You've heard about SAP HANA, but how does it impact you? This presentation will introduce the technology and describe the new accelerators recently built allow for exciting new possibilities in SAP Controlling. This presentation covers: 1. Basic SAP HANA architecture and its relevance for Controlling users 2. The impact of SAP HANA on drill-down reporting in CO-PA and CO-PC 3. Tips for leveraging SAP HANA top-down distribution and assessment in CO-PA and on the costing run in the material ledger to reduce time-to-close 4. Options for using new Business Objects user interfaces to visualize data for different user groups

2. The Impact of SAP®
HANA: Revolutionary
Changes for Your SAP
Controlling Data
Janet Salmon
SAP AG © 2012 ERP Corp. All rights reserved.

3. Topics
• Introduction
• SAP HANA – The Basics
• Profitability Analysis
• Overhead Management
• Production Cost Analysis
• Material Ledger
• SAP HANA – Next Steps
• Summary

4. SAP HANA: Breakthrough Innovation with In-Memory Computing
In-memory computing is a technology that analyzes massive quantities of data in
local memory so that the results of complex analyses and transactions are
available at your fingertips and business decisions can be executed without delay.
Benefits
• Gain Real-Time – know it when it happens
• Go Deeper – ask any question on any data
• Act Broadly – manage large volumes of data
• Run Faster – analyze at the speed of thought
• Get Flexibility – eliminate pre-fabrication requirements

5. Your Controlling Data…
• Large data volumes
• Reports require tens of thousands of
records to be read and aggregated
• Process performance
• Reports take several hours to
complete impacting close times
• Speed of analysis and reporting
• Difficult to make relevant finance
available to managers within
adequate time frame
• Poor productivity
• Laborious and time consuming
reconciliation processes at period
close

6. Big Data : What the Experts Say...
VELOCITY
Worldwide digital content will double in 18
months, and every 18 months thereafter.
IDC
Mobile
ERP Data Reports
Costs
Emails
Planning Profitability
Period-end closing
Opportunities
Speed
VOLUME VARIETY
Velocity
In 2005, mankind created 80% of enterprise data will
150 Exabyte of information. be unstructured spanning
In 2011, 1,200 Exabyte’s traditional and non--traditional
will be created. Analysis sources.
The Economist Gartner
Transactions Revenues

7. Topics
• Introduction
• SAP HANA – The Basics
• Profitability Analysis
• Overhead Management
• Production Cost Analysis
• Material Ledger
• SAP HANA – Next Steps
• Summary

8. SAP HANA – The Basics
SAP HANA is used as second
SAP UI
database to accelerate existing
applications
• SAP HANA serves as secondary
database for SAP ERP or SAP CRM
Data Modeling • Data is replicated / written into In-
Memory in real time for secondary
SAP Computing Engine storage
Business Read • User interface remains unchanged to
Suite ensure non disruptive acceleration
• Application is accelerated by reading
the data directly from the In-Memory
database
Traditional DB
Replicate
SAP HANA

9. SAP HANA – The Landscape
HANA DB is maintained as secondary DB in ERP and connected as RFC connection
ERP System HANA DB
ABAP-
Accelerated read
Program
Copy of
read
Database Table
write
Database Table
Table replication
or line-wise inserts

10. Reading from SAP HANA – An Example Data Selection
HANA DB Tables
ERP DB Tables

11. Configuration for ERP Accelerators in SAP ERP
Monitoring of and configuration for
ERP accelerators (transaction HDBC):
• Overview of available accelerators
• Central configuration of secondary DB
connection
• Activation of secondary DB for individual
applications
• By user
• By report / transaction
• Availability and status of secondary DB
• Overview of replicated tables by
accelerator scenario

12. Topics
• Introduction
• SAP HANA – The Basics
• Profitability Analysis
• Overhead Management
• Production Cost Analysis
• Material Ledger
• SAP HANA – Next Steps
• Summary

13. Profitability Analysis: Drill-Down Reports

14. CO-PA Accelerator – Allocations via Reference Data
• Assessments of cost
center expenses into
CO-PA are accelerated
if receiver tracing
factor for reference
data is variable.
• In this example the
Sales Quantities per
Receiver will be read
from SAP HANA to
determine how the Transactions:
cost center expenses KEU1 (definition)
are to be allocated. KEU5 (execution)

