Row and Column Intersections

Spreadsheets

store data in

intersections

named using

row numbers

and column

letters

Essbase Uses Business Descriptions

Essbase

names

intersection

using

business

descriptions

Income Statement

ActualJan Feb Mar ... Dec

Sales

Cost Of Sales

Gross Profit

SG&A

Corp. Overhead

Profit Bef. Tax

Tax

Net Income

Two Dimensional Model

100 Dec -> “Net Income”

Three Dimensional Model

Income Statement

Variance

Jan Feb Mar ... Dec

Sales

Cost Of Sales

Gross Profit

SG&A

Corp. Overhead

Profit Bef. Tax

Tax

Net Income

Income Statement

Budget

Jan Feb Mar ... Dec

Sales

Cost Of Sales

Gross Profit

SG&A

Corp. Overhead

Profit Bef. Tax

Tax

Net Income

Income Statement

Actual

Jan Feb Mar ... Dec

Sales

Cost Of Sales

Gross Profit

SG&A

Corp. Overhead

Profit Bef. Tax

Tax

Net Income

25

100

75

Dec -> “Net Income”Actual -> Dec -> “Net Income”100

Five Dimensional Model

“All Region”->”All Products”->Actual->Dec->”Net Income”“All Region”->”All Products”->Actual->Dec->”Net Income”

Three Ways to Specify a Formula

Hierarchy

Member formula

Margin = Sales – COGS;Calc Script

Global Calcs

Sales

Actual->Sales

Jan->Actual->Sales

Underspecification

In a three dimensional database

Jan->NY->Margin

will calculate one cell

Jan->NY-> Margin = Jan-NY-> Sales - Jan->NY-COGS;

• Drop the specification

for the month of

January the formula will

calculate all months.

Underspecification

NY-> Margin = NY-> Sales - NY-COGS;

• Drop the specification for the

state of NY, the formula will

calculate all the months and all

the states

Underspecification

Margin = Sales - COGS

Underspecification

In a three dimensional database

Jan->NY->Margin will calculate one cell

Jan->NY-> Margin = Jan->NY-> Sales

-Jan->NY-COGS;

Fewer co-ordinates increases scope

NY->Margin= NY->Sales

- NY->COGS;

Fewer co-ordinates increases scope

Margin= Sales

- COGS;

Member Coordinates & Implied References

� Every cell reference requires a complete set of co-ordinates (1 for each dim)

� If you omit any co-ordinate Essbase implicitly matches the cell being calculated

Jan->Actual->Margin = Jan->Actual->Sales - Jan->Actual->COGS

Feb->Actual->Margin = Feb->Actual->Sales - Feb->Actual->COGS

Margin = Sales- COGS

Cross-Dimensional Operator

� “->”creates an absolute reference

Vt->Colas->Share = Vt->Colas->Sales % All Markets ->Colas-> Sales

Colas->Share = Colas->Sales % All Markets ->Colas-> Sales

Share = Sales % All Markets -> Sales

Order of Calculation: Dimensions

The Dense Calc

1. Accounts Dimension (requires Accounts Dimension property)

2. Time Dimension (requires Time Dimension property)

3. Remaining Dense Dimension (in Outline Order)

4. Two-Pass Calcs (requires Default Calc containing CALC ALL; )

The Sparse Calc

5. Remaining Sparse Dimensions (in Outline Order)

Order of Calculation: Hierarchy

Calc Order: 1. AccountsJan Feb Mar Qtr1

Measures L - - - -

Profit ~ - - - -

Margin + - - - -

Sales + 678 645 675 -

COGS - 271 258 270 -

Total Expenses - - - - -

Marketing + 94 90 94 -

Payroll + 51 51 51 -

Misc + 0 1 1 -

Ratios L - - - -

Margin % F - - - -

Profit % F - - - -

Load Data

Calc Order: 1. AccountsJan Feb Mar Qtr1

Measures L - - - -

Profit ~ - - - -

Margin + 407 387 405 - 3 Calc Margin for all dense dims

Sales + 678 645 675 - 1 Read Sales Data

COGS - 271 258 270 - 2 Read COGS Data

Total Expenses - - - - -

Marketing + 94 90 94 -

Payroll + 51 51 51 -

Misc + 0 1 1 -

Ratios L - - - -

Margin % F - - - -

Profit % F - - - -

Margin:Consolidate Sales (+) and COGS (-)

Calc Order: 1. Accounts

Jan Feb Mar Qtr1

Measures L - - - -

Profit ~ - - - -

Margin + 407 387 405 - 3 Calc Margin for all dense dims

Sales + 678 645 675 - 1 Read Sales Data

COGS - 271 258 270 - 2 Read COGS Data

Total Expenses - 145 142 146 - 7 Calc Total Expenses for all dense dims

Marketing + 94 90 94 - 4 Read Marketing data

Payroll + 51 51 51 - 5 Read Payroll data

Misc + 0 1 1 - 6 Read Misc. data

Ratios L - - - -

Margin % F - - - -

Profit % F - - - -

Total expenses: Consolidate Marketing (+), Payroll (+) and Misc. (+).

