Short Presentation Title

SAP HANA erfolgreich im Einsatz
Jürgen Karnstädt
HP SAP Competence Center Walldorf
Mai 2014
New possibilities with SAP HANA
Technical feasibility is given
Real-Time
Sensing and
Responding
Search
Big Data
Mobile
Cloud
Real-Time Enterprise
with SAP HANA
Social
Analytics
Real-Time
Planning and
Simulations
Predictive
Analysis
Real-Time
Reporting and Analysis
SAP HANA scenarios
SAP HANA
Innovation Overview
HANA
Accelerators
Client
SAP HANA
DB
Side-by-side scenarios
In seconds
Accelerating existing
transactions of the
Business Suite
More insight
Exploring data loaded
from Business Suite on
any level of detail
• CO-PA RDS
• …
• Ops. Reporting RDS
• …
© 2014 SAP (Schweiz) AG. All rights reserved.
Supercharged BW
Speed up your BW without disruption
• BW on SAP HANA
Apps
AnyDB
BW
SAP HANA
DB
Apps
VDL
AnyDB
SAP
Business
Suite
PLM
SAP HANA
DB
BW
SRM
AnyDB
SAP
Business
Suite
SAP Business Suite
SCM
SAP HANA
DB
(VDL)
Business Suite
on HANA
Strateic
Investments)
Client
SAP
Business
Suite /
non-SAP
HANA Apps
CRM
AnyDB
Client
BW on HANA
ERP
SAP
Business
Suite
HANA Analytics
SAP HANA DB
Integrated scenario
Innovation
Functional apps natively
built on SAP HANA, with or
without Business Suite
integration
All-in-one – ultimate
Business Suite solution fully
integrated with and optimized for
SAP HANA as database
• CRM on HANA
• Cash Forecasting
• Smart Meter Analytics
……
4
CO-PA (Profitability Analysis) Report
© 2014 SAP (Schweiz) AG. All rights reserved.
•
CO-PA (Profitability Analysis)
•
Function in ERP
•
Used for Management Reporting
5
Sample CO-PA Drilldown Report
Co. Co. Co.
A
B
C
MANUFACTURER
Report and drilldown structures
DISTRICT
Glass
Cera- Plastic
mics
District 3
District 2
District 1
Company
Distr. channel
Product group
Region
Manufacturer
Customer grp
District
CO- PA data basis
PRODUCT GROUP
Glass
Cera- Plastic
mics
District 3
District 2
District 1
PRODUCT GROUP
© 2014 SAP (Schweiz) AG. All rights reserved.
Analysis of "Plastic" from
manufacturer "Co. B"
3
Co. Co. Co.
A
B
C
DISTRICT
Analysis of
Product Group "Plastic"
2
MANUFACTURER
Co. Co. Co.
A
B
C
MANUFACTURER
Analysis of
Product Group "Ceramics"
1
DISTRICT
Glass-
Cera- Plastic
mics
District 3
District 2
District 1
PRODUCT GROUP
6
SAP HANA – CO-PA Accelerator
Many customers are using that side-car approach to start with HANA
SAP ERP
1 HANA Instance
CO-PA
HANA DB
CO-PA reports are reading
directly from HANA instead of
the ERP database database.
any DB
Customer Example
Allocation costs
The data is replicated regularly
to the HANA-system.
Oracle
HANA
126 s
6s
Distribution sampling on customer level
32 s
2s
Reporting: P&L Material view
63 s
6s
686 s
31 s
Custom programs: sales variance
© 2014 SAP (Schweiz) AG. All rights reserved.
7
HANA @ Warehouse Stock Simulation – Flow
 Initial Challenge: Calculation and reporting applications were separated from the very
beginning in SAP-ERP and SAP-EWM …BUT ERP-reporting performance was still
critical
 Solution: Usage of HANA-DB as accelerator
 Cumulative DB-operations were in average 20 to 60 times faster
 Read and aggregation of 3 Mio. sets needs with
 ORACLE DB
 50.000ms
 Read and aggregation of 3 Mio. sets needs with
 HANA DB
 820ms
© 2014 SAP (Schweiz) AG. All rights reserved.
