Hana overview

SAP High Performance Analytic

Appliance (HANA)

Overview and Update

Oct, 2010

© 2010 SAP AG. All rights reserved. / Page 2

Why The Need for In-Memory Technology:

Data Explosion


Why The Need for In-Memory Technology

Challenges for both IT and Business

Data Volume

ChallengesReal time access to Operational

Enterprise Systems

Costly for IT

High costs associated to purchase

and maintain hardware to handle ever

increasing data volumes

High TCO to administer/maintain

multiple warehouses and transaction

systems

IT NOT the hero - Dissatisfied

business users

Processing and analysis results

delayed

Data not real time

Challenge for Business

Inadequate access to real time operational

information

Need to react faster to events impacting

operations - long lag time between requests

Need to uncover trends and patterns in an

ad hoc, empowered manner

Need to improve planning, forecasting,

financial close processes, etc because

current approach is too slow, not real time or

not able to blend analytics and operations


Why SAP Applications Powered by In-Memory

Technology

Make Better

Decisions Faster

New ways to look at the

business based on

instant access

Immediate access to

relevant information

React quickly based on

real time information

Less reliance on IT to

gain insight needed

Enable Innovative

New Applications

Combine high volume

transactions with

analytics for improved BI

Accelerate transactional

and operational systems

for real access and

improved decision

making

Enable planning and

forecasting applications

based on real time

operational data

combined with analytics

Reduce IT Burden and

Mitigate risks

Dramatically reduced hardware

and maintenance costs

In Memory solutions based on

proven mature technology

which are easy to implement

Non disruptive and fast to

implement


SAP In Memory Solutions Available Today

SAP Applications Powered by In-Memory Technology

Available Today

● SAP NetWeaver BW Accelerator (BWA)

● SAP BusinessObjects Explorer, accelerated

● SAP CRM Customer Segmentation

● SAP Business ByDesign analytics

● SAP Advanced Planner and Optimizer

● SAP NetWeaver Enterprise Search


Applications Powered by In-Memory Technology

Move From After-Event Analysis

To

Real-Time Decision Making


SAP Solutions With In-Memory Computing

SAP CRM Segmentation For Marketing Users

Leverages TREX/BWA technology to

conduct analysis on prospect master

data

Immediately select specific customer

segment based on unique attributes

from entire SAP CRM customer

database

Associate segmented customers with

campaign in SAP CRM

SAP Business ByDesign - Analytics For Midmarket Businesses

Real-time business insight – powerful

analysis – immediately

All analytical requests processed in “in-

memory” store

Real-time integration of OLTP and “in-

memory” store provided by service

infrastructure

Different front-end preferences


SAP Solutions With In-Memory Computing

SAP Advanced Planner and

Optimizer with liveCache

For Supply Chain Users

Leverages early In Memory technolgy

(LiveCache and MaxDB)

Analyze huge amount of supply chain

data from company and partner

processes

Real time information for planning

issues including supply network

planning, demand planning, production

planning

SAP BusinessObjects Explorer,

Accelerated Version

For Informed Business Users

Simple BI solution to quickly explore and

analyze large data volumes without IT

involvement

Explore data across any data sources for a

360 degree view of the business

Create an informed workforce able to react

quickly to changing market conditions


SAP In-Memory Solutions Available Soon:

SAP High Performance Analytic Appliance (HANA)

SAP High Performance Analytic Appliance (HANA )

HANA is a flexible, multi-purpose, data source agonistic in-memory appliance that combines

both hardware and software components to support a number of valuable use case scenarios.

HANA bundles a number of integrated SAP software components including the in-memory

computing engine, real-time replication service, data modeling and data services. It will be

delivered as an optimized hardware appliance in conjunction with key hardware providers.

HANA enables organizations to analyze business operations based on large volumes of

detailed information in real-time - as it happens.

Individuals can create very flexible analytic models based on real-time data without impacting

backend enterprise applications or data bases.