Calc Order: 1. Accounts

Jan Feb Mar Qtr1

Measures L 262 245 259 - 8 Calc Measures for all dense dims

Profit ~ 262 245 259 - 8 Calc Profit for all dense dims

Margin + 407 387 405 - 3 Calc Margin for all dense dims

Sales + 678 645 675 - 1 Read Sales Data

COGS - 271 258 270 - 2 Read COGS Data

Total Expenses - 145 142 146 - 7 Calc Total Expenses for all dense dims

Marketing + 94 90 94 - 4 Read Marketing data

Payroll + 51 51 51 - 5 Read Payroll data

Misc + 0 1 1 - 6 Read Misc. data

Ratios L - - - -

Margin % F - - - -

Profit % F - - - -

Profit: Consolidate Margin (+) and Total Expenses (-)

Calc Order: 1. Accounts

Jan Feb Mar Qtr1

Measures L 262 245 259 - 8 Calc Measures for all dense dims

Profit ~ 262 245 259 - 8 Calc Profit for all dense dims

Margin + 407 387 405 - 3 Calc Margin for all dense dims

Sales + 678 645 675 - 1 Read Sales Data

COGS - 271 258 270 - 2 Read COGS Data

Total Expenses - 145 142 146 - 7 Calc Total Expenses for all dense dims

Marketing + 94 90 94 - 4 Read Marketing data

Payroll + 51 51 51 - 5 Read Payroll data

Misc + 0 1 1 - 6 Read Misc. data

Ratios L 60.0 60.0 60.0 - 9 Calc Margin % for all dense dims

Margin % F 60.0 60.0 60.0 - 9 Calc Ratios for all dense dims

Profit % F 38.6 38.0 38.4 - 10 Calc Profit % for all dense dims

Formulas: Margin % Sales, Profit % Sales

Calc Order: 2. Time

Two-Pass Calcs

� Two-Pass calcs are recalculated to correct for errors created by the default calc order

� Tag members Two-Pass calc in the outline

� Two-Pass calc works on the accounts dim and on dynamic calcs

� If you use a script (other than the default) you must use the CALC TWOPASS; command

Calculation Order Affects Results

Essbase Default Calculation Order

Empty Database

Load Data

Loaded Level 0 Data

The Dense Calc: Accounts

Measures Calculated for NY->Apples Block

The Dense Calc: Periods

Time Dimension Calculated for NY->Apples Block

The Dense Calc: Level 0 Blocks

Dense Calc Completed on Level 0 Blocks

The Sparse Calc: AllMkts

Aggregate AllMkts

The Sparse Calc: AllPdt

Aggregate AllPdt

CALC TWOPASS;

Twopass Calc Completed

Dynamic Calcs

� Calculated on retrieval or as precedent

� Dynamic Calc Non-Store

� Dynamic Calc and Store

� Set in Outline Editor

Advantages of Dynamic Calcs

Without With

Measures 100 60

Periods 17 12

Scenario 4 2

Cells per block 6,800 1,440

Bytes per cell 8 8

Bytes per Block 54,400 11,520

Ratio 21%

Bytes per Block

-

10,000

20,000

30,000

40,000

50,000

60,000

Without With

Dynamic Calc and Store

Empty Database

Loaded Level 0 and Retrieved

Retrieved After New Data is Loaded

Dynamic Calc Rules of Thumb

� Make all dense calcs Dynamic (Non-Store) with 2 exceptions:

� Any member with input data

� If the order makes the calc wrong

� Don’t use Dynamic Calc and Store

� Need Clearblock dynamic to update

Basic Calc Script Commands

CALC ALL; Calculates the database

based on the outline.

CALC DIM (single or

multiple dimensions

listed);

Calculates a single

dimension or multiple

dimensions. If all

dimensions are listed it is

the same as a CALC

ALL; command.

CALC TWOPASS; Forces the calculation of

any member tagged with

the Twopass tag in the

Accounts dimension.

