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Cisco Bridge to SAP HANA Appliances

EBC / Sales Deck

Intelligently Automated

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• BWA is a add-on to SAP BW. InfoCubes are loaded onto a BWA appliance. HANA is an in-memory replacement for SAP BW’s disk database (Oracle DB2, SQLServer)

• Performance for HANA and BWA are similar because they use, in principle, the same in-memory technology

• Why would a customer move to HANA?

Early adoption of the future technology

Laying the groundwork