15. CO-PA Accelerator – Top-Down Distribution
• Example: allocate overhead marketing cost to Allocate to product
products according to billing quantity per product
For any customer,
company code …
Value field as reference
base for allocation
Value field to be
allocated
Transaction KE28

16. Profitability Analysis: Customer Data
ERP w/o HANA ERP with HANA Acceleration
(production (test installation) factor vs. ERP
Hardware)
EBIT with commodity sales 280 sec 7 sec 40
– initial report (DB 2,8 sec)
EBIT with commodity sales 620 sec 5 sec 124
– drilldown by alphacode (DB 2,9 sec)
Cost allocation 45 sec 5 sec 9
– initial report (DB 3,4 sec)
Cost allocation 260 sec 7 sec 37
– drilldown by sending cost (DB 3,3 sec)
center

17. CO-PA Accelerator - How it Works
In-memory database is used as secondary database to accelerate data selection in all CO-PA processes.
Segment Level
CE3
CO-PA Interface
CE4 ERP-Reporting &
SD „Best Choice BW -Upload
FI of Source“
CE2
OM
CO-PA Read-interface
CE1
PC Line Items
Add Delta
OBJ
CRM Top-Down-
Initial Build distribution
…
Periodic
Update
K81 K81 Customer-defined
K81.1 K81.3 Aggregation
Classic DB Levels
Costcenter-
allocation
In Memory DB K81
CO-PA
Line Items

18. Topics
• Introduction
• SAP HANA – The Basics
• Profitability Analysis
• Overhead Management
• Production Cost Analysis
• Material Ledger
• SAP HANA – Next Steps
• Summary

19. Controlling Accelerator
Accelerated ERP Reporting and In-
Memory Based Partner Object
Reporting
SAP BO BI 4.0  Display Actual Cost Line Items for Cost Centers
ERP System HANA DB and Orders
 Display Plan Cost Line Items for Cost Centers and
Cost Center Accounting Orders
Overhead Orders Accelerated read Accelerated overhead and accrual
calculation
Investment Programs
Line items Active Availability Control Monitor
read
write
Table replication
DB Table

20. New Line Item Browser
To leverage the speed of
HANA accelerated CO Line
Item Browsers are provided:
 Cost center actual line
items KSB1N (replacing
KSB1)
 Cost center plan line items
KSBPN (replacing KSBP)
 Order actual line items
KOB1N (replacing KOB1)
 Order plan line items
KOBPN (replacing KOBP)

21. Functions of New Line Item Report
Values are
aggregated by
shown
characteristics.
Here: Cost
Element
Direct navigation
Display single
between cost center
document
groups and cost
centers
One-click access to
predefined Layouts

22. Extended Selection Options
• The speed of HANA allows more freedom in
selection of data
• Any field in the line item can be selected, where
the old transactions would finish with a timeout
for non key fields
• New Feature: Postings by partner and source
object
• Examples:
• Show me the aggregated value of the debits my
cost centers received from the IT department
• Show me the postings to my project that were
initiated by payroll in Brazil.

23. Accelerated Overhead Calculation & Accrual Calculation
Actual Overhead Calculation: Project/WBS Element/Network CJ44
Financial Statement Plan/Actual Comparison CJ45
Runtime improvement:
Plan Overhead Calculation: Project/WBS CJ46  Programs will typically only need
Plan Overhead Calculation: Projects/WBS Elements (collectively) CJ47
half the time
Actual Overhead Calculation: Product Cost Collector CO42
Actual Overhead Calculation: Production/Process Orders CO43
Actual Overhead Calculation: Business Process CPZI
Plan Overhead Calculation: Business Process CPZP
Actual Overhead Calculation: Order KGI2 Actual Accrual Calculation for Cost Centers KSA3
Actual Overhead Calculation: Internal/maintenance orders KGI4 Calculate Cost Center Actual Accrual Costs: Initial KSA4
Plan Overhead Calculation: Internal/maintenance orders KGP4 Screen
Plan Accrual Calculation for Cost Centers KSA8
Plan Overhead Calculation: Order KGP2
Actual Overhead Calculation: Cost Object (individually) KKPZ
Actual Overhead Calculation: Cost Object (collectively) KKPJ
Runtime improvement:
Actual Overhead Calculation: Cost Centers/Activity Types KSI4
 The runtime may typically
Plan Overhead Calculation: Cost Centers/Activity Types KSP4
decrease by a factor 2
Actual Overhead Calculation: Sales Orders VA44

