Data analysis method and system
AssigneeOracle International Corporation
InventorsSteven Corbett, Christopher Evans
Life of this patent
Estimating the term…
Abstract
A method for automatically analysing a data set is disclosed. The data set comprises a plurality of data items together representing an aspect of the performance of an entity. Each item has a descriptor value within each of one or more categories of description data and associated performance data values. The method comprises selecting each unique descriptor value in turn and for each unique descriptor value: a) selecting every data item having said descriptor value; b) calculating a key performance indicator (KPI) value for the data items selected in step (a); and identifying any of the unique descriptor values for which the KPI value fails to meet a predetermined performance criterion.
Claims22
A method for automatically analysing a data set, the data set comprising a plurality of data items together representing an aspect of the performance of an entity, each item having a descriptor value within each of one or more categories of description data and associated performance data values, the method comprising selecting each unique descriptor value in turn and for each unique descriptor value:
- a) selecting every data item having said descriptor value;
- b) calculating a key performance indicator (KPI) value for the data items selected in step (a);
- and identifying any of the unique descriptor values for which the KPI value fails to meet a predetermined performance criterion.
A system for automatically analysing a data set, the system comprising a processor connected to a store, wherein the processor is adapted to retrieve a set of data from the store, the data set comprising a plurality of data items together representing an aspect of the performance of an entity, each item having a descriptor value within each of one or more categories of description data and associated performance data values, and to select each unique descriptor value in turn and for each unique descriptor value:
- a) to select every data item with said descriptor value;
- b) to calculate a key performance indicator (KPI) value for the data items selected in step (a);
- and identify any of the unique descriptor values for which the KPI value fails to meet a predetermined performance criterion.
Dependencies are inferred from the claim text.