In-Memory Computing Engine

The next generation high performance in-memory computing engine will leverage SAP „s

latest in-memory technologies such as columnar databases, massively parallel processing

(MPP), in-memory computing, and data compression techniques

It is the major component of HANA and offers data acceleration and management

software in a single integrated environment


Introducing SAP High Performance Analytic

Appliance (HANA)

MDX SQL


Other Applications

Real Time Replication Service

BICS

SAP BusinessObjects

SAP Business

Suite

SAP BW

3Rd Party

HANA

In Memory Database

Calc & Planning

Engine

Data Management

Data Services

HANA Modeling Studio


Introducing the In-Memory Computing Engine

The „Heart‟ of HANA

Delivered without disruption

No need to change IT roadmaps

Preserve investment as new

versions of applications are in-

memory enabled

Next generation High Performance

In-Memory Computing Engine :

a powerful and flexible data calculation engine

supports access via SQL and MDX for clients

like SAP BusinessObjects and Excel

access data from virtually any data source,

including SAP BW

unified information modeling design

environment

a data repository to persist views of business

information

data services functionality



HANA And Related In Memory Solutions

Roadmap

HANA 1.0 - In Memory

Computing Engine

- DS Basic Connectors

- Mini BOE

- Modeling

BWA +

DataServicesBWA

SAP Business

Explorer

Client

SAP Business

Objects BI Clients

(Explorer, Pioneer,

Xcelsius, Excel, )

SAP Business

Objects BI Clients

(Explorer, Pioneer,

Xcelsius, Excel, )

SAP ERP

Real Time

Replication

Service

Cli

en

tsE

ng

ine

Pro

vis

ion

ing

/Co

nte

nt

TODAY

BW

Accelerator

(BWA)

Distribution

Service (DS based)

TODAY

Explorer

Accelerated

TOMORROW

Q1 2011

Scenario 1

ERP Acceleration

TOMORROW

Q1 2011

Scenario 2

Any DataSource

Acceleration

-Any Data-

Data Services

Premium

Connectors

Distribution

Service (DS based)

+ +

+ +

HANA 1.0 - In Memory

Computing Engine

- DS Basic Connectors

- Mini BOE

- Modeling


Multiple Use Case Options Leveraging

HANA As The In-Memory Platform (IMP)

HANA

SAP Business Objects BI

Clients

Planning Simulation

Forecasting

SAP ERP Acceleration

real-time replication

service

DATA SERVICES

Premium connectors &

Content

Any Data Source

Acceleration

Operational Performance Applications


HANA: Real Real-Time Business Analytics

Industry Scenarios

Financial Services

Hedge fund trading analysis .

Real-time systematic risk management and reporting

based on market trading exposure

Consumer Products

Supplier Risk Management

Inventory Recall Reconciliation Product track and

trace

Product Lifecycle and Cost management

EPA standards compliance

On-Shelf Availability Analysis

Real-time Warranty and defect analysis

Retail

Store Operations

Point-of-Sales Retail Sales Analytics

Load Balance Optimization

Real-time completive multi-channel pricing

Product damage, returns and spoilage

Manufacturing

O&G Operational Performance Management

Manufacturing Production and Maintenance Analytics

Real-time Asset Utilization Analytics

Capital Markets Prime Brokerage Analytics

Real-time Analysis Example: Hedge Fund Analysis

edge fund account managers can manage exposure to

currencies, equities, derivatives and other instruments for

hedge fund clients ..


HANA: Real-Time Business Scenarios

Customer Account Management

Business Problem

Provide a reliable risk assessment for accounts

receivable to constantly evaluate accounts under

dispute

Match accounts under dispute management with the

sales pipeline to pro-actively inform the sales person

to avoid further risk

SAP’s Answer: HANA

Organizations can create pro-active alerting allowing

users to react quickly to real-time information

HANA combines different sets of information

allowing user to analyze both past and current

business conditions

Allows organizations to do real time analysis on

information stemming from both transactional and

datawarehouse systems



Supply Chain Management

Business Problem

Management requires full visibility into the supply

and demand chain to gain early warnings for out-

of-stock situations

Today data is being processed in nightly

processes which makes it too late for the

business to react.


