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If no return value is assigned to the result keyword then the logic engine automatically sets the

value of result to zero. This causes the calculation to be skipped and the logic account is not

created.

The following function assigns the result of the logic account calculation (using the CURVAL

parameter) to the logic account (

RESULT

) if the logic account calculation returns a value greater

than zero.

If CURVAL > 0 Then

RESULT = CURVAL

Else

Result=”Skip”

End If

This is an example of conditional mapping. If the source accounts specified in the criteria column

is less than zero, then this logic account is not created because of the keyword “Skip.” This logic

account must be mapped to a target account.

Another logic account is then created to store the result of the logic account calculation if the

result is less than zero. This logic account is then be mapped to a different target account.

If CURVAL < 0 Then

RESULT = CURVAL

Else

Result=”Skip”

End If

The following function only assigns the result of the logic account calculation to the logic account

if “10” is the active FDM category key.

If strCatKey = “10” then

RESULT = CURVAL

Else

Result=”Skip”

End If

This function assigns the result of the logic account calculation to the logic account only if the

Criteria Account center is “000.”

If strCenter = “000” then

RESULT = CURVAL * 100

Else

Result=”Skip”

End If

This function uses the FDM Lookup function to add a source account to the value of the logic

account if the current FDM period is “Dec 2003.”

If strPerKey = “12/31/2003” then

RESULT = CURVAL + |810|

Else

Result=”Skip”

End If

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This function uses the FDM Lookup function to add another source account from a different

source center, FDM category, and FDM period to the value of the logic account if the active

location is “Texas.”

If strLocation = “Texas” then =

RESULT = CURVAL + |000,10,09/30/01,810|

Else

Result=”Skip”

End If

Expression Operator (Exp)—Used to execute a custom logic expression defined in the Value/

Exp field. Logic expressions are simpler than logic functions but cannot use variables or

statements. Expressions do not have built-in parameters except for

|CURVAL|

which must be

enclosed in pipes. There is no need to assign the value of an expression to the

RESULT =

constant

like in logic functions. Expressions execute faster than logic functions. The FDM Lookup

function can be used within an expression in the same manner as within a logic function. To

write a custom expression, double-click the Value/Exp field to open the expression editor.

The following are examples of custom logic expressions:

|CURVAL| + |810| + |238|

This function uses the FDM Lookup function to add two source accounts to the value of the

logic account. Notice that the CURVAL parameter can be used within expressions as in logic

functions except that it must be enclosed in pipes.

(|CURVAL| + |000,10,09/30/01,810|) * 100

This function uses the FDM Lookup function to add another source account from a different

center, FDM category, and FDM period to the value of the logic account and multiplies the entire

result by 100.

FDM Lookup—Use this function to return the value of any source account that resides in FDM.

This function can be used within a logic function or within a logic expression.

To return a value of a source account for the active logic account source Center, FDM category,

and FDM period, use the following format:

Syntax: |GLAcct|

Example: |810|

To return the value of a GL account for a different GL Center, FDM category key, and FDM

period use the following format:

Syntax: |GLDept , CategoryKey , PeriodKey , GLAcct|

Example: |000, 10, 12/31/01, 810|

You can also use a combination of formats. The following example uses the default source center

and FDM period but specifies a particular FDM category key.

|, 10 , , 810|

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Creating Comple

ogic

ccounts

Individual logic items are defined within a complex logic group. Each of the fields for complex

logic operates the same as simple logic except for the Criteria Value and Include Calc fields.

Criteria

alue

To enter criteria for each dimension, click the Criteria Value field to open a new form. The logic

item is created only from the source line items that meet the specified criteria for each dimension.

Descriptions of each complex logic criteria field follows:

imension

This field allows the selection of any enabled source dimension. Each dimension can only be

selected once.

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Criteria

This field works in tandem with the Source Dimension and Criteria Value fields to determine

from which source values the logic items are derived. Criteria types available are In, Between,

and Like. The Criteria Type determines how the criteria value is interpreted.

Criteria

alue

This fields the value that the criteria type uses to determine what members should be included

in the logic calculation for any given logic dimension.

Group B

When viewing the derived logic item in the Import screen, the Group By field allows the logic

item to override the displayed member in the appropriate dimensions field. Overriding the

displayed member allows the dimension to be grouped based on the value entered in the Group

By field. This field can be used to hard code the returned member or it can append hard-coded

values to the original members by entering a hard-coded member and an asterisk (*) in the

Group By field.

For example, placing the word “Cash” in the row with account selected for dimension, the Import

form displays “Cash” in the Account field for the logic item. If “L-*” is placed in the Group By

field, the import form displays “L-1100” where 1100 is the original account that passed the logic

criteria.

If no value is entered in the Group By field, no grouping occurs for this dimension and a separate

logic item is created for each unique dimension member.

Group

When viewing the logic item in the Import screen, the Group Level field works with the Group

By field to override the displayed member in the appropriate dimensions field. This field only

accepts numeric values.

Entering a value of “3” in the Group Level field returns the left three characters of the Group By

field. If no value is entered in the Group By field, then specifying a value of “3” in the Group

Level field returns the first three characters of the original source dimension member.

Using of the Group By and the Group Level fields, the logic items displayed on the Import form

can be grouped to the desired level. For example, if “L-*” is entered in the Group By field, the

logic item displays in the Import form as “L-1100,” where 1100 is the original account that passed

the logic criteria. If a Group Level of “2” is entered for the same row, then the Import form

displays “L-11.” If a Group Level of “1” is entered for this row, then the Import form displays

“L-1.”

