Screens 1 & 2 (of 6) |
Next Screen » |
|
The following screens show a top-down analysis of long-distance telecomms spending on a real dataset. BIQ's sample dataset (shipped with the product) contains three years of disguised A/P data from a large regional commercial bank, comprising some 1.4M transactions and $1.7B in spending. This is actual data, although dimension labels have been changed and the dataset time base has been altered. |
|
1. |
First, we filter the dataset by telecomms usage. |
![]() |
|
2. |
Next, we multi-filter the dataset by the long distance vendors. Note that all dimensions are visible at all times, and every dimension is updated on every drill (the Commodity dimension has been popped out and slid on top for reference). |
![]() |
|




