Hello,
I track operational metrics in Excel 2007, and for ease of forecasting, this is laid out with descriptive columns then time frame columns. 72 columns across in total. ~5,300 rows. Sample below.
Each data row has 6 columns that identify the:
A Metric (ie Received Units)
B Ledger (Actual/Forecast)
C Acct # (Metric Acct #)
D Dept# (Physical Location of activity)
E Partner # (client ID #)
F Line Description (client Name)
From here the columns are either months or weeks of the year (we track by fiscal week Sat through Sun) on a 4-4-5 calendar basis.
G Jan
H Feb
...
R Dec
S Total
U Week1
V Week2
...
BT Week 52
Functionally, this works great for forecasting, but stinks for reporting.
I can't figure out how to generate a vertical list with the first 6 columns (A through F above), column G would be the date/week number (G through BT above) and column H would be the data point.
FROM:
<tbody>
</tbody>
TO:
<tbody>
</tbody>
Again, the data set is 77 total columns and about 5,300 rows. This is replicated across 20 or so separate models.
This data will need to be 'flipped'/'converted' frequently as forecasts and actual data changes.
Help!
Thanks for your time.
I track operational metrics in Excel 2007, and for ease of forecasting, this is laid out with descriptive columns then time frame columns. 72 columns across in total. ~5,300 rows. Sample below.
Each data row has 6 columns that identify the:
A Metric (ie Received Units)
B Ledger (Actual/Forecast)
C Acct # (Metric Acct #)
D Dept# (Physical Location of activity)
E Partner # (client ID #)
F Line Description (client Name)
From here the columns are either months or weeks of the year (we track by fiscal week Sat through Sun) on a 4-4-5 calendar basis.
G Jan
H Feb
...
R Dec
S Total
U Week1
V Week2
...
BT Week 52
Functionally, this works great for forecasting, but stinks for reporting.
I can't figure out how to generate a vertical list with the first 6 columns (A through F above), column G would be the date/week number (G through BT above) and column H would be the data point.
FROM:
Account Description | Ledger | Account # | Dept # | Partner # | Line Description | Jan | Feb | Mar | Apr | ....... | Week 52 |
Received Units | ACTUALS | 99002001 | 009999 | PT.000001 | CL001 | 140,802 | 52,807 | 53,756 | 29,335 | ....... | 7,960 |
<tbody>
</tbody>
TO:
Account Description | Ledger | Account # | Dept # | Partner # | Line Description | Timeframe | Data |
Received Units | ACTUALS | 99002001 | 009999 | PT.000001 | CL001 | Jan | 140,802 |
Received Units | ACTUALS | 99002001 | 009999 | PT.000001 | CL001 | Feb | 52,807 |
Received Units | ACTUALS | 99002001 | 009999 | PT.000001 | CL001 | Mar | 53,756 |
Received Units | ACTUALS | 99002001 | 009999 | PT.000001 | CL001 | Apr | 29,335 |
....... | |||||||
Received Units | ACTUALS | 99002001 | 009999 | PT.000001 | CL001 | Week 52 | 7,960 |
<tbody>
</tbody>
Again, the data set is 77 total columns and about 5,300 rows. This is replicated across 20 or so separate models.
This data will need to be 'flipped'/'converted' frequently as forecasts and actual data changes.
Help!
Thanks for your time.