Include Calc

ield

If it meets the logic item criteria, Include Calc field allows the logic item to include previously

calculated FDM values in its calculations.

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ote:

Each logic item has a sequence attached, and the logic items are calculated in this sequence. If

the second, or later, logic item has this field enabled, then any previously calculated logic items

are included ( provided they meet the logic criteria).

Comple

ogic

ample 1

The first row specifies that any accounts that begin with “11” will be included in the calculated

result for “Calc Item: CashTx.” The second row further qualifies the results by specifying that

the source record must also have the entity equal to “TX.” The third line reduces the results to

only those source records that have an ICP value between 00 and 09. The last line reduces the

results to only those source records that have a Custom 1 (UD1) of either: 00, 01 or 02. Any

imported source line that does not meet all of the listed criteria is excluded from the calculated

results.

As shown in the following table, only one new logic item is derived from multiple source records.

Using the preceding graphic example as the logic criteria, and the first grid that follows as the

source line items, you can see how FDM derives the value of a single logic item. Note the Group

By field. Each Group By field includes a hard-coded value. Therefore, for every line that passes

the specified criteria, the original imported member is replaced with the member listed in the

Group By field.

Sample Imported

alues

ccount

ntit

ICP

mount

Include

clude

1150

50,401.07

ude

1176

10,996.00

ude

1201

500.00

ude

ogic Members Created

ccount

ntit

ICP

mount

ash

50,401.07

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ccount

ntit

ICP

mount

ash

10,996.00

FDM groups and summarizes each of the rows where the members are all the same, creating the

following final results:

inal

ogic Members Results

ccount

ntit

ICP

mount

ash

61,397.07

Comple

ogic

ample 2

The first row in the preceding graphic specifies that accounts that begin with “11” are to be

included in the calculated result for “Calc Item: CashTx.” The second row further qualifies the

results by specifying that the source record must also have the entity equal to “TX.” The third

line reduces the results to only those source records that have an ICP value between 000 and

100. The last line then reduces the results to only those source records that have a Custom 1

(UD1) of either: “00,” “01.” or “02.” Any imported line that does not meet all of the listed criteria

are excluded from the calculated results.

As shown in the following tables, two logic items are derived from the source records because

of the values entered in the Group By and Group Level fields. Two of the Group By fields have

hard-coded values listed and two have an asterisk. Therefore, for every line that passes the

specified criteria, the original imported members for the Account and Entity dimensions are

replaced with the member listed in the Group By field. The other dimensions return all or part

of the original members based on the Group Level entered.

Sample Imported Values

ccount

ntit

ICP

mount

Include

clude

1150

070

50,401.07

ude

1176

040

10,996.00

ude

ccounts

ccount

ntit

ICP

mount

Include

clude

1121

045

9,050.41

ude

1201

100

500.00

ude

Logic Members Created

ccount

ntit

ICP

mount

ash

1-01

50,401.07

ash

1-02

10,996.00

ash

1-02

9,050.41

FDM groups and summarizes each of the rows where the members are all the same, creating the

following results:

Final Logic Members Results

ccount

ntit

ICP

mount

ash

1-01

50,401.07

ash

1-02

20,046.41

reat

roups

ccounts

Import Formats

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iew

Each data load location must be assigned an import group that it uses when importing data files.

Import groups instruct FDM how to interpret data files and transform them into data that can

be loaded into the FDM data structure.

The Import Formats screen is arranged in a master-and-detail format. The top grid shows import

groups, and the bottom grid is where the fields for a group are defined. After the import format

is created, it is important that the source file layout be unchanged. If the format of the source

file changes, you must update the import format.

Creating

ew Import Groups

To create import groups:

ect Metadata >

mport

ormats.

The Import Formats screen is displayed,

Cli

dd.

This adds an additional line in the upper table of the Import Formats screen.

Spec

ify

the name and descr

on o

the

mport group.

rom the

Fil

d, se

ect

Fix

ed or

ted.

the

fil

e t

s de

ted,

n the de

ter co

umn, se

ect the t

pe o

ter that

s used

or the

fil

Cli

pdate

ote:

By selecting Script or Adapter in the File Type column, you can also build an Integration Script

or use a target system adapter to import the ledger data directly from an ODBC-compliant data

source rather than importing a text file.

efining

ields for Import Groups

Each row in the lower grid of the Import Formats screen represents one import field. You can

assign multiple source fields to the same FDM field name, and FDM automatically concatenates

the string values for you during the file load process. If you want to skip records that contain

certain values, select “Skip” and enter a text value in the Expression field.

efining

ields for

ed Import Groups

Field Name—The field to which to import.

Start—The start location of the field to import.

Length—The length of the field.

Expression—Specify an expression. This value overwrites whatever is in that field location

unless the field is defined as a “Skip” field.

efining

ields for a

elimited Import Group

Field Name—The field name in which to import.

Field No—The field number that you want to import.

# of Fields—The total number of fields for a row in the text file.

Expression—An expression in this field overwrites whatever is in that field location unless

the field is defined as “Skip.”

rag and

rop

ield

efinition

Instead of counting the start and length locations of your fields, you can create your field

definition by using the Drag and Drop feature from the Import Format Builder.

To use Drag and Drop to build an import format:

n the

mport

ormat gr

d, se

ect the

d to ed

Cli

ck the Bu

d button

ocated abo

e the

er tab

The Import Format Builder screen is displayed.

rom the

mport

ormat Bu

der screen, c

ck Se

ect

Fil

ocate and se

ect the

fil

e to

mport.

mport

ormats

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