BW on hana - 2012

© 2012 SAP AG. All rights reserved. 1

SAP Business Warehousepowered by

SAP HANA


Agenda – SAP NetWeaver BW Powered by SAP HANA

Overview

Deep Dive

Implementation

Next Steps


?In a Perfect World ...

Cost-effective Management of Large

Data Volumes

Current and Complete Information

Immediate Answerto Any Question

??


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

In-Memory

Row +

Column Database

Massively Parallel

Processing

Calculation Engine

Columnar storage increases the amount of data that can be stored in limited memory

(compared to disk)

Column databases enable easier parallelization of

queries

Row database fast transactional processing

In-memory processing gives more time for

relatively slow updates to column data

In-memory allows sophisticated calculations

in real-time

MPP optimized software enables linear performance scaling

making sophisticated calculations like allocations possible


Preconfigured Analytical ApplianceIn-Memory software + hardware(HP, IBM, Fujitsu, Cisco. Dell, Hitachi)

In-Memory Computing Engine SoftwareData Modeling and Data Management

Real-time Data Replication Services

Data Services for ETL capabilities

Capabilities EnabledAnalyze 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 currentapplications in category

Minimizes data duplication

SAP In-Memory Appliance (SAP HANA)Architecture

MDX SQL BICSSQL

ModelingStudio

Real–Time Replication

Services

Data Services

SAP HANASAP HANA

Other Applications SAP BusinessObjects

SAP NetWeaverBW

SAP Business Suite 3rd Party

In-Memory Computing Engine

Calculation and Planning Engine

Row & Column Storage


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 riseTraditional RDBMS under SAP BW not keeping up with todays business climate


SAP BW powered by HANA is thenext step for your business

IT Value Today

New Apps in 2012

Business Value Today

Next Gen Platform


INSIGHTUnlock new insights with the most powerful analytics available

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

RESPONSIVE10x faster decisions makes you more agile than the competition

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


“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 PresidentGM Global Applications DevelopmentLenovo


AGILEEliminate constant remodeling, enable self-service BI

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

SIMPLELower cost of ownership & reduce administrative tasks with no disruption

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


SAP BW powered by HANA Benchmark: 1000X better!

SAP HANA100B uncompressed rows per second100 TB Benchmark100B Sales and Distribution Records16 Node IBM X5 $640K

Data Loading: 16M per minute with 20x compressionBW Workload: 300ms - 500msAd-Hoc Analytics: 800ms to 2s

No Database Tuning, No Indexes, No Caching

VS.

Oracle“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, TimesTenfor 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 ZhangIT ManagerShanghai Volkswagen


APPSLeverage all new business apps & solutions built exclusively for HANA

BW & ERPStarting with BW on HANA today prepares your for the suite on HANA

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

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


SAP BPC 10 NW

SAP Finance and Controlling Accelerator

SAP Smart Meter Analytics

SAP Sales Pipeline Analysis

SAP Predictive Analytics

SAP Customer Segmentation Accelerator

SAP HANA Platform

SAP Business Warehouse

SAP BusinessObjects BI &

SAP CO-PA Accelerator

SAP B1 Analytics

Third Party Apps

SAP ERP (Q4 2012)

Today

New Cloud Apps

New Mobile Apps

SAP Planning for Retail

SAP Customer Value Intelligence

SAP Predictive Segmentation

SAP Sales & Operations Planning

SAP Account Intelligence

SAP Demand Signal Management

SAP Account Intelligence

SAP Liquidity Risk Management

SAP Customer Energy Mgmt.

SAP Trade Promotion Mgmt

Future

Exclusive content. Killer apps.