Elapse time
Oracle
Hana
8
SAP BW System landscape - SAP BW on HANA
Storage
Database ServerOracle
Oracle Database 11g
SAP HANA Appliance
BW Accelerator 8x Blades
© 2014 SAP (Schweiz) AG. All rights reserved.
9
Results with SAP HANA
Simple business intelligence system landscape after migration to SAP HANA
Number of servers without HANA 8
2
1
Number of servers with HANA
1
1
1
0
ABAP
Instance
JAVA
Instance
DB Server
BW Blades
1
ABAP InstanceJAVA Instance DB Server
BWA Blades
Database size in TB
4.2
Database size in TB
0.35
HANA
Oracle
Reduce number of server‘s from 12 sever‘s to 3 server‘s
© 2014 SAP (Schweiz) AG. All rights reserved.
10
Results with SAP HANA
Performance – Data load and activation process
AR Reporting 3 Mio. records
factor 170
Billing Documents 1,1 Mio records
factor 30
11400 Min.
132 Min.
66 Min.
HANA
HANA Parallel
Without HANA
2010 Min.
Without HANA
8 Min.
Load
© 2014 SAP (Schweiz) AG. All rights reserved.
HANA
HANA Parallel
32 Min.
6 Min.
Load Parallel Activation
26 Min.
DSO Load 3,7 Mio. records with HANA
factor 36 for DS activation
DSO Load 3,7 Mio. Records
without HANA
36 Min.
45 Min.
6 Min.
Activation
Parallel
2 Min.
Load HANA Load HANA
Parallel
1 Min.
< 1 Min.
Activation
Activation
Parallel
11
Project schedule : SAP BW on HANA
Projectplan – Milestones
Migration BW on HANA
Project Phases
Initiation
Proof of Concept
Business Case
Preparation
Implementation
06





07
08
09
10
11
12
01
02
03
04
05
06
07
08
09
10
11
12
CW 45
Go-live
06/2012
Post Go-Live Support
Deliverables:
© 2014 SAP (Schweiz) AG. All rights reserved.
Decision
Provision
BW Release
Infrastructure
Change (Prod)
BW Release
HANA
Change / HANA (Test)
Migration (Prod)
12
Customer results using SAP HANA on BW
• Faster
and more precise planning
• Planning
cycle down from 3hrs to 15 mins
• Planning
completion decreased by 2 weeks
• New
• 86
dimensions for liquidity management
times faster reporting on accounts receivable
• Previously
• Efficiency
provided weekly. Now provided several times per day.
and IT cost reduction
© 2014 SAP (Schweiz) AG. All rights reserved.
13
SAP In-Memory Computing - Out of Shelf Analysis
Large Retail customer – 4 TB HANA Appliance
 Retailers use the SAP POS Data Management solution
to verify, analyze and distribute Point of Sales data in
the organization..
© 2014 SAP (Schweiz) AG. All rights reserved.
14
Smart Data Access
Enhanced Business Flexibility by
providing “the logical EDW”
Query
Data Federation in diverse EDW
landscapes
BW Virtualization Layer
Composite Provider, Open ODS View
Smart data access – read access to
relational and non-relational sources via
ODBC
• Enables access to remote data access just
like “local” table
• BW based Analytic Services on external
data
Scenario
• Make other DWHs transparent to HANA
• Consolidating / rationalizing the DWH
landscape
•
HANA Tables
Virtual Tables
HANA Smart Data Access Layer
MSS
Oracle
Teradata
Hadoop
© 2014 SAP (Schweiz) AG. All rights reserved.
SAP HANA
ASE
IQ
15
Big Data Analytics Platform with SAP HANA
Large Retail customer
HP AppSystem
for Hadoop (192TB)
Cloudera Enterprise Core
© 2014 SAP (Schweiz) AG. All rights reserved.