24. Investment Programs Monitor
With this new function the speed of
HANA enables comparison of
relevant budget values and
assigned values of all orders or
WBS elements for an investment
program (or to a sub-tree of an
investment program) in real time.

25. Topics
• Introduction
• SAP HANA – The Basics
• Profitability Analysis
• Overhead Management
• Production Cost Analysis
• Material Ledger
• SAP HANA – Next Steps
• Summary

26. Production Cost Analysis
Accelerated ERP Reporting
• Accelerates all CO-PC drill-down reports
(SAP and customer specific)
SAP BO BI 4.0
ERP System HANA DB • Accelerates POWER Lists and Crystal
Reports
Production Cost Reports Accelerated read
Responsibility Reporting Responsibility Reporting on HANA
 Transactional data
 Master data • Cost center and activity reporting as
(for HANA-based
write
read
reporting)
additional dimension for responsibility
DB Table
Transactional reporting
data replicated via
datasource
table replication for
master data

27. Production Cost Analysis in HANA Studio
27

28. Production Cost Analysis: Raw Data in SAP HANA
©
SA

29. Production Cost Analysis: First Data Analysis
©
SA

30. Production Cost Analysis – ERP Reports
• Acceleration of drill-down reports
by reading from SAP HANA
• On-the-fly summarization means
that data collection run
(Transaction KKRV) is no longer
needed during period close
• On-the-fly summarization means
that there are no aggregate
records in the database
• Transaction KKBC_HOE will be
migrated to SAP HANA later

31. Production Cost Analysis – New Reports (1)
Product based view
• Use Business Object
Explorer for Responsibility
Reporting
• Responsibility reporting
determines the cost center
Product Ad hoc drill Cost center Sub second
based view down based view access
at which variances
occurred
• New analysis of variances
by activity type

32. Production Cost Analysis – New Reports (2)
Product based view
• Use SAP
Business
Objects
Analysis Client
for
Management
Reporting
• Drill-Down
Using Familiar
Pivot Table

33. Topics
• Introduction
• SAP HANA – The Basics
• Profitability Analysis
• Overhead Management
• Production Cost Analysis
• Material Ledger
• SAP HANA – Next Steps
• Summary

34. Material Ledger Accelerator
• Material Ledger Reporting
• Drill down Reporting for ML
• Virtual Info Provider for ML Reporting
with SAP BO BI 4.0 tools
SAP BO BI 4.0 • Accelerated Material Price Analysis
ERP System HANA DB
• Material Ledger Period End
Accelerated read
Closing
Material Ledger /
Actual Costing • Accelerated costing runs
 Monthly aggregated • Accelerated BW extraction
reporting data
write
read
 Closing Documents
DB Table Table replication

35. Material Ledger Reporting
KKML0 – Aggregated
Drilldown Reporting
CKM3 - Single Material

36. Reporting Using Virtual InfoProvider
SAP BO BI 4.0
ERP System HANA DB
Virtual InfoProvider
(incl. Authority Accelerated read
Check)
HANA DB Tables
write
read
ERP DB Tables Table replication

37. Performance Measurements for Costing Run
Selection Step:
Select CKMLPP
Select CKMLPP 54,7%
Post Closing:
Join MLHD x MLIT
x MLPP
Select MLIT
50,9%

38. Resulting Code Changes
• Replicate content of relevant tables to HANA
• Change program to read data from HANA
HANA

39. Improvements in Costing Run
Costing Run ERP w/o HANA ERP with Acceleration
(production HANA factor vs. ERP
Hardware) (test
installation)
Selection 45 minutes 10 minutes 4,5
Post Closing 75 minutes 27 minutes 2,7

