AGGREGATION OF RELATED DATA ITEMS

1 . A method for aggregating related expense data items comprising:

receiving, at a processing circuit, a first expense data item and a second expense data item, wherein the first expense data item is associated with a first source and includes a first set of one or more data elements, wherein the second expense data item is associated with a second source and includes a second set of one or more data elements;

determining, by the processing circuit, that the first expense data item and the second expense data item are related, wherein the determination is based, at least in part, on determining that one or more data elements of the first set of data elements of the first expense data item match one or more data elements of the second set of data elements of the second expense data item;

determining, by the processing circuit, that the first source associated with the first expense data item is different from the second source associated with the second expense data item; and

associating the first expense data item and the second expense data item with an aggregate expense data item.

2 . The method of claim 1 further comprising:

generating an aggregate data element based, at least in part, on one or more data elements of the first set of data elements or the second set of data elements.

3 . The method of claim 2 , wherein the first set of data elements comprises at least one data element selected from the group consisting of a date data element, a time data element, an amount data element, a type data element, a vendor ID data element, a vendor type data element, a transaction ID data element, a location data element, an expense itemization data element, and a supplier information data element.

4 . The method of claim 3 , wherein the second set of data elements comprises at least one data element selected from the group consisting of a date data element, a time data element, an amount data element, a type data element, a vendor ID data element, a vendor type data element, a transaction ID data element, a location data element, an expense itemization data element, and a supplier information data element.

5 . The method of claim 4 , wherein the first set of data elements comprises at least two data elements and the second set of data elements comprises at least two data elements.

6 . The method of claim 5 , wherein the step of determining that the first expense data item and the second expense data item are related is based, at least in part, on determining that two data elements of the first set of data elements of the first expense data item match two data elements of the second set of data elements of the second expense data item.

7 . The method of claim 6 , wherein the two data elements of the first set of data elements of the first expense data item comprise a type data element and a date data element.

8 . The method of claim 6 , wherein the two data elements of the first set of data elements of the first expense data item comprise a date data element and an amount data element.

9 . The method of claim 6 , wherein the two data elements of the first set of data elements of the first expense data item comprise a date data element and a location data element.

10 . The method of claim 6 , wherein the two data elements of the first set of data elements of the first expense data item comprise an amount data element and a location data element.

11 . The method of claim 4 , wherein the first set of data elements comprises at least three data elements and the second set of data elements comprises at least three data elements, wherein the step of determining that the first expense data item and the second expense data item are related is based, at least in part, on determining that three data elements of the first set of data elements of the first expense data item match three data elements of the second set of data elements of the second expense data item.

12 . The method of claim 2 further comprising:

generating an aggregate expense data item.

13 . A computer implemented method comprising:

receiving, at a processing circuit, a first data item and a second data item, wherein the first data item is associated with a first source and includes a first set of one or more data elements, wherein the second data item is associated with a second source and includes a second set of one or more data elements;

determining, by the processing circuit, that the first data item and the second data item are related, wherein the determination is based, at least in part, on determining that one or more data elements of the first set of data elements of the first data item match one or more data elements of the second set of data elements of the second data item;

determining, by the processing circuit, that the first source associated with the first data item is different from the second source associated with the second data item; and

displaying a notification indicating mergeable data items.

14 . The computer implemented method of claim 13 further comprising:

displaying a user interface comprising a first display element associated with the first data item and a second display element associated with the second data item.

15 . The computer implemented method of claim 14 , wherein the user interface further comprises a first selection feature associated with the first data item and a second selection feature associated with the second data item.

16 . The computer implemented method of claim 15 further comprising:

grouping the first display element with the second display element.

17 . The computer implemented method of claim 16 further comprising:

associating the first expense data item and the second expense data item with an aggregate expense data item; and

displaying a third display element associated with the aggregate expense data item.

18 . The computer implemented method of claim 13 , wherein the first data item is a first expense data item and the second data item is a second expense data item.

19 . A tangible computer-readable storage medium having instructions to aggregate expense data items, the instructions comprising instructions to:

receive a first expense data item and a second expense data item, wherein the first expense data item is associated with a first source and includes a first set of one or more data elements, wherein the second expense data item is associated with a second source and includes a second set of one or more data elements;

determine that the first expense data item and the second expense data item are related, wherein the determination is based, at least in part, on determining that one or more data elements of the first set of data elements of the first expense data item match one or more data elements of the second set of data elements of the second expense data item;

determine that the first source associated with the first expense data item is different from the second source associated with the second expense data item;

generate an aggregate expense data item;

associate the first expense data item and the second expense data item with the aggregate expense data item; and

generate an aggregate data element based, at least in part, on one or more data elements of the first set of data elements or the second set of data elements.

20 . The tangible computer-readable storage medium of claim 7 , wherein the first set of data elements comprises at least one data element selected from the group consisting of a date data element, a time data element, an amount data element, a type data element, a vendor ID data element, a vendor type data element, a transaction ID data element, a location data element, an expense itemization data element, and a supplier information data element.