HP AppSystem
for HANA
2TB Scale-Up
16
SAP Business Suite on HANA
Test System 1
(any DB)
Update to Suite on HANA 1.0 SP1
EHP616 SP0 • ERP 6.16 SP1, NW ABAP 7.40 SP1
App
Server
Traditional SAP ERP system
DB
Server
Timely independent from
each other
Test System 2
(HANA DB)
EHP616 SP0
App
Server
Update to Suite on HANA 1.0 SP1
•
ERP 6.16 SP1, NW ABAP 7.40 SP1
•
HANA SP5, Latest Revision Level 48
HANA Solution
DB
Server
© 2014 SAP (Schweiz) AG. All rights reserved.
17
Results with SAP Business Suite on HANA
Key customer messages
• HANA solution over all much faster than on the original database
The Peformance in some improved areas is quiete impressive.
Nevertheless some transactions are slower then in the traditional system.
• How to deal with Customer Code
• HANA appliance is working well, stable, no disruption
© 2014 SAP (Schweiz) AG. All rights reserved.
18
SAP Suite on HANA with HP Serviceguard for automated Fail-over
• SAP Suite on HANA
• Production System replicates data
to a Stand-By Server in DC 2
using SAP System Replication
• HP Serviceguard delivers
automatic fail-over capabilities
HP Serviceguard for Linux
HP Serviceguard Extension for SAP HANA
Network
Data volume
Log volume
© 2014 SAP (Schweiz) AG. All rights reserved.
HP ProLiant DL980 G7
8 CPU´s - 1 TB Memory
Production Stand-by
HP ProLiant DL980 G7
8 CPU´s - 1 TB Memory
Production:
SAP
System
Replication
Synchronou
s
mirorred
redo log
writing
Data volume
Log volume
19
Real-time information on sales and cost price inflation
Challenges
Approach
Results
•
•
Joint invest by Kingfisher, SAP
and HP.
•
Real-time information on sales
and cost price inflation
•
Joint client workshops in Palo
Alto Labs
•
•
Solution will be available for
Retail clients
Understand historical trends
and improve revenue
forecasting on a daily basis!
•
RDS planned
•
•
No visibility to sales and
margins across operating
segments and geographies
No measurement of inflation
on sales and cost prices
Understand external factors :
weather and demographic
information to sales and
margins
© 2014 SAP (Schweiz) AG. All rights reserved.
20
HP- IT runs SAP HANA
Use Case
Business Innovation Description
Consumption Impacts
1
Real-Time
Supply Chain
Analytics
HANA-powered Supply Chain Business
Warehouses Accelerated self service analytic
modeling to drive real-time visibility on demand,
fulfillment and improved inventory leveling.
HANA: 7-10 TB
BI Suite Users:
1,500
 Reduced
upgrade
time/cost
2
Financial
Planning
HANA-powered SAP Business Planning
Drive accelerated and sophisticated scenario
planning in real-time and engage end users with
near instant returns on simulations and what-if
scenarios.
HANA: 1-2 TB
BI Suite Users:
500
 First HP HANA
implementation
3
Quote-to-Cash
HANA-powered Quote-to-Cash
Acceleration of core ECC processes in key areas
such as order management administration,
month/quarter/fiscal year end processing and live
operational reporting.
HANA: 13 TB
ECC Users: 2,000
BI Suite Users:
1,000
 HANA-based
ECC
processing
 Real-time
analytics
From >2 hours to 88 seconds
improved runtime results
© 2014 SAP (Schweiz) AG. All rights reserved.
Previous query time of over 1.5 hours
runs in 1.02 seconds on HANA
21
Summary
Technical feasible
System Architecture stable – Technology works
Performance Improvements
Performance Improvements in most areas
Business Case
What is the benefit of faster processing ?
How to define the Business case ?
© 2014 SAP (Schweiz) AG. All rights reserved.
22
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23
Thank you
Contact information:
Jürgen Karnstädt
SAP Senior Consultant
SAP HP Competence Center Walldorf
[email protected]
© 2014 SAP (Schweiz) AG. All rights reserved.