Clone skills,inc. sap bpc on hana data modeling v9 11282013

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SAP BPC on HANA Knowledgebase
(A SAP EPM/BPC & HANA Community Service)

SAP HANA Data Modelling
For Integrated Financial Planning (IFP)

Implementation Guide

Author:
Yogendra Vaithilingam
SAP BPC Consultant
SAP EPM Community Member
yogendra.v@gmail.com

SAP EPM/HANA Community Service
11/28/2013

Chief Architect:
Jothi Periasamy
SAP HANA/EPM/BI/EIM Community Leader
SAP BPC/BOBJ/BI/MDM Domain Champion
joesaran@gmail.com, (916)-296-0228 - Cell

CloneSkills, Inc., http://www.CloneSkills.com , Info@CloneSkills.com , 1.800.836.8959, Page - 1

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Author:
SAP BPC Consultant

11/28/2013

Chief Architect:
Jothi Periasamy


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Table of Contents
1. Executive Business Summary ................................................................................ 4
1.1. SAP HANA Data Model Building Blocks .......................................................... 5
1.2. Sample HANA Data Model .............................................................................. 6
2. Key Assumptions.................................................................................................... 8
3. Login to SAP HANA Studio .................................................................................... 9
4. Creating HANA Tables ......................................................................................... 11
4.1. Employee Table ............................................................................................ 11
4.2. Department Table .......................................................................................... 23
4.3. WageType Table ........................................................................................... 25
4.4 Payroll Table .................................................................................................. 27
4.5. Employee Audit Table ................................................................................... 34
5. Information Modeling - Creating Attribute View .................................................... 35
5.1. Attribute View for Employee .......................................................................... 35
5.2. Attribute View for Department ....................................................................... 39
5.3. Attribute View for Wage Type ........................................................................ 41
6. Information Modeling - Creating Analytic View ..................................................... 42
7. Information Modeling - Creating Calculation View ................................................ 47
8. Information Modeling - Decision Table ................................................................. 53
9. Input Parameters .................................................................................................. 61
10. Currency Conversion .......................................................................................... 70
11. Hierarchy ............................................................................................................ 75
12. Functions ............................................................................................................ 88
13. Procedure ........................................................................................................... 90
14. Database Triggers .............................................................................................. 94

Author:
SAP BPC Consultant

11/28/2013

Chief Architect:
Jothi Periasamy


______________________________________________________________
1. Executive Business Summary
The purpose of this article is to provide adequate instruction to implement any
complex SAP HANA data model. Users will learn various building blocks that are
required to implement any SAP HANA data model.
SAP HANA data model is not just creating an attribute view, analytical view and
calculation view, and also it is not a technical implementation, it is an “Art”. SAP
HANA data model is the foundation for any SAP HANA enabled business
transformation initiatives.
SAP HANA data model and data architecture should be driven from business
process and the model should fully leverage SAP HANA’s in memory computing
power and also the build in out of the box SAP HANA functionality such as stored
procedures, functions, database triggers, hierarchies, calculated measures,
restricted measures, calculated attributes, dynamic currency conversions, input
parameters, and much more. Consider all of these key capabilities of SAP HANA
while transforming business problems into a SAP HANA enabled solutions.
In this document we are explaining the objective of each data model building block,
and also its implementation steps. Users should be able to follow this guide and
implement any SAP HANA data model.
SAP HANA enabled EPM and BI solutions
SAP BPC integrated financial planning with the power of in-memory
computing
Predictive analytics
Financial predictive
Healthcare predictive
Advanced analytics
Smart Grid
etc

Author:
SAP BPC Consultant

11/28/2013

Chief Architect:
Jothi Periasamy


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1.1. SAP HANA Data Model Key Building Blocks
Attribute view
Analytical view
Calculation view through scripts
Stored procedure
Functions
Database triggers
Variables
Input parameters
Hierarchy
Decision tables
Dynamic currency conversion
Data Import
Key Consideration for SAP BPC on HANA Data Model
We are presenting this consideration after our deep research on BPC on HANA and also our
extensive SAP BPC industry implementation experience. What we have seen on a BPC on
HANA implementation, most of the implementation resources are not able to realize the
power and role of SAP HANA on a planning, forecasting and consolidation solution design

