Calculation of revenue per employee
hi gurus
I am facing a Porbrm in designing a report int hat report I have to calculate REVENUE PER EMPLOYEE.
the scenario is like this
I have a Project XFPB_BW revenue for this project is known say 5000.00 INR
we have EMPLoyee they book TIme using timesheet and the cost rete is maintained in the time sheet.
say
emp no qty cost
1010 10 100
1010 8 200
1010 7 300
total 25 600
now I have to calculate rev per employee like this
rev/cost = (revenue/cost)*individual cost = 8.33
rev / qty= (revenue/qty)*individual qty = 200
<b> project employee cost qty rev rev/cost rev/qty</b></b>
XFPB_BW 0 0 5000 0 0
1010 100 10 0 833 2000
1010 200 8 0 1666 1600
1010 300 7 0 2499 1400
total 600 25 5000 4998 5000
I am writing this start routine for this
PROGRAM trans_routine.
CLASS routine DEFINITION
CLASS lcl_transform DEFINITION.
PUBLIC SECTION.
Attributs
DATA:
p_check_master_data_exist
TYPE RSODSOCHECKONLY READ-ONLY,
*- Instance for getting request runtime attributs;
Available information: Refer to methods of
interface 'if_rsbk_request_admintab_view'
p_r_request
TYPE REF TO if_rsbk_request_admintab_view READ-ONLY.
PRIVATE SECTION.
TYPE-POOLS: rsd, rstr.
Rule specific types
TYPES:
BEGIN OF tys_SC_1,
InfoObject: 0PROJECT Project Definition.
PROJECT TYPE /BI0/OIPROJECT,
InfoObject: 0EMPLOYEE Employee.
EMPLOYEE TYPE /BI0/OIEMPLOYEE,
InfoObject: 0FISCPER Fiscal year / period.
FISCPER TYPE /BI0/OIFISCPER,
InfoObject: 0FISCVARNT Fiscal year variant.
FISCVARNT TYPE /BI0/OIFISCVARNT,
InfoObject: 0CALDAY Calendar Day.
CALDAY TYPE /BI0/OICALDAY,
InfoObject: 0VTYPE Value Type for Reporting.
VTYPE TYPE /BI0/OIVTYPE,
InfoObject: 0CURTYPE Currency Type.
CURTYPE TYPE /BI0/OICURTYPE,
InfoObject: 0AMOUNT Amount.
AMOUNT TYPE /BI0/OIAMOUNT,
InfoObject: 0RECORDMODE BW Delta Process: Update Mode.
RECORDMODE TYPE RODMUPDMOD,
InfoObject: 0CURRENCY Currency Key.
CURRENCY TYPE /BI0/OICURRENCY,
InfoObject: ZMATERIAL Material (Role).
/BIC/ZMATERIAL TYPE /BIC/OIZMATERIAL,
InfoObject: 0PRIORITY Priority.
PRIORITY TYPE /BI0/OIPRIORITY,
InfoObject: 0CO_AREA Controlling area.
CO_AREA TYPE /BI0/OICO_AREA,
InfoObject: 0WBS_ELEMT Work Breakdown Structure Element (WBS Elem
*ent).
WBS_ELEMT TYPE /BI0/OIWBS_ELEMT,
InfoObject: 0UNIT Unit of Measure.
UNIT TYPE /BI0/OIUNIT,
InfoObject: 0COSTELMNT Cost Element.
COSTELMNT TYPE /BI0/OICOSTELMNT,
InfoObject: 0COMP_CODE Company code.
COMP_CODE TYPE /BI0/OICOMP_CODE,
InfoObject: 0PROFIT_CTR Profit Center.
PROFIT_CTR TYPE /BI0/OIPROFIT_CTR,
InfoObject: ZREV_CE1 revenue from cost element.
/BIC/ZREV_CE1 TYPE /BIC/OIZREV_CE1,
InfoObject: 0QUANTITY Quantity.
QUANTITY TYPE /BI0/OIQUANTITY,
Field: RECORD.
RECORD TYPE RSARECORD,
END OF tys_SC_1.
TYPES:
tyt_SC_1 TYPE STANDARD TABLE OF tys_SC_1
WITH NON-UNIQUE DEFAULT KEY.
$$ begin of global - insert your declaration only below this line -
... "insert your code here
TYPES: BEGIN OF tt_revfac,
projdef TYPE /bic/cs8zods_mpp-project,
FISCPER TYPE /bic/cs8zods_mpp-FISCPER,
amt TYPE /bic/cs8zods_mpp-amount,
revenue TYPE /bic/cs8zods_mpp-/BIC/ZREV_CE1,
"Add by Jatin
END OF tt_revfac.
