BW on hana - 2012

SAP Business Warehouse powered by

SAP HANA

Agenda genda – SA SAP P NetWeav NetWeaver er BW Powered Powered by SAP SAP HANA HANA

Overview Deep Dive Implementation Next Steps

Agenda genda – SA SAP P NetWeav NetWeaver er BW Powered Powered by SAP SAP HANA HANA

Overview Deep Dive Implementation Next Steps

In a Perfect World ...

? ? ? Cost-effective Management of Large Da t a V o l u m e s

I m m e d i at a t e A n sw sw e r to Any Question

Cu r r e n t a n d C o m p l e t e Information

SAP in-memory innovations make real-time business a reality

In-memory allows sophisticated calculations in real-time

Calculation Engine

MPP optimized software enables linear performance scaling making sophisticated calculations like allocations possible

In-Memory

In-memory processing gives more time for relatively slow updates to column data

Massively Parallel Processing

Columnar storage increases the amount of data that can be stored in limited memory (compared to disk)

Row + Column Database

Column databases enable easier parallelization of queries Row database fast transactional processing

SAP In-Memory Appliance (SAP HANA) Architecture Oth Other Applicatio tions

MD X

SAP BusinessObjects

SQL

SQL

BICS



Modeling Studio

In-Memory Computing Engine Row & Column Storage



Data Modeling and Data Management



Real-time Data Replication Services



Data Services for ETL capabilities

Capabilities Enabled 



Real–Time Replication Services

Data Services





SAP Business Suite

SAP NetWeaver BW

In-Memory software + hardware In-Memory (HP,, IBM, Fujitsu, Cisco. Dell, Hitachi) (HP

In-Memory Computing Engine Software

SAP HANA

Calculation and Planning Engine

Preconfigured Analytical Analytical Appliance

3rd Party

Analyze information in real-time at unprecedented speeds on large volumes of non-aggregated data Create flexible analytic models based on real-time and historic business data Foundation for new category of applications (e.g., planning, simulation) to significantly outperform current applications in category Minimizes data duplication

Why you invested in SAP BW

Better visibility into your business

One version of the truth

Central view across the enterprise

Solid data foundation

But challenges are on the rise Traditional RDBMS under SAP BW not keeping up with todays business climate

SAP BW powered by HANA is next step for your business

Business Value Today

IT Value Today

New Apps in 2012

the 

Next Gen Platform

SAP BW powered by HANA: BUSINESS VALUE TODAY Do more with your data. Be more responsive.

INSIGHT

FORESIGHT

RESPONSIVE

Unlock new insights with the most powerful analytics available

Deliver precise business planning & prediction on any data at ANY level

10x faster decisions makes you more agile than the competition

“Enabling HANA to run under our SAP BW system is a very important milestone. We can now create key reports on shipping more timely and accurately across all of our plants. This is the kind of capability we need to drive operational excellence and become number one!” XiaoYu Liu  Vice President  GM Global Applications Development  Lenovo 

SAP BW powered by HANA: IT VALUE TODAY End to End performance. Simplify your landscape.

AGILE

FAST

SIMPLE

Eliminate constant remodeling, enable self-service BI

Dramatic 10x improvement in data loading and visibility into real time info

Lower cost of ownership & reduce administrative tasks with no disruption

SAP BW powered by HANA Benchmark: 1000X better! Oracle

SA P H A N A 100B uncom pressed row s per second 100 TB Benchm ark 100B Sales and Dist ribu t ion Records 16 Nod e IBM X5 $640K Data Loading: 16M per m inute w ith 20x com pression BW Workload: 300ms - 500m s Ad-Hoc Analytics: 800m s to 2 s N o D a t a b a s e Tu n i n g , N o I n d e x e s, N o C a c h in g

VS.

“With lightening fast scan speed of  up to 100 million rows/second and  enhancements like support for  analytical functions and up to 10x  columnar compression, TimesTen  for in-memory analytics delivers  faster reports & dashboards for  departmental as well as enterprise  wide consumption.” 

“With SAP HANA, we see a tremendous opportunity to dramatically improve our enterprise data warehouse solutions, drastically reducing data latency and improving speed when we can return query results in 45 seconds from BW on HANA vs. waiting up to 20 minutes for empty results from BW on Oracle.” Weijun Zhang  IT Manager  Shanghai Volkswagen 

SAP BW Powered by HANA: APPS TODAY & NEXT GEN PLATFORM Amazing performance. Streamline your landscape.

