed into distinct executable segments along data domains. Parallel execution paths are identified across the executable segments. The executable segments are executed across a plurality of execution units.

Abstract: The present invention relates to a system and method for the system and method for modeling demand by consumer segments. In some embodiments a segment data organizer may receive transaction data. Transaction data may include transaction logs (T logs) from point of sales records from a retailer. These transaction logs, for the most part, include identification information for each transaction. The segment data organizer may also receive customer identification data which includes groupings of customers by consumer segments. The identification information within the transaction logs may be cross referenced by the customer identification data in order to generate groupings of transactions belonging to consumers in each segment. The organizer may then also aggregate the transaction logs by location, time series and product. The aggregated data may be supplied to an econometric engine capable of generating elasticity coefficients for each set of aggregate data.