TYPES: BEGIN OF tt_qtyfac,
projdef TYPE /bic/cs8zods_mpp-project,
FISCPER TYPE /bic/cs8zods_mpp-FISCPER,
qty TYPE /bic/cs8zods_mpp-quantity,
revenue TYPE /bic/cs8zods_mpp-/BIC/ZREV_CE1,
"Add by Jatin
END OF tt_qtyfac.
DATA: ...
*DATA: g_t_revfac TYPE STANDARD TABLE OF tt_revfac.
*DATA: g_t_qtyfac TYPE STANDARD TABLE OF tt_qtyfac.
DATA: g_t_revfac TYPE SORTED TABLE OF tt_revfac WITH UNIQUE KEY projdef
fiscper.
DATA: g_t_qtyfac TYPE SORTED TABLE OF tt_qtyfac WITH UNIQUE KEY projdef
fiscper.
$$ end of global - insert your declaration only before this line -
METHODS
start_routine
IMPORTING
request type rsrequest
datapackid type rsdatapid
EXPORTING
monitor type rstr_ty_t_monitors
CHANGING
SOURCE_PACKAGE type tyt_SC_1
RAISING
cx_rsrout_abort.
METHODS
inverse_start_routine
IMPORTING
i_th_fields_outbound TYPE rstran_t_field_inv
i_r_selset_outbound TYPE REF TO cl_rsmds_set
i_is_main_selection TYPE rs_bool
i_r_selset_outbound_complete TYPE REF TO cl_rsmds_set
i_r_universe_inbound TYPE REF TO cl_rsmds_universe
CHANGING
c_th_fields_inbound TYPE rstran_t_field_inv
c_r_selset_inbound TYPE REF TO cl_rsmds_set
c_exact TYPE rs_bool.
ENDCLASS. "routine DEFINITION
$$ begin of 2nd part global - insert your code only below this line *
... "insert your code here
$$ end of 2nd part global - insert your code only before this line *
CLASS routine IMPLEMENTATION
CLASS lcl_transform IMPLEMENTATION.
Method start_routine
Calculation of source package via start routine
<-> source package
METHOD start_routine.
*=== Segments ===
FIELD-SYMBOLS:
<SOURCE_FIELDS> TYPE tys_SC_1.
DATA:
MONITOR_REC TYPE rstmonitor.
*$*$ begin of routine - insert your code only below this line *-*
... "insert your code here
DATA: lwa_datapackage LIKE LINE OF SOURCE_PACKAGE,
lwa_revfac TYPE tt_revfac,
lwa_qtyfac TYPE tt_qtyfac.
LOOP AT SOURCE_PACKAGE INTO lwa_datapackage.
lwa_revfac-projdef = lwa_datapackage-project.
lwa_revfac-FISCPER = lwa_datapackage-FISCPER. "Add by Jatin
lwa_revfac-amt = lwa_datapackage-amount.
lwa_revfac-revenue = lwa_datapackage-/BIC/ZREV_CE1.
COLLECT lwa_revfac INTO g_t_revfac.
lwa_qtyfac-projdef = lwa_datapackage-project.
lwa_qtyfac-FISCPER = lwa_datapackage-FISCPER. "Add by Jatin
lwa_qtyfac-qty = lwa_datapackage-quantity.
lwa_qtyfac-revenue = lwa_datapackage-/BIC/ZREV_CE1.
COLLECT lwa_qtyfac INTO g_t_qtyfac.
ENDLOOP.
SORT g_t_revfac BY projdef.
SORT g_t_qtyfac BY projdef.
*-- fill table "MONITOR" with values of structure "MONITOR_REC"
*- to make monitor entries
... "to cancel the update process
raise exception type CX_RSROUT_ABORT.
$$ end of routine - insert your code only before this line -
ENDMETHOD. "start_routine
Method inverse_start_routine
This subroutine needs to be implemented only for direct access
(for better performance) and for the Report/Report Interface
(drill through).
The inverse routine should transform a projection and
a selection for the target to a projection and a selection
for the source, respectively.
If the implementation remains empty all fields are filled and
all values are selected.
METHOD inverse_start_routine.
$$ begin of inverse routine - insert your code only below this line-
... "insert your code here
$$ end of inverse routine - insert your code only before this line -
ENDMETHOD. "inverse_start_routine
ENDCLASS. "routine IMPLEMENTATION
(REV by quantity)
CLASS routine IMPLEMENTATION
CLASS lcl_transform IMPLEMENTATION.