APPS

BW & ERP

NEXT GEN

Leverage all new business apps & solutions built exclusively for HANA

Starting with BW on HANA today prepares your for the suite on HANA

Literally hundreds of new business applications exclusive to the HANA platform are coming

Today

Future

SAP Business Warehouse

SAP Trade Promotion Mgmt

SAP B1 Analytics

SAP Customer Energy Mgmt.

SAP BPC 10 NW

SAP Planning for Retail

SAP CO-PA Accelerator

SAP Liquidity Risk Management

SAP BusinessObjects BI &

SAP Account Intelligence

SAP Finance and Controlling Accelerator

SAP Customer Value Intelligence

SAP Smart Meter Analytics

SAP Predictive Segmentation

SAP Customer Segmentation Accelerator

SAP Demand Signal Management

SAP Sales Pipeline Analysis

SAP Sales & Operations Planning

SAP Predictive Analytics

SAP Account Intelligence

SAP ERP (Q4 2012)

New Mobile Apps

New Cloud Apps

Third Party Apps

SAP HANA Platform

Exclusive content. Killer apps.

Agenda – SAP NetWeaver BW Powered by SAP HANA

Overview Deep Dive Implementation Next Steps

SAP NetWeaver BW – Fully In-Memory Enabled EDW SAP NetWeaver BW

Data Modeling

SAP NetWeaver BW

DBMS Analytical / Planning Engine

Data Modeling

HANA

Data Management

Analytical / Planning Engine

Relational Database

Data Management

Data Storage

Data Storage

Eliminate Relational DB under BW

OS-DB Migration

In-memory calculation & planning

Database migration is done using standard SAP OS and DB migration tool BI clients

BI clients

BEx Query

SAP BW 7.x

RDBMS

BEx Query

SAP BW 7.3 SP5

BWA

Pre-requisite: SAP HANA 1.0 SPS 03

HANA

Factors Impacting BW Report Speed

Database Access Time

OLAP Computation

Report Rendering

BWA Acceleration

Database Access Time

DB

OLAP Computation

Report Rendering

OLAP Computation

Report Rendering

HANA – In-Memory Acceleration for ALL Content

Database Access Time

OLAP Computation

DB

      P       A       L       O

Report Rendering

Report Rendering

Evolving In-Memory Footprint in SAP BW Overview Data Modeling

Data Persistency and Runtime

  a   r Planning Engine    t   e   a    D  v   a    d   e   n   W Analytic Engine   a   t   e   e   s   N   u   P   o Data Manager    h   A   e    S   r   a   h    W    t    i    W  w   B InfoCubes   a   g    t   n   a   i    l    D  e   e   d   s   o    i DataStore Objects   r   M   p   r   t   e   r    t   a   n   M Data Provisioning    E

BW 7.0 DB + BWA 7.0

BW 7.3 DB + BWA 7.2

BW 7.3 on HANA

in-memory planning engine first calculation scenarios in BWA

additional calculations in-memory

filter + aggregation

MultiProvider handling and flexible joins

Consumption of HANA models in BW

BWA instead of aggregates

BWA-only InfoCubes

In-Memory optimized InfoCubes

BWA reporting for DSOs

reporting + activation for DSOs in-memory HANA data for BW Staging

Superior Reporting Performance Fully leverage HANA In-memory architecture SAP NW BW Query on DSO, BW InfoSet

Query on InfoCube, Masterdata AnalyticIndex, CompositeProvider

SAP HANA SQL Engine

Calc Engine

Aggregation Engine on In-Memory data

In-memo r y column st or e Parallel query execution (MPP) O n-t he-fly aggr egat ion & calculation N EW HANA optimized D SO and InfoC ube object s

Fast er repor t ing for all BW object s - InfoCube, DSO N o indexes, pr e-aggr egat ion, quer y t uning Fewer m at er ialized layer s, less lookup and fast er quer ies

Real-time Data Access Consume HANA Agile/Operational marts in BW Reporting & Analytics Tools SAP BW Query

Query

Composite Provider InfoCube

BW Schema

Transient Info Provider

Replicat e dat a in r eal-t ime int o SA P H A N A operat ional mar t s Build view s in H A N A against operat ional dat a mar t AN D BW schemas

Non-BW data

SAP HANA

Run H A N A operat ional mar t and BW on same H A N A landscape

Real-t im e repor t ing in BW leveraging H A N A oper at ional dat a feeds Sim plified IT landscape for H A N A oper at ional m ar t and BW on HA N A