Overview

Deep Dive

Implementation

Next Steps


Eliminate Relational DB

under BW

OS-DB Migration

In-memorycalculation &

planning

SAP NetWeaver BW

Data Modeling

HANA

Data Management

Data Storage

Analytical / PlanningEngine

DBMS

SAP NetWeaver BW

Data Modeling

Analytical / PlanningEngine

Relational Database

Data Management

Data Storage

SAP NetWeaver BW – Fully In-Memory Enabled EDW


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

SAP BW 7.x

RDBMS

SAP BW 7.3 SP5

HANABWA

BI clients BEx Query BI clients BEx Query

Pre-requisite: SAP HANA 1.0 SPS 03


Factors Impacting BW Report Speed

Database Access Time OLAP Computation Report

Rendering


BWA Acceleration


Rendering

DB OLAP Computation ReportRendering


HANA – In-Memory Acceleration for ALL Content


Rendering

DB

OLA

P ReportRendering


Evolving In-Memory Footprint in SAP BWOverview

Planning Engine

Data Manager

InfoCubes

DataStore Objects

Analytic Engine

Data Persistency and Runtime

Data Modeling

Ent

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ise

Dat

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BWA instead of aggregates

filter + aggregation

BWA-only InfoCubes

BWA reportingfor DSOs

reporting + activation for

DSOs in-memory

in-memory planning engine

first calculation scenarios in BWA

additionalcalculations in-memory

MultiProviderhandling and flexible joins

BW 7.0DB + BWA 7.0

BW 7.3DB + BWA 7.2 BW 7.3 on HANA

Data Provisioning

In-Memory optimized InfoCubes

Consumption of HANA models in

BW

HANA data forBW Staging


SAP NW BWQuery on InfoCube,

MasterdataAnalyticIndex,

CompositeProvider

Query on DSO, BW InfoSet

SAP HANA SQL Engine Calc Engine

Aggregation Engine on In-Memory data

Superior Reporting Performance

In-memory column store

Parallel query execution (MPP)

On-the-fly aggregation & calculation

NEW HANA optimized DSO and InfoCube objects

Fully leverage HANA In-memory architecture

Faster reporting for all BW objects - InfoCube, DSONo indexes, pre-aggregation, query tuning

Fewer materialized layers, less lookup and faster queries


Real-time Data Access

BW Schema Non-BW data

InfoCubeTransient

Info Provider

Composite Provider

Query QuerySAP BW

SAP HANA

Reporting & Analytics Tools

Replicate data in real-time into SAP HANA operational marts

Build views in HANA against operational data mart AND BW schemas

Run HANA operational mart and BW on same HANA landscape

Consume HANA Agile/Operational marts in BW

Real-time reporting in BW leveraging HANA operational data feedsSimplified IT landscape for HANA operational mart and BW on HANA


Simulate Faster and Plan More Frequently

Reduces network I/O between App Server & DB

Reduces load on App Server

Performance boost for planning capabilities like: Aggregation, Disaggregation, for Plan/Actual analysis, …

Execute calculations & planning in-memory

Plan with larger volumes of data improving planning accuracyPlan more frequently (e.g. daily basis) improving planning speed

Plan with granular information (SKU or BOM level) improving insight


Accelerated Planning

Traditional Approach

1. Determine the delta +50

2. Disaggregate (in appl. server)per week (52)per branch (500)26000 combinations / values

3. Send 26000 values to DB to save

HANA-Based Approach

1. Determine the delta +50

2. Send 1 value to DB + instruction to disaggregate and how

3. Disaggregate (in DB engine)per week (52)per branch (500)create + save 26000 values

user changesa plan value


SAP runs SAPEnd to end financial planning on SAP HANA with SAP Planning and Consolidation and the planning applications kit

ChallengePlanners using their own local, offline, non-integrated tools with high TCO and high effort for data reconciliation

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

SolutionImplemented an integrated corporate and de-centralized planning process with SAP Planning and Consolidation 10.0, version for SAP NetWeaver and the planning applications kit running on SAP HANA

BenefitsReal-time reporting of plan and reference data

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


Planned innovations Future visionToday

Vision for SAP Planning and Consolidation, version for SAP NetWeaver – powered by SAP HANA

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 performanceVia support packages*

Customer-driven innovations

Delivery of innovative functionality to address business needs

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

Near term (plan) Short term (plan) Midterm (plan)

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

Key themes, capabilities, and planned innovations


Reduced Load Windows

Delta calculation completely integrated in HANA

No round trip between BW and database which eliminates I/O overhead

DSO activations & transformations In-memory

Speeds up data staging; DSO 5x-10x, InfoCube loading by 80%Faster to build and maintain flattened in-memory BW data objects

Avoid storage of redundant data layers


Greater modeling flexibility

FactsD

D

MD MD

MD MD

Migration / NewFacts

MD

MD

MD

MD

F FE

In-memory optimized flattened InfoCube object

Fast data loads (no DIMIDs) up to 80% time reductionNo physical dimensions simplifies modeling and faster changes

All processes, all Queries and MultiProviders can remain unchanged



Overview

Deep Dive

Implementation

Next Steps


Netweaver BW on HANA Solution Planning3 Clear Steps with SAP Consulting

Your path to a successful deployment of SAP NetWeaver BW powered by SAP HANA follows a 3-step process…


Migration Strategy

Deployment Options–Full Migration–Phased Migration–Mixed EnvironmentMigration Steps


HANA

Full Migration

Source Applications

BW 7.01

BWARDBMS

Upgrade to 7.3 SP5+

BW 7.3 SP5+

Migrate RDBMS to HANA


Full Migration

ConsiderationsPerforms 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

HANA

BW 7.3 SP5+

BWARDBMS

BW 7.x/3.5

Introduce New BW on HANA

Migrate

ContentBW 7.3 SP5+ .