METHOD compute_ZRFEV_QTY.
IMPORTING
request type rsrequest
datapackid type rsdatapid
SOURCE_FIELDS-PROJECT TYPE /BI0/OIPROJECT
SOURCE_FIELDS-EMPLOYEE TYPE /BI0/OIEMPLOYEE
SOURCE_FIELDS-FISCPER TYPE /BI0/OIFISCPER
SOURCE_FIELDS-CURRENCY TYPE /BI0/OICURRENCY
SOURCE_FIELDS-UNIT TYPE /BI0/OIUNIT
SOURCE_FIELDS-QUANTITY TYPE /BI0/OIQUANTITY
EXPORTING
RESULT type tys_TG_1-/BIC/ZRFEV_QTY
CURRENCY type tys_TG_1-CURRENCY
DATA:
MONITOR_REC TYPE rsmonitor.
*$*$ begin of routine - insert your code only below this line *-*
... "insert your code here
DATA: lwa_qtyfac TYPE tt_qtyfac,
l_avg TYPE tt_qtyfac-qty.
READ TABLE g_t_qtyfac INTO lwa_qtyfac
WITH KEY projdef = SOURCE_FIELDS-PROJECT
FISCPER = SOURCE_FIELDS-FISCPER
BINARY SEARCH.
Collect entries for fical year
IF sy-subrc = 0.
IF lwa_qtyfac-qty <> 0.
l_avg = lwa_qtyfac-revenue / lwa_qtyfac-qty.
ELSE.
l_avg = 0.
ENDIF.
ENDIF.
*-- fill table "MONITOR" with values of structure "MONITOR_REC"
*- to make monitor entries
... "to cancel the update process
raise exception type CX_RSROUT_ABORT.
... "to skip a record
raise exception type CX_RSROUT_SKIP_RECORD.
... "to clear target fields
raise exception type CX_RSROUT_SKIP_VAL.
RESULT = l_avg * SOURCE_FIELDS-quantity .
CURRENCY = SOURCE_FIELDS-CURRENCY .
$$ end of routine - insert your code only before this line -
ENDMETHOD. "compute_ZRFEV_QTY
Method invert_ZRFEV_QTY
This subroutine needs to be implemented only for direct access
(for better performance) and for the Report/Report Interface
(drill through).
The inverse routine should transform a projection and
a selection for the target to a projection and a selection
for the source, respectively.
If the implementation remains empty all fields are filled and
all values are selected.
METHOD invert_ZRFEV_QTY.
$$ begin of inverse routine - insert your code only below this line-
... "insert your code here
$$ end of inverse routine - insert your code only before this line -
ENDMETHOD. "invert_ZRFEV_QTY
ENDCLASS. "routine IMPLEMENTATION
the problem with this is that I can not filter at the Query levele NOw I want to know Can I write it at query level if possible how
Please help its urgent and challenging also.
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A planning step always contains exactly one planning function, for example a formula function. If that planning sequences are used, these cannot be calculated as a planning step, instead the number of planning functions contained must be entered. The average number of data records manipulated by one single planning step has an impact on the CPU time consumed by a user.
Example
In our example we have an average of 2,800 ( = (3 * 5,000 + 3 * 600) / 6) records per planning step.
Note
o The term planning step is often understood from a business view, where it means a total run of a planning area. Here, we take a functional perspective.
o The memory requirement and CPU consumption is estimated on the basis of this data. To determine memory requirements, we assume that there is an average data record length of 1KB.
Maximum data per planning step
Estimate the maximum number of data records manipulated by one single planning step.
Example
As mentioned above the planning functions work through different sets of data. The maximum number is 5,000 per hour and user.
Maximum data per user
Estimate the maximum number of data records a user holds in memory simultaneously. This is needed to estimate the memory consumption of a user.
Example
Take the example mentioned above. If the user doesn't leave the transaction, he holds 6,800 (5,000 + 600 + 600 + 600) records in memory. Please keep in mind, that the set of data is the sum of records read and records created
Comment
Editing/creating data records is achieved by planning functions or manual planning. We do not differentiate between these two types for sizing, as both of them are used to manipulate data records.
We only size "User Groups Business Planning". NetWeaver BI server must be sized separately. However, the sizing result includes the part of NetWeaver BI that is used to deliver the transaction data to "User Groups Business Planning". For sizing the load generated on the NetWeaver BI system by "User Groups Business Planning" we assume that 30% of all executed planning steps access NetWeaver BI. For the remaining 70% of the planning steps we assume that they manipulate data records which have already been read by NetWeaver BI.