Simulate Faster and Plan More Frequently Execute calculations & planning in-memory Reduces netw o r k I/O bet w een A pp Ser ver & D B Reduces lo ad o n A pp Ser ver Per for mance boo st fo r planning capabilit ies like: A ggr egat io n, D isaggr egat io n, for Plan/A ct ual analysis, … Plan wit h lar ger volum es of dat a im proving planning accuracy Plan m or e frequent ly (e.g. daily basis) im pr oving planning speed Plan wit h gr anular inform at ion (SKU or BO M level) im proving insight

Accelerated Planning

user changes a plan value

Traditional Approach 1. Determine the delta

HANA-Based Approach +50

2. Disaggregate (in appl. server)   

per week (52) per branch (500) 26000 combinations / values

1. Determine the delta



+50

2. Send 1 value to DB + instruction to disaggregate and how 3. Disaggregate (in DB engine)

3. Send 26000 values to DB to save



per week (52) per branch (500)



create + save 26000 values



SAP runs SAP End to end financial planning on SAP HANA with SAP Planning and Consolidation and the planning applications kit Challenge 

Planners using their own local, offline, nonintegrated tools with high TCO and high effort for data reconciliation

Goal 

Achieve a planning environment which is meeting both corporate and lines of business demands an environment that is flexible, stable, reliable, scalable and efficient

Solution 

Implemented an integrated corporate and decentralized planning process with SAP Planning and Consolidation 10.0, version for SAP NetWeaver and the planning applications kit running on SAP HANA

Benefits 

Real-time reporting of plan and reference data



More time spent on business analysis - less time spent on data reconciliation

Vision for SAP Planning and Consolidation, version for SAP NetWeaver  – powered by SAP HANA Key themes, capabilities, and planned innovations Support SAP HANA as the underlying database 



Enablement of customers interested in SAP HANA to move to the new platform Performance gains with SAP HANA  –  Over time and with each support package, the plan is to leverage additional functions of SAP HANA

Further enhancements with SAP HANA 



Accelerated reporting with the SAP Planning and Consolidation application Automated variance analysis (AVA)

Accelerated performance 

Via support packages*

Customer-driven innovations 

Further innovation of SAP Planning and Consolidation on SAP HANA 

Continued leveraging of SAP HANA to improve performance for other calculation-intensive functionality  –  Consolidations  –  Logic scripts and allocations  –  Business rules  –  Driver-based planning

Delivery of innovative functionality to address business needs

*Planned future release, subject to change and including support and enhancement packs

NearToday term (plan)

Short term (plan) Planned innovations

Midterm (plan) Future vision

Reduced Load Windows DSO activations & transformations In-memory D elt a calculat ion com plet ely int egr at ed in H A N A N o round tr ip betw een BW and database which eliminates I/O overhead

Speeds up dat a st aging; DSO 5x-10x, InfoCube loading by 80% Fast er t o build and m aint ain flat t ened in-m em or y BW dat a object s A void st or age of r edundant dat a layers

Greater modeling flexibility In-memory optimized flattened InfoCube object MD

M D

MD

D Facts

F

M D

E

F

Migration / New

Facts

D MD

MD

M D

M D

Fast dat a loads (no D IMIDs) up t o 80% t im e reduct ion N o physical dim ensions sim plifies m odeling and fast er changes A ll processes, all Q uer ies and Mult iProvider s can r emain unchanged

Agenda – SAP NetWeaver BW Powered by SAP HANA

Overview Deep Dive Implementation Next Steps

Netweaver BW on HANA Solution Planning 3 Clear Steps with SAP Consulting Your p ath t o a successful deploym ent o f SAP NetW eaver BW pow ered by SAP HANA f ollo w s a 3-st ep p ro cess…

Migration Strategy

 Deployment

Options

 – Full Migration  – Phased Migration  – Mixed Environment  Migration

Steps

Full Migration

Source Applications

BW BW 7.37.01 SP5+ HANA RDBMS

BWA

Upgrade Migrate to RDBMS 7.3 SP5+to HANA

Full Migration Considerations 

Performs a migration of a BW system  – Any in memory optimization of objects will occur after migration  – By definition there is no partial migration  – Standard practice

Phased Migration

Source Applications

Migrate

BW 7.x/3.5

BW BW7.3 7.3SP5+ SP5+ .

Content HANA RDBMS

BWA

Retire Old BW

Introduce New BW on HANA

Phased Migration Goal: Operate two instances of BW and migrate content over time Potential Benefits  – Source BW may not need to be upgraded to 7.3 SP5  – In Memory Optimization can be done during migration  – Can optimize BW processes during migration (learning curve)  – Can manage BW upgrade costs  – Consider HANA Custom Data Mart Scenarios (e.g. Operational RDS)  Possible Drawbacks  – Need to operate multiple BW systems  – Providing combined reporting across BW systems requires design  – Potentially longer project duration/Becomes a mixed environment 

Mixed Environment

Source Applications

Partial Migrate

BW 7.x/3.5

BW BW7.3 7.3SP5+ SP5+ .