IF & FIX: Controlling Scope in a Calc Script

� You can focus the calc on a subset using FIX statements in a script

� You can test conditions using IF statements

Conditional Logic: IF statements

IF (condition)

commands;

ELSEIF (condition)

commands;

ELSE

commands;

ENDIF;

Conditional Logic: IF statements

� Outline or script

� Script requires calc member block

� Loads and tests each specified member

� Use on dense dimensions

Controlling Scope with FIX

FIX (mbrList)

commands

ENDFIX

� FIX statement cannot calc the “fixed” dim

� Script only - not outline

� Loads only those blocks specified

� Passes thru database once per FIX Statement (un-nested)

� Use multiple fixes on sparse dimensions

FIX(NY)CALC DIM (Measures,Year);

ENDFIX

FIX(NY,NJ)CALC DIM (Measures,Year);

ENDFIX

FIX(NY:CT)CALC DIM (Measures,Year);

ENDFIX

FIX(NY,Apples)CALC DIM (Measures,Year);

ENDFIX

FIX(@CHILDREN(AllMkts))CALC DIM (Measures,Year);

ENDFIX

Hierarchical References

� Relationship Functions obtain Values

� Member Set Functions return a listing of member names

� Booleans perform a test (true/false) based on member names

Relative and Absolute References

Marketing Technologies Group

Fixed (Absolute) References

The cross-dimensional operator (->)creates an absolute reference

Marketing Technologies Group

NY->Colas->Share = NY->Colas->Sales / “Total Markets” ->Colas-> Sales

Colas->Share = Colas->Sales / “Total Markets” ->Colas-> Sales

Share = Sales / “Total Markets” -> Sales

Specifying a co-ordinates overrides the implied match

Implied Relative References

Jan->Margin = Jan->Sales - Jan->COGS

Feb->Margin = Feb->Sales - Feb->COGS

Margin = Sales - COGS

Co-ordinates missing from right side are

“matched” to the left side POV

“Crossing” Dimensions

Crossing 1 dimension

Crossing 2 dimensions

Relationship Functions obtain Values

PARENTVALShare = Sales % @PARENTVAL(“AllMkts”,Sales);

ANCESTVALShare = Sales % @ANCESTVAL (“AllMkts”, 2,Sales);

> 0 = Generation

< 0 = Level

0 = Level

Marketing Technologies Group

@ParentVal( )

@PARENTVAL(dimName [, mbrName])

Share = Sales % @PARENTVAL(“AllMkts” ,Sales );

@AncestVal( )

@ANCESTVAL (dimName, genLevNum [, mbrName])

Share = Sales % @ANCESTVAL (“AllMkts”, 2 , Sales );

genLevNum

> 0 = Generation

< 0 = Level

0 = Level

@MDParentVal()

@MDPARENTVAL (numDim, dimName1, . ... . dimNameX [,mbrName])

Share= Sales/@MDPARENTVAL ( 2 , “All Regions”, “All Products”,Sales ) ;

@MDAncestVal()

@MDANCESTVAL (dimCount, dimName1, genLevNum1. . dimNameX, genLevNumX [,mbrName])

Share=Sales/@MDANCESTVAL ( 2 ,”All Markets”, 2 ,”All Products”, 2 , Sales );

Comparing Relationship Functions

@MDParentVal( dimCount, dimName1.. . dimNameX, mbrName)

@AncestVal ( dimName, genLevNum1, mbrName)

@ParentVal( dimName , mbrName)

@MDAncestVal( dimCount, dimName1, genLevNum1. . dimNameX, genLevNumX ,mbrName)

Hierarchical References Summary Chart

(All Destinations refer to the same value) (All Destinations refer to different values, same relationship)

Sales->Markets

Sales->Markets->Products

@PARENTVAL(dimName, Xmbr)

e.g @PARENTVAL(Markets, Sales)

@ANCESTVAL(dimName,genLevNum,[mbrName])

e.g. @ANCESTVAL(Markets, 2, Sales)

@MDPARENTVAL(numDim,dimName1,…dimNameX,[

Xmbr])

e.g. @MDPARENTVAL(2, Markets, Products,

Sales)

@MDANCESTVAL(numDim,DimName1,GenLevNum1,

…DimNameX,GenLevNumX [,Xmbr])

e.g. @MDANCESTVAL(2, Markets, 2, Products,

2, Sales)

Cross One-Dimension

Cross Multiple Dimensions

ABSOLUTE RELATIVE

Marketing Technologies Group

Cross Dimensional Operations

Allocation Example

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