BI Users
BI-INFO,
BI-BUSIN.,
BI EXPERT Definition
In NetWeaver BI, we distinguish roughly between user types according to their frequency of activity and the reporting they will normally do.
Active User Type Navigation Steps per Hour This user will predominantly ...
Information Consumer 1 ... view predefined and static reports
Business User 11 ... navigate within reports, do slicing and dicing, but usually hit aggregates
BI Expert 33 and more ... run ad-hoc queries with a high probability of full table scans
A navigation step includes drilling down in the reports and corresponds to nine dialog steps in the SD benchmark. If you don't know the user distribution, a typical ratio in the NetWeaver BI environment is 71% : 26% : 3% (Information Consumer : Business User : BI Expert).
Comment
The system automatically calculates the Java parts which are shown at the result level.
If BI Java is not used, you should add 5 % to the SAPS of the application server.
User Groups Reporting & Analysis
Definition
Collection of a selection of characteristics and key figures (InfoObjects) for the analysis of the data of an InfoProvider. A query always refers exactly to one InfoProvider, whereas you can define as many queries as you like for each InfoProvider.
For sizing purposes we distinguish between three query types which are defined by the load they create in the system.
Report Viewing: Predefined, static, reports using optimal aggregates
OLAP Analysis: Slicing and dicing, navigating in reports, using various aggregates
Data Exploration: Data mining, that is ad-hoc reports with unpredictable navigation paths, access of detail data, full table scans
Any user can do any type of query. However, experience shows a certain activity pattern, as you can see in the table below.
Query Type Report Viewing OLAP Analysis Data Exploration Total Percent
Information Consumer 80% 20% 0% 100%
Business User 50% 50% 0% 100%
BI Expert 0% 0% 100% 100%
Data Upload
UPLOAD Definition
In this section you can specify how many records you need to upload within your peak time interval.
InfoCube
INFOCUBE
IC-APO
IC-CO
IC-CRM
IC-FI
IC-HR
IC-MM
IC-PP
IC-PS
IC-SD
IC-SEM
Definition
The central objects upon which reports and analyses in NetWeaver BI are based, are called InfoCubes. An InfoCube describes (from a reporting point of view) a self-contained dataset, for example, of a business-orientated area.
An InfoCube has a particular type:
BasicCube which is a collection of relational tables arranged according to the star schema: A large fact table in the center, surrounded by several dimension tables.
MultiCube which is based on the basic cube. It combines data from several BasicCubes/RemoteCubes, and brings it together into one context. The MultiCube itself does not contain any data; its data comes exclusively from the BasicCubes it is based on.
RemoteCube to carry out reporting using data in external systems without having to physically store transaction data in NetWeaver BI.
Only BasicCubes physically contain data on the database. MultiCubes and RemoteCubes simply display logical views of a dataset. The InfoCube type is not important, as far as reporting is concerned. A query definition always refers to one InfoCube. The difference between the InfoCube types becomes important at the point when you select data for the query.
InfoCube types: From the list below you can choose additional InfoCubes, just take the information and fill it in the questionnaire.
Long Text Short Name Cube name Dimensions Key Figures Length
Aerospace & Defense A&D 0AD_C01 6 2 94
Apparel and Footwear AFS 0AFMM_C01 8 48 896
Automotive 0AUPPC_3 12 11 307
Business Planning and Simulation 0SEM_C09 5 14 288
Category Management 0CM_C07 7 34 648
Consumer Products Industry CP 0CP_PURC1 8 52 964
Distribution Channel-Specific A 0CRM_CTI2 3 16 302
E-Analytics 0WEB_C01 12 5 205
External Market Data 0DB_MC01 9 5 175
Financials Management & Control 0FITV_C02 12 13 341
Healthcare 0HC_C01 9 16 362
Insurance 0IS_CS_C1 9 8 226
Inventory Management 0COPC_C04 7 6 172
Investment Management 0IMFA_C02 7 3 121
Marketing 0CRM_MC05 12 43 851
Marketplace 0MA_OP_C1 9 13 311
Media Enterprises 0MEMAMC04 11 16 382
Mobile Sales MSA 0MSA_C05 8 6 182
Oil & Gas Oil & Gas 0OI_SSC01 9 16 362
Personnel Management 0PACM_C01 10 17 389
Point of sale POS 0RT_C06 9 33 651
Retail - Logistics 0RT_C41 7 183 3181
Sales and Distribution Analyses 0CSAL_C09 12 29 613
Service 0CRM_PRI 14 47 939
Strategic Enterprise Management SEM 0SEMPA_C2 13 68 1286
Strategic Enterprise Management 0SEM_MC01 6 9 213
Traffic Analysis 0MA_C02 15 21 507
Treasury TR 0TRCM_MC1 6 2 94
Utility Company 0UCSA_C01 12 20 460
Specifics for InfoCubes
Dimension
A grouping of those evaluation groups (characteristics) that belong together, as regards contents, in one generic term. With the definition of an InfoCube, characteristics are summarized into dimensions in order to store them in a table of the star schema (dimension table). An InfoCube has no more than 16 dimensions, of which three are standard (package, time, unit) and included in the sizing by default. You can therefore enter only 13 dimensions at most.