Content HANA RDBMS

BWA

Retire BWA

Introduce New BW on HANA

Mixed Environment Goal: Operate two instances of BW Permanently Potential Benefits  – In Memory based BW at a smaller scale.  – Manage BW upgrade costs  Possible Drawbacks  – Need to operate multiple BW systems (though typical for many customers)  – Providing combined reporting across BW systems requires some design 

Migration Strategy

 SAP

HANA Landscape Evolution – for review  Deployment Options  – Full Migration  – Phased Migration  – Mixed Environment  Migration

Steps

Netweaver BW on HANA Solution Planning 3 Clear Steps with SAP Consulting B W o n H A N A So l u t i o n Pl an n i n g Initial advisory design service drives more effective projects and is tailored to individual organizational needs

D e s i g n your path to BW pow ered by HANA • • •

How can I most efficient ly upgrade to BW 7.3? Are there opportuni ties to opt imize my BW system? Do I need to m igrate my security authorizations?

• • •

What are some of t he DB migration considerations I will need to consider? How do I prop erly size my implem entation of HANA? W ill Unicode be a factor for m e?

BW on HANA C o r e A s se s sm e n t

Time to execute. Once to th e required BW support pack, you’re ready for BW on HANA!

P r e p a r e SAP NW BW f or HANA Cu r r e n t St a t e

BW 3.x / 7.x System (Legacy DB/HW)

M i gr a t e t o N W B W f o r HA NA B W U p g ra d e

B W 7 .3 Prepare

BW 7.3 (Legacy DB/HW )

BW on HANA

BW on HANA M i gr a t e

BW 7.3 (HANA)

Netweaver BW on HANA Solution Planning Current State

BW 7 .3

BW 7 .3 o n H A N A

BW 3.x / 7.x

BW 7.3 SP7

BW 7.3 SP7

(Legacy DB/HW)

(Legacy DB/HW)

(HANA)

B W o n H A N A Co r e A s s e ss m e n t

BW on HANA Upgrade

BW on HANA M i gr a t i o n

Use Case Identification

Technical Upgrade

HANA Readiness

Unicode Planning

Unicode Upgrade

BW RDBM S RDS

BW Technical Upgrade

Functional Upgrade

BW Authorizations

Authorizations

BW Data Volumes

BW Data Volumes

Data Flow Analysis

Data Flow Conversion

Se r v i c e s P o r t f o l i o 1.

BW Powered by HANA Pre-defined Planning Assessme nt

Se r v i c e s P o r t f o l i o 1.

SAP HANA Install and Configur ation

2.

SAP Rapid Deploym ent Solution for BW RDBM S to HANA M igration

Se r v i c e s P o r t f o l i o 1.

BW Technical Upgrade Build

2.

Unicode Conversion

3.

BW Aut horizations Build

4.

BW Data Volume Optim ization

5.

BW Functional Upgrade Build includin g InMemory Conversion

Netweaver BW on HANA Solution Planning End to End Time Line Run BW on HANA

Prepare Net w eaver BW for HANA

      s       s       e       n         i         d       a       e         R

Design your Path to BW on HANA

5 - 25 days

10 to 139 Days

40 Days M i n i m u m Co n s id e r a t i o n : 4 5 D a y s

Time Estimate M a x i m u m Co n s id e r a t i o n : 2 0 4 D a y s

Main Landing Page – One Stop and “E2E Guide”

http://www.sdn.sap.com/irj/sdn/edw-ops http://help.sap.com/nw73bwhana#section2

Agenda – SAP NetWeaver BW Powered by SAP HANA

Overview Deep Dive Implementation Next Steps

SAP NetWeaver BW Powered by SAP HANA Value Proposition 1

Supercharge BW with Dramatically Improved Performance

2

Simplified Administration and Streamlined Landscape

3

Unlock The Power of Your Data Across The Enterprise

4

Preserve Your BW Investment without Disruption

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BW on HANA Incentives No better time!

BWA to HANA credit

Implementation services credit

Exchange flexibility

Deploy Now! Rapid Deployment Solutions for HANA

BW to HANA Migration RDS

BW HANA CRM Analytics RDS

BPC for BW on HANA RDS

Sapphire Attend Sapphire and Meet Successful Customers Call Your SAP AE to learn more about  

BWA Conversion Credit HANA powered by BW implementation Credit