Provides the capability to leverage operational

data with close to zero latency combined with

other sources

Empowers business users to analyze information

and react in real time to changing business

conditions



Finance

Business Problem

Due to ever increasing data volumes, financial

controllers have to limit the analysis time frame to

several days instead of months and quarters

Performance implications are leading to delays in

financial period closing


Delivers an in-memory calculation engine with

data compression, that overcomes the challenge

of handling ever increasing data volumes

Large volume data analysis and a flexible

modeling environment means fast close financial

quarters and better visibility into detailed finance

data across broad time periods


There is a significant interest from business

to get agile analytic solutions.

„In a down economy, companies focus on

cash protection.

The decision on what needs to be done to

make procurement more efficient is being

made in the procurement department“.

CEO of a multinational transportation

company Flexibility to analyse business missed by LoB.

„First performance, and the other is flexibility on a

business analyst level, who need to do deep

diving to better understand and conclude. The

second would be that also front-end tools are not

providing flexibility“.

Executive of a global retail company

Traditional data warehouse processes are

too complex and consume too much time

for business departments.

„ The companies […] were frustrated with usual

problems […] difficulty to build new information

views. These companies were willing to move

data […] into another proprietary file format […].

Business Analyst

HANA Data Marts

Giving The Agility Needed For Fast Changing Conditions

Current EDW based data models ensure reliable information quality and one version of the

truth

However, organizations often require the need for greater agility and flexibly when analyzing

business operations in fast changing market environments

What is Needed:

Fast and easy creation of ad-hoc views on business

Extreme performance when using ad-hoc models against large detailed data

Access to real-time information coming from any source

Support for data dependent and independent analytical needs


HANA for Agile Operational Analytics

Scenario

Replication of operational data into memory

New Business Content provides immediate

access to analytic models on operational data

Modeling environment enables customization

of content and creation of new models

Benefits

Outstanding query performance on operational

data

High flexibility to create new models or to

customize SAP Business Content

No materialization of analytic models

Direct access for SAP„s BI clients and MS

Excel

Risk free passage to in-memory computing

HANA

SAP ERP

replicate

HANA

modeling

SAP BusinessObjects and other Applications

SQ

L

MD

X

BIC

S


HANA For Mixed SAP/Non SAP Environments

Scenario

Enrich and combine SAP Business Suite data

with non-SAP data

Large volume of detailed data loaded into

memory (point of sales data, call detail

records, smart meter data, etc)

Flexible models on top of detailed data created

by business analysts

Benefits

Outstanding query performance on detailed

data

High flexibility to create analytic models

No materialization of analytic models


Excel

HANA

3rd partyETL

HANA

modeling


SQ

L

MD

X

BIC

S

SAP ERP

replicate

Note: For companies not running SAP and in need of high performance

analytics, SAP recommends Sybase IQ


HANA for Agile Data Marts

Scenario

Enrich and combine SAP Business Suite data

with SAP BW data

Load selected analytic models from SAP BW

into the agile data mart environment

Flexible remodeling and extension of loaded

analytic models

Benefits

Outstanding query performance

High flexibility to create new models

Additional data can be loaded from any source

and merged with BW data


Excel

HANA

SAP ERP

SAP BW

replicate

HANA

modeling


SQ

L

MD

X

BIC

S

ETL

Note: For organizations with a single purpose need to improve performance

in SAP BW, SAP continues to recommend the SAP BW Accelerator (BWA)


Options for ERP Customers

1. HANA Today - Put an In Memory Platform alongside your ERP

applicaton

2. HANA Tommorrow - Move to an In Memeory Platform (IMP)

DB

ERP BOBJ / Excel

HANA

ERP

DBreal-time

DB

ERP BOBJ / Excel

HANAERP


Options for Current BW and BWA Customers

Transition To an In Memory Platform

BW

BOBJ / Excel

HANA/

In Memory Computing Engine

BOBJ / Excel

DB BW

BWA

DB


Key Benefits delivered by SAP HANA

Empower Your Organization

Reduced reliance on IT resources

Real-time visibility to complete data for transaction and analytics processing

Enable a 360 degree view of your business

Analytics for Operational Data

Go from “What happened yesterday” to Real time

Close to zero latency

Ability to leverage and analyze large volumes of data

Low TCO

Non-Disruptive to your existing EDW Strategy

Low TCO by leveraging the latest technology and delivery as pre-configured appliance


Thank You

Education

Hana overview