40. Relevant Database Tables
Material Data:
Table Content # Fields # Keys Typical Count To be
replicated
CKMLHD Header data by material / plant 18 1 2.5 Mio -
CKMLPP Collected quantity data and status by 39 5 60 Mio yes
material and period
CKMLCR currency-dependent data by material, 56 6 120 Mio -
period and currency
ML Document Data:
Table Content # Fields # Keys Typical Count To be
replicated
MLHD Header data by material ledger document 21 1 45 Mio yes
MLIT Control data by document item 43 3 250 Mio yes
MLPP Additional Info per item 23 5 270 Mio yes
MLCR Values and quantities by Item

41. Acceleration of Selection Step
• Materials have to selected by plant and by status in CKMLPP from
millions of entries. It is difficult to achieve good performance with
the CKMLPP keys.
• When CKMLPP can be read from HANA the step can be
accelerated by a factor of 3 in a typical customer case
• There are 2 variants
• Asynchronous replication: CKMLPP will be replicated / HANA by a
designated program
• Ongoing replication via the LT replicator
• The first variant will be used as a start. In the long run he
synchronous replication makes much more sense, because
otherwise the replication step will add a new step in the period
end closing process.
To be replicated: CKMLPP

42. Acceleration of Posting Step
• Performance tests showed that the post closing step spends a
large amount of the runtime reading ML documents that were
written in the previous steps of the settlement. Join on MLIT x
MLPP x MLHD (> 50% of Runtime)
• Reading from HANA accelerated the step by a factor of 2 to 3.
To be replicated: MLHD, MLPP, MLIT

43. Topics
• Introduction
• SAP HANA – The Basics
• Profitability Analysis
• Overhead Management
• Production Cost Analysis
• Material Ledger
• SAP HANA – Next Steps
• Summary

44. Bring Side-by-Side to Suite on HANA
Side by Side SAP UI On HANA SAP UI
SAP SAP
Business Business
Read
Suite Suite
Replication
Traditional DB
DB Migration

45. In-Memory Computing for SAP Business Suite
In-Memory Benefits for SAP Business
Suite:
Productivity
Improved business processes
Performance
Reduced complexity:
OLAP and OLTP in one system
Agility:
Less code, less customizing, better
Flexibility supportability, …

46. Topics
• Introduction
• SAP HANA – The Basics
• Profitability Analysis
• Overhead Management
• Production Cost Analysis
• Material Ledger
• SAP HANA – Next Steps
• Summary

47. Resources
• Janet Salmon, Controlling with SAP – Practical Guide
• ISBN: 978-1-59229-392-6
• http://www.sap-press.com/products/Controlling-with-SAP-
%E2%80%94-Practical-Guide.html
• Vanda Reis, Actual Costing with the SAP Material Ledger
• ISBN: 978-1-59229-378-0
• http://www.sap-press.com/products/Actual-Costing-with-the-
SAP-Material-Ledger.html
• Rapid Deployment Solutions for SAP HANA
• http://www.sap.com/solutions/rapid-deployment/hana-erp-
profitability-analyis/index.epx
• http://www.sap.com/solutions/rapid-deployment/hana-erp-
financial-reporting/index.epx
47

48. Five Key Ideas
• SAP HANA provides innovation through in-memory computing
• Data is replicated from SAP ERP to SAP HANA in near real-time
• SAP ERP transactions read data from SAP HANA
• Alternatively you can use SAP Business Objects reporting
tools to display the data
• Accelerators are available for Profitability Analysis, Overhead
Management, Production Cost Analysis and the Material Ledger
• SAP plans to extend the approach to cover SAP ERP, bringing
OLAP and OLTP into a single system and optimizing where
possible
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49. Questions
• Now:
• Ask questions now for immediate answers
• Later:
• Janet.dorothy.salmon@sap.com
Q&A
49

50. Disclaimer
SAP®, R/3, mySAP, mySAP.com, xApps, xApp, SAP NetWeaver®, Duet®, PartnerEdge, and other SAP® products and
services mentioned herein as well as their respective logos are trademarks or registered trademarks of SAP AG in
Germany and in several other countries all over the world. All other product and service names mentioned are the
trademarks of their respective companies. ERP Corp is neither owned nor controlled by SAP.