Key figures
Values or quantities, such as sales revenue, fixed costs, sales quantity, or number of employees.
In addition to the key figures saved on the database, you have the option of defining derived (calculated) key figures in the query definition in the Business Explorer. Such key figures are calculated using a formula from the key figures of the InfoCube.
Examples of derived key figures are "sales revenue per employee" (sales revenue divided by number of employees), "variance as a percentage", or "contribution margin".
Initial load & periodic load
Initial load: Specify the estimated number of records which you plan to load into the cube initially.
Periodical load: Specify the estimated number of records which are loaded in your periodical upload process. You should take into account that you upload data volume grows with time.
Number of periods
Specify the total number of uploads which will be kept in the InfoCube. Example: if you want to keep weekly data for 5 years, you should enter 260 (52*5)
Short text
If you have several different InfoCubes of the same type, use short text to attribute names in order to identify them more easily.
DataStore Object
DS OBJECT Definition
A DataStore Object serves to store consolidated and debugged transaction data at a document level (atomic level). It describes a consolidated dataset from one or more InfoSources. This dataset can be analyzed with a BEx Query or InfoSet Query.
A DataStore contains a key (for example, document number/item) as well as data fields that can also contain character fields (for example, order status, customer) as key figures. The data of a DataStore Object can be updated with a delta update into InfoCubes and/or other DataStore Objects in the same system or across systems.
In contrast to multi-dimensional data storage with InfoCubes, the data in DataStore Objects is stored in transparent, flat database tables.</b>Hi,
BPS ;- Here you need to decide if you r really going to use this...If your are not going to use Business planning and simulation then skip this part.
In case of no. of users ....Take information from your client that how many no. of users will be there and then distribute these user as per gide lines given by sap. ( In quick sizer this help is available on market place )
Then decide which modules u r going to take in BW.
( In our case BW implementation is limited to SD, FI and CO. )
After this talk to your functional people and decided how many records will be generated per day for each module and for each functionality.
This is required to decide disk space.
Then list down all the infocubes and ods which are installed count dim. and key fig. for each cube. For ods count key fields and data fields.
Hope this helps....
Regards,
Mahendra -
How to Convert Date to Month in Database which is pointing to EBS, Not DWH.
Hi Friends,
We are planning to create reports in OBIEE and the Source is EBS. That means, we don’t want to depends on Datawarehouse and Informatica and OBIApps. We just create some reports and they are pointing to EBS database.
For testing purpose, we have taken one HR Report and it containsthe below columns:
Month (Dim)
Revenue Per Employee Headcount (Fact)
Average Cost per Active Workforce Headcount (Fact)
In my little investigation, we found that Revenue column is coming from EBS: GL_BALANCES. And we configured W_Day_D base table in DAC as there is no Month column in EBS (Not sure).
*** Coming to my problem, how can I call Month column in my database pointed to EBS. How to convert Date to Month in my database.
I could be wrong but anyone please look into this issue.. How can I create columns for that exact OBI report in EBS database instead of DwH.
Thanks in Advance..
Raghu NagadasariHi Veeresh,
You are right. Here, no need of using W_DAY_D table, but, we need all the stuff from the table and to explain my problem i have taken that table as an example. Now, we ran scripts for W_MONTH_D and W_DAY_D tables with EBS columns. So, we are getting data for the tables. In the same manner we have to create scripts for the below tables.
W_GL_ACCOUNT_D
W_GL_OTHER_F
W_STATUS_D
W_MCAL_DAY_D
W_EMPLOYMENT_STAT_CAT_D
W_WRKFC_BAL_A
W_DAY_D (Completed)
W_MONTH_D (Completed)
But, we are not aware of EBS Tables and their columns much. So, we are back tracing from RpD --> DAC --> Info --> EBS for each and every column and its taking much time.
So, if anyone of you facing the same issue, please share the EBS tables for the corresponding OBI tables, which are mentioned above.
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