For faster data processing and quick response, Consider SAP HANA inmemory computing power for complex calculations instead of using SAP BPC
script logic
Leverage SAP HANA information modeling capabilities such as attribute view,
analytical view and calculation view
Use SAP HANA data management capabilities such as SLT (SAP landscape
transformation) and SAP BusinessObjects Data Services instead of SAP BPC
data manager

Author:
SAP BPC Consultant

11/28/2013

Chief Architect:
Jothi Periasamy


______________________________________________________________
1.2. Sample HANA Data Model
Below diagram explains the approach that we took to implement an integrated
financial planning data model for SAP BPC on SAP HANA

Figure -1: SAP HANA Data model implementation approach

Author:
SAP BPC Consultant

11/28/2013

Chief Architect:
Jothi Periasamy


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Following diagram explains our SAP BPC on HANA reference data architecture and
also the information below between the SAP BPC business users and SAP HANA
model.
Note: There are many different data architectural options to choose, this is just one
of the proposed option.

Figure -2 - SAP BPC on HANA data model for integrated financial planning
Author:
SAP BPC Consultant

11/28/2013

Chief Architect:
Jothi Periasamy


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2. Key Assumptions
Before we go further, it has been assumed that the user has basic knowledge about
SAP HANA and also an understanding on database concepts and the fundamentals
around entity relationship data model, multi dimensional data model, tables and
SQL.

SAP HANA Defined:

Author:
SAP BPC Consultant

11/28/2013

Chief Architect:
Jothi Periasamy


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SAP HANA Data Model Implementation Steps

Note:
The following section explains various steps that we will be performing while
designing and implementing SAP HANA data model.
Contact us for SAP BPC on HANA integrated financial planning data model. In this
article we are referring our integrated financial planning data model as a reference
data model.

3. Login to SAP HANA Studio
3.1. Launch SAP HANA studio

Author:
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Chief Architect:
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3.2. Expand System -> Catalog ->Schema -> Tables

Author:
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Chief Architect:
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4. Creating Tables

Note:
The following section explains various steps that we will be performed to create the
SAP HANA base tables which is required for an optimal information modeling
There are other options to create (or replicate) tables in SAP HANA, here is just one
of them and also we are using some sample tables and columns
Please feel free to contact us for any further support and details

The structure of a database, its schema, is defined by tables and the relationships
among them, described by SQL. SAP HANA supports two types of tables:
• Dimension tables are typically master data
• Fact tables are lists of business transactions
In the below example, we have created various tables like Employee table,
Department table, Wage Type table, Payroll table and Employee Audit table which
are used later in this document to explain different features of SAP HANA data
model.
Implementation:
4.1. Employee Table
4.1.1 Create a table (DIM_EMPLOYEE) with the required fields, data type and
length. Assign the keys
Right-click on your schema and select ‘Create table’

Author:
SAP BPC Consultant

11/28/2013

Chief Architect:
Jothi Periasamy


______________________________________________________________

4.1.2. To import data into the table, go to File -> Import

Author:
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Chief Architect:
Jothi Periasamy


______________________________________________________________

4.1.3. Expand ‘SAP HANA Content’. Select ‘Data from Local File’ and click ‘Next’
Author:
SAP BPC Consultant

11/28/2013

Chief Architect:
Jothi Periasamy


______________________________________________________________

4.1.4. Select the target system for the data import and select ‘Next’
Author:
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Chief Architect:
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______________________________________________________________

Author:
SAP BPC Consultant

11/28/2013

Chief Architect:
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______________________________________________________________
4.1.5. Select ‘Browse’ button to select the csv file to upload the same

Author:
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11/28/2013

Chief Architect:
Jothi Periasamy


______________________________________________________________
4.1.6. Select the csv file and click on ‘Open’ button

Author:
SAP BPC Consultant

11/28/2013

Chief Architect:
Jothi Periasamy


______________________________________________________________
4.1.7. Select the ‘Select Table’ button from ‘File Import Wizard’ window to select the
existing table name under which we are going to upload the data and click ‘Ok’

Author:
SAP BPC Consultant

11/28/2013

Chief Architect:
Jothi Periasamy


______________________________________________________________
4.1.8. The selected csv file name will be displayed in Select File text box. Select the
‘Header row exists’ checkbox if the csv file has the header row. The selected table
name will be displayed in the ‘Existing’ text box. Select ‘Next’ to proceed.