Retire Old BW


Phased Migration

Goal: Operate two instances of BW and migrate content over timePotential 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

BWA

Source Applications

RDBMS

BW 7.x/3.5

HANA

BW 7.3 SP5+

Introduce New BW on HANA

Partial Migrate

ContentBW 7.3 SP5+ .

Retire BWA


Mixed Environment

Goal: Operate two instances of BW PermanentlyPotential Benefits– In Memory based BW at a smaller scale.– Manage BW upgrade costsPossible 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 reviewDeployment Options–Full Migration–Phased Migration–Mixed EnvironmentMigration Steps


BW on HANA Solution Planning

Initial advisory design service drives more

effective projects and is tailored to individual organizational needs

• How can I most efficiently upgrade to BW 7.3?• Are there opportunities to optimize my BW

system?• Do I need to migrate my security

authorizations?

• What are some of the DB migration considerations I will need to consider?

• How do I properly size my implementation of HANA?

• Will Unicode be a factor for me?

Design your path to BW powered by HANA

Time to execute. Once to the required BW

support pack, you’re ready for BW on

HANA!BW 3.x / 7.x

System(Legacy DB/HW)

BW 7.3 (Legacy DB/HW)

BW Upgrade

Migrate to NW BW for HANAPrepare SAP NW BW for HANA

Current State BW on HANA

BW 7.3 (HANA)

Netweaver BW on HANA Solution Planning3 Clear Steps with SAP Consulting

BW 7.3 Prepare

BW on HANA Migrate

BW on HANA Core Assessment


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

Current State

BW 7.3 SP7(Legacy DB/HW)

BW 7.3 BW7.3 on HANA

Netweaver BW on HANA Solution Planning

BW 7.3 SP7(HANA)

BW on HANA Core Assessment

Use Case Identification

Unicode Planning

BW Technical Upgrade

BW Authorizations

BW Data Volumes

Data Flow Analysis

Technical Upgrade

Unicode Upgrade

Functional Upgrade

Authorizations

BW Data Volumes

Data Flow Conversion

BW on HANA Upgrade

HANA Readiness

BW RDBMS RDS

BW on HANAMigration

Services Portfolio

1. BW Powered by HANA Pre-defined Planning Assessment

Services Portfolio

1. BW Technical Upgrade Build 2. Unicode Conversion

3. BW Authorizations Build

4. BW Data Volume Optimization5. BW Functional Upgrade Build including In-

Memory Conversion

Services Portfolio

1. SAP HANA Install and Configuration2. SAP Rapid Deployment Solution for

BW RDBMS to HANA Migration


5 - 25 days 10 to 139 Days 40 Days

Read

ines

s

Time EstimateMinimum Consideration: 45 Days

Maximum Consideration: 204 Days

Design your Path to BW on HANA

Prepare Netweaver BW for HANA

Run BW on HANA

Netweaver BW on HANA Solution PlanningEnd to End Time Line


Main Landing Page – One Stop and “E2E Guide”

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



Overview

Deep Dive

Implementation

Next Steps


SAP NetWeaver BW Powered by SAP HANAValue Proposition

Supercharge BW with Dramatically Improved Performance

Simplified Administration and Streamlined Landscape

Unlock The Power of Your Data Across The Enterprise

Preserve Your BW Investment without Disruption

1

2

3

4


BW on HANA Incentives No better time!

BWA to HANA credit

Implementation services credit

Exchange flexibility


Deploy Now!Rapid Deployment Solutions for HANA

BW HANA CRM Analytics RDS

BPC for BW on HANA RDS

BW to HANA Migration RDS


Sapphire

Attend Sapphire and Meet Successful Customers

Call Your SAP AE to learn more aboutBWA Conversion CreditHANA powered by BW implementation Credit


SAP HANA

BW on hana - 2012

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