Abstract: A computer implemented method is disclosed for providing a platform for recognizing tabular data created by a plurality of applications and stored in different formats and/or organized by different standards. The tabular data comprises data within one or more rows of one or more input columns. The method comprises executing on one or more processors the steps of (a) determining one or more boundary sets for data from a data source, each set defining boundaries for header row data and data within a body row of an input column, (b) selecting a boundary set of the one or more boundary sets, (c) calculating a header score for a header row data of the input column of a boundary set, the score representing the extent to which the header row data resembles a header of a standard column, and (d) calculating an initial data score for data of an input column that represents the extent to which the data within body rows of the input column resembles the data of a standard column.

Abstract: A method of providing a platform is disclosed for enabling drill-down analysis of tabular data, the method executing on one or more processors the steps of (a) receiving a first request to perform a first analysis on a data set of the tabular data; and (b) generating a first link between the data set and the first analysis, the link configured to be activated by a user to cause the first analysis to be performed on the data set, wherein the first link includes a first parameter associated with first drill down criteria to cause an analysis of a plurality of analyses to be performed on one or more data items of the data set that satisfy the first drill down criteria.

Abstract: A computer implemented method is disclosed for providing a platform for recognizing tabular data created by a plurality of applications and stored in different formats and/or organized by different standards. The tabular data comprises data within one or more rows of one or more input columns. The method comprises executing on one or more processors the steps of (a) determining one or more boundary sets for data from a data source, each set defining boundaries for header row data and data within a body row of an input column, (b) selecting a boundary set of the one or more boundary sets, (c) calculating a header score for a header row data of the input column of a boundary set, the score representing the extent to which the header row data resembles a header of a standard column, and (d) calculating an initial data score for data of an input column that represents the extent to which the data within body rows of the input column resembles the data of a standard column.