Author:
SAP BPC Consultant

11/28/2013

Chief Architect:
Jothi Periasamy


______________________________________________________________
4.1.9. Verify the mapping of the fields from proposed table structure to the target
table and the primary key check box should be selected. Select Next to proceed to
the next step

Author:
SAP BPC Consultant

11/28/2013

Chief Architect:
Jothi Periasamy


______________________________________________________________
4.1.10. Verify the data and click ‘Finish’

4.1.11. Right-click on the table and select ‘Open Data Preview’

Author:
SAP BPC Consultant

11/28/2013

Chief Architect:
Jothi Periasamy


______________________________________________________________
4.1.12. Verify the imported data gets displayed in the existing table

Author:
SAP BPC Consultant

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Chief Architect:
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______________________________________________________________
4.2. Department Table
4.2.1. Create a table (DEPARTMENT) with the required fields, data type and length.
Assign the keys

4.2.2. Right-click on the table and select ‘Insert Statement’

Author:
SAP BPC Consultant

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Chief Architect:
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4.2.3. Type the ‘insert’ queries and press ‘Execute F(8)’


Author:
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Chief Architect:
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______________________________________________________________
4.3. WageType Table
4.3.1. Create a table (WAGETYPE) with the required fields, data type and length.
Assign the keys

4.3.2. Insert values into the table using ‘Insert Statement’

Author:
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Chief Architect:
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______________________________________________________________
4.3.3. Enter the insert statements and press ‘Execute F(8)’


Author:
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11/28/2013

Chief Architect:
Jothi Periasamy


______________________________________________________________
4.4 Payroll Table
4.4.1. To import table from csv file, navigate to File -> Import

Author:
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11/28/2013

Chief Architect:
Jothi Periasamy


______________________________________________________________
4.4.2. From ‘Import’ window select ‘Data From Local File’ option under SAP HANA
Content folder and click on ‘Next’ button

Author:
SAP BPC Consultant

11/28/2013

Chief Architect:
Jothi Periasamy


______________________________________________________________
4.4.3. Select the target system where to import the data to and select ‘Next’

Author:
SAP BPC Consultant

11/28/2013

Chief Architect:
Jothi Periasamy


______________________________________________________________
4.4.4. Select ‘Browse’ button to select the csv file to upload the same, check the
‘Header row exists’ checkbox. Select the Schema name and enter the table name
‘F_PAYROLL’ and click ‘Next’

Author:
SAP BPC Consultant

11/28/2013

Chief Architect:
Jothi Periasamy


______________________________________________________________
4.4.5. Verify the mapping, select the primary key and click ‘Next’

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Chief Architect:
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4.4.6. Verify the data and click ‘Finish’

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Chief Architect:
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______________________________________________________________

Author:
SAP BPC Consultant

11/28/2013

Chief Architect:
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______________________________________________________________
4.5. Employee Audit Table
4.5.1. Similarly, create one more table (NEW_EMP_AUDIT) with the required fields,
data type and length. Assign the keys

Author:
SAP BPC Consultant

11/28/2013

Chief Architect:
Jothi Periasamy


______________________________________________________________
5. Creating Attribute View
Attribute Views are the dimensions of SAP HANA analytics and these are created to
serve as a reusable type of view. We can create Attribute Views to represent items
such as customers/employees, products, departments, dates, salespersons, salary,
wages and cost centers.
In the below example, we are creating different Attribute Views – Attribute View for
Employee, Department, Wage Type which are used for explaining other features of
SAP HANA data model in this document.
Implementation:
5.1. Attribute View for Employee
5.1.1. Select your package, right click and select New -> Attribute View option

Author:
SAP BPC Consultant

11/28/2013

Chief Architect:
Jothi Periasamy


______________________________________________________________
5.1.2. Enter a Name and Description for the Attribute View and click ‘Finish’

5.1.3. Click on ‘Data Foundation’. Press the ‘Add Objects’ button

Author:
SAP BPC Consultant

11/28/2013

Chief Architect:
Jothi Periasamy


______________________________________________________________
5.1.4. Search for the table and select ‘Ok’

5.1.5. In the resulting ‘Details’ window select and add the desired fields to output

Author:
SAP BPC Consultant

11/28/2013

Chief Architect:
Jothi Periasamy


______________________________________________________________
5.1.6. Select the primary key and mark the ‘Key Attribute’ field to ‘True’

5.1.7. Save and activate the view

Author:
SAP BPC Consultant

11/28/2013

Chief Architect:
Jothi Periasamy


______________________________________________________________
5.2. Attribute View for Department
5.2.1. Select your package, right click and select New -> Attribute View option

5.2.2. Enter a Name and Description for the Attribute View and click ‘Finish’

5.2.3. Click on Data Foundation. Select ‘+’ to add objects

Author:
SAP BPC Consultant

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Chief Architect:
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______________________________________________________________
5.2.4. Look-up the table and add it to the attribute view

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Chief Architect:
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______________________________________________________________
5.3. Attribute View for Wage Type
5.3.1 Similarly create attribute view AT_WAGETYPE

Author:
SAP BPC Consultant

11/28/2013

Chief Architect:
Jothi Periasamy


______________________________________________________________
6. Creating Analytic View
Analytic Views are created to serve as the SAP HANA Cube and they are combined
with Attribute Views to create rich multidimensional Analytics
In the below example we are creating an Analytic view which consists Fact table for
payroll and Dimension tables for employee, department and wage type.
Implementation:
6.1. Right-click on the package, select New -> Analytic View

6.2. Enter a Name and Description for the Analytic View and select ‘Finish’

Author:
SAP BPC Consultant

11/28/2013

Chief Architect:
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______________________________________________________________
6.3. Select ‘+’ sign in ‘Data Foundation’ to add objects to the view.

6.4. Type the name of the object (table/attribute view) and add them

Author:
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Chief Architect:
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______________________________________________________________
6.5. Similarly add the other required tables/attribute views

6.6. Create join for the relevant fields and add the required fields to the output

Author:
SAP BPC Consultant

11/28/2013

Chief Architect:
Jothi Periasamy


______________________________________________________________
6.7. Click on ‘Semantics’ and in the resulting ‘Column’ window, mark the Attributes
and Measures appropriately

6.8. Save and activate the view

Author:
SAP BPC Consultant

11/28/2013

Chief Architect:
Jothi Periasamy


______________________________________________________________
6.9. Data Preview the view

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Chief Architect:
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______________________________________________________________
7. Creating Calculation View
Calculation views are created to address complex calculations. Types of calculation
view are Graphical & Script. These are required to create when we are working with
multiple fact tables, or when joins are not sufficient. The final output of a calculation
view can contain attributes, measures and hierarchies.
In the below example we have created calculation view to calculate a new
commission of an employee by adding $1000 to the existing commission of an
employee belonging to a particular department.
Implementation:
7.1. Select the package, right click and add a new Calculation View

Author:
SAP BPC Consultant

11/28/2013

Chief Architect:
Jothi Periasamy


______________________________________________________________
7.2. Select the ‘SQL Script’ option in Calculation View

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Chief Architect:
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______________________________________________________________
7.3. Select the ‘Script’ button in Scenario to enter the script for calculation view.

7.4. The below script adds $1000 to the commission of employees belonging to the
‘QA’ department.

7.5. Select the Define Output Parameter icon to add output

Author:
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Chief Architect:
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______________________________________________________________
7.6. Add the required output and define the data type and length for the same. Make
sure the data type and length of the fields matches with the data type and length of
fields defined in the table

7.7. Select the ‘Output’ button and add the required fields as Attribute and Measures
respectively.

Author:
SAP BPC Consultant

11/28/2013

Chief Architect:
Jothi Periasamy


______________________________________________________________
7.8. The above added Attributes and Measures are displayed under their respective
headers

7.9. Save all the changes

7.10. Save and Validate. Activate the view

Author:
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Chief Architect:
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______________________________________________________________
7.11. Data Preview the Calculation View

7.12. Employees belonging to the QA department will get a commision of $1000

Author:
SAP BPC Consultant

11/28/2013

Chief Architect:
Jothi Periasamy


______________________________________________________________
8. Decision Table
Decision table is a way in business rules realm to formulate rules of business,
company or corporation in a table structure.
Decision table comprises of columns and rows where columns describe the definition
and an operation of the rules and rows represents the value associated with these
definitions and operations respectively. The columns are thus classified as:
1. Condition Column – definition of the rule
2. Action Column - operation to the performed if the conditions are satisfied.
In the below example, we are creating decision table for employee payroll having
condition for Dept_ID and action as salary increment, i.e. when Dept_ID is D001 the
salary of an employee belonging to the Dept D001 will get the commission along with
the salary (Salary_Increment = Emp_Salary + Emp_Comm where Dept_ID=D001)
Implementation:
8.1. Right-click on the schema. Select New -> Decision Table.

Author:
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Chief Architect:
Jothi Periasamy


______________________________________________________________
8.2. Enter Name and Description for the Decision Table and select ‘Next’

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8.3. Perform a search for the required table. Add the ‘F_PAYROLL’ table created
above and select ‘Finish’

8.4. Add the required fields as Attribute

Author:
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Chief Architect:
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______________________________________________________________
8.5. Add the required attribute as Condition

8.6. To add an ‘Action’, right click on Parameters and select ‘New’

Author:
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Chief Architect:
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______________________________________________________________
8.7. Enter a Name, Description and Data Type for the new Parameter

8.8. Add the Parameter as Action

Author:
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Chief Architect:
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______________________________________________________________
8.9. From the bottom of the canvas, select the Decision Table option

8.10. Right-click on the table and select ‘Import Data from Excel’

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Chief Architect:
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______________________________________________________________
8.11. Create an excel with the same header as the Decision Table and insert values
into it. Select this excel as the source to import data


8.13. Navigate to: Catalog ->_Sys_Bic ->Procedures ->yogi/DT_With_Return_Values

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______________________________________________________________
8.14. To preview the data go to : Catalog -> _SYS_BIC -> Column Views -> yogi/
DT_NEW_QA_SALARY. Right-click and select ‘Open Data Preview’

8.15. The existing EMP_SAL and the new calculated salary ‘NEW_SALARY’ will be
displayed

Author:
SAP BPC Consultant

11/28/2013

Chief Architect:
Jothi Periasamy


______________________________________________________________
9. Input Parameters
Input Parameters are used in Analytical and Calculation views when currency
conversion and calculated columns needs to be parameterized. In Calculation views
(Graphical and SQL Script based), apart from parameterization, input parameters
can also be used to filter data.
The default values for Input Parameters can be maintained in the form of Constants
or Expression and it is recommended to maintain them.
In the below example, we are using Input Parameter in a calculated column to find
out gross salary of an employee which is equal to an addition of employee salary
and employee commission
Implementation:
9.1. Navigate to Analytic View -> Semantics -> Variables/Input Parameters -> Create
Input Parameter

Author:
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Chief Architect:
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______________________________________________________________
9.2. Enter a Name, Label, Parameter Type, Data Type, Length and the List of
values. Use the Add and Remove buttons to add values

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9.3. Create a calculated column

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9.4. Enter the Name, Label, Data Type, Column Type and Expression. Validate the
expression. The expression below calculated is the addition of salary and
commission
The “EMP_SAL”+”EMP_COMM” is used to calculate the gross salary

Author:
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Chief Architect:
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______________________________________________________________
9.5. Validate the expression

9.6. Create another calculated column

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9.7. The Boolean expression checks the Input Parameter and displays the Final Sal
according to the user selection

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9.8. Validate the expression


9.10. Data Preview the view. The Input Parameter dialog is displayed

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______________________________________________________________
9.11. User will be prompted with a dialog that has the Input Parameter. Make a
selection and press ‘OK’

9.12. The EMP_SAL and FINAL_SAL are the same since the user selected
‘EMP_SAL_BASE’ as the Input Parameter

9.13. Refresh the table. This time select ‘EMP_SAL_GROSS’

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9.14. The Calculated gross salary and the Final Salary will be the same in this case.

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______________________________________________________________
10. Currency Conversion
In many reporting scenarios, it is often required to display the financial figures in
multiple currencies. For example, most of the systems capture the net sales in the
local currency of the Store. For the Country level local reporting, it is often required
to report the Net sales in the Local currency. But for the Regional Head Quarter
reporting, the Net Sales values need to be converted to the Regional currency. The
same figure at the Global Head Quarter might be required in the Global currency.
While converting the Net Sales from one currency to other, different exchange rates
might be applicable. Based on the nature of report and Functional area of the users,
the Exchange rate could be Monthly / Yearly Actual or Budgeted. Also depending
upon the time, the users may prefer to apply the exchange rate applicable this
month, previous month, beginning of this year or even last year.
In the below example, for reporting purpose we are converting employee's salary
from EUR to USD currency.
Implementation:
10.1. Pick a conversion rate to be used.

Author:
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Chief Architect:
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______________________________________________________________
10.2. From the AN_EMPLOYE analytic view, select the EMP_SAL field once again

10.3. The EMP_SAL is added twice. The 1st one will represent the actual sal and the
2nd the converted currency

Author:
SAP BPC Consultant

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Chief Architect:
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______________________________________________________________
10.4. Change the name in ‘Properties’. Click on ‘Measure’. Select the ‘Browse’
button

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Chief Architect:
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______________________________________________________________
10.5. Enter the Type, Currency, Target, Exchange Type, Conversion Data, Schema,
Client in the resulting window.


Author:
SAP BPC Consultant

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Chief Architect:
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______________________________________________________________
10.7. Data Preview the Table. The actual/base and the currency converted salaries
are displayed

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______________________________________________________________
11. Hierarchy
In SAP HANA, we have a choice of creating 2 types of hierarchies:
• Level Hierarchy
• Parent Child Hierarchy
In Level hierarchy each level represents a position in the hierarchy. For example, a
time dimension might have a hierarchy that represents data at the month, quarter,
and year levels. Each level above the base (or most detailed) level contains
aggregate values for the levels below it.
Hierarchies and levels have a many-to-many relationship. A hierarchy typically
contains several levels, and a single level can be included in more than one
hierarchy.
In the below example, we have created level hierarchy at 3 levels - department,
employee manager and employee name. The result will display all the employee
names reporting to a manager belonging to a particular department.
Implementation:
11.1. Select the AN_DEPARTMENT attribute view. From Semantics ->Hierarchies,
click on the ‘+’ sign

Author:
SAP BPC Consultant

11/28/2013

Chief Architect:
Jothi Periasamy


______________________________________________________________
11.2. Enter a Name, Label and elements. Enter the elements in the order you want
the hierarchy to be in at Department level

11.3. Save and Validate. Activate the View

Author:
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______________________________________________________________
11.4 Create an analytic view. Right-click on the package and select New -> Analytic
View

11.5. Enter a Name and Description. Click ‘Finish’

Author:
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Chief Architect:
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______________________________________________________________
11.6. Add the attribute view created above to the Data Foundation. Add the
Employee table to Data Foundation. While the AT_DEPARTMENT has the
hierarchy, the EMPLOYEE table has the measures

11.7. Add the required fields to output from the EMPLOYEE table on to logical join

Author:
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Chief Architect:
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______________________________________________________________
11.8. Link the fact and dimension table


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______________________________________________________________
11.10. Data Preview the Analytic View

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______________________________________________________________
11.11. Launch Excel. Go to: Data -> From Other Sources -> From Data Connection
Wizard

11.12. Select ‘Other/Advanced’

Author:
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Chief Architect:
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______________________________________________________________
11.13. Select ‘SAP HANA MDX Provider’

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Chief Architect:
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11.14. Enter the Host, Instance Number, credentials, Language and test the
connection

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______________________________________________________________
11.15. Browse and select your package followed by selecting your Analytic View.
Click Next

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______________________________________________________________
11.16. Select ‘Save password in file’. Click Finish

Author:
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Chief Architect:
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______________________________________________________________
11.17. Select the desired cell where you would like the pivot table

11.18. Select the fields to add in the hierarchy report

Author:
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Chief Architect:
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______________________________________________________________
11.19. Select the ‘Values’ to drill-down the hierarchy

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Chief Architect:
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______________________________________________________________
12. Functions
Scalar UDFs are user-defined functions which accept multiple input parameters and
result exactly one scalar value. These functions allow the developer to encapsulate
complex algorithms into manageable, reusable code which can then be nested within
the field list of a SELECT statement.
In the below example, we have created a Function to give $1000 holiday bonus to all
the employees.
Implementation:
12.1. Expand your schema. Right-click on the ‘Functions’ folder and select SQL
console

Author:
SAP BPC Consultant

11/28/2013

Chief Architect:
Jothi Periasamy


______________________________________________________________
12.2. Enter the code for the function. The below code takes the user input for holiday
bonus and adds it to EMP_COMM

12.3. Pass a parameter and execute (F8)

12.4. A $1000 holiday bonus will be added to all employees

Author:
SAP BPC Consultant

11/28/2013

Chief Architect:
Jothi Periasamy


______________________________________________________________
13. Procedure
Procedures describe a sequence of data transformations on data passed as input
and database tables. Data transformations can be implemented as queries that
follow the SAP HANA database SQL syntax by calling other procedures. Read-only
procedures can only call other read-only procedures.
In the below example, we have created a procedure to give a bonus as 10%
increase in salary for all the employees.
Implementation:
13.1. Right-click on the package and select New -> Procedure

Author:
SAP BPC Consultant

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Chief Architect:
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______________________________________________________________
13.2. Enter a Name and Description for the procedure. Change the Default Schema
if required.

Author:
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11/28/2013

Chief Architect:
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______________________________________________________________
13.3. Enter the code for the procedure. The below code adds a 10% salary for
employees

13.4. Save and Validate. Activate the Procedure

13.5. Expand ‘_SYS_BIC’ -> Procedures. The procedure we created will be present
here

Author:
SAP BPC Consultant

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Chief Architect:
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______________________________________________________________
13.6. Call the procedure

13.7. A 10% salary increase will be added to all employees

Author:
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11/28/2013

Chief Architect:
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______________________________________________________________
14. Database Triggers
A database trigger is a piece of code that updates a database automatically in
response to a certain event.
In the below example, when a new record is inserted into WAGE_TYPE table our
code will insert a new row in the NEW_WAGETYPE_AUDIT table
Implementation:
14.1. Right-click on your schema and select ‘Create table’

14.2. Create a table (NEW_WAGETYPE_AUDIT) with the required fields, data type
and length. Assign the keys

Author:
SAP BPC Consultant

11/28/2013

Chief Architect:
Jothi Periasamy


______________________________________________________________
14.3. Data preview the table. The table won’t have any data yet

Author:
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Chief Architect:
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______________________________________________________________
14.4. Enter the code for the trigger. The code below will insert a row in the
NEW_WAGETYPE_AUDIT table every time a record is inserted in the WAGETYPE
table

14.5. Insert a record in the WAGETYPE table

Author:
SAP BPC Consultant

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Chief Architect:
Jothi Periasamy


______________________________________________________________
14.6. Data preview the WAGETYPE table. The new record will be present

14.7. Data preview the NEW_WAGETYPE_AUDIT table. The current user and the
timestamp values will be populated

Author:
SAP BPC Consultant

11/28/2013

Chief Architect:
Jothi Periasamy


______________________________________________________________

Disclaimer:
This description is a preliminary version and not subject to a license agreement or
any other agreement with SAP®. This document contains only intended strategies,
developments, and functionalities of the SAP product and is not intended to be
binding upon SAP to any particular course of business, product strategy, and/or
development. Please note that this preview is subject to change and may be
changed by SAP at any time without notice.
SAP/We assume no responsibility for errors or omissions in this document. SAP/We
does not warrant the accuracy or completeness of the information, text, graphics,
links, or other items contained within this material. This preview is provided without a
warranty of any kind, either express or implied, including but not limited to the
implied warranties of merchantability, fitness for a particular purpose, or noninfringement.
SAP/We shall have no liability for damages of any kind including without limitation
direct, special, indirect, or consequential damages that may result from the use of
these materials. This limitation shall not apply in cases of intent or gross negligence.
The statutory liability for personal injury and defective products is not affected.

Author:
SAP BPC Consultant

11/28/2013

Chief Architect:
Jothi Periasamy


______________________________________________________________
SAP Community Contributors:
Author :

Chief Architect :


Jothi Periasamy

SAP HANA/EPM Solutions Exprt


SAP BPC Solutions Lead

SAP BPC/BOBJ/BI/MDM Community
Domain Champion


joesaran@gmail.com, (916)-296 0228 - Cell

We always appreciate your help and support in growing SAP HANA/EPM/BI/EIM
community. Don’t hesitate to contact us for any of your needs, including:
SAP HANA Use Cases
SAP HANA Design
SAP HANA Data Model
SAP BPC on HANA Solution Architecture
Rolling Forecast
SKU-Level/Top-Down Planning
Consolidation
Planning
Budgeting
etc.

Author:
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Chief Architect:
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______________________________________________________________
Our Upcoming Community Knowledgebase:
We are very happy to share with you about upcoming community contribution. We are in the
process of publishing the following article within a month period.
SAP HANA Data Management and Data Integration – Leveraging SAP
BusinessObjects Data Services (BODS)
Preparing Financial Statements on SAP BPC – Enabled Through SAP HANA InMemory Computing
SAP EPM 10.0 Reporting User Guide – Anything and Everything You Need to
Know About EPM Reporting

Our Social Learning Community:
We are so excited to be part of these one hundred thousand (100K) community contributors.
Our community has been growing rapidly.
Thanks for your help and continues support!

Author:
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Chief Architect:
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Clone skills,inc. sap bpc on hana data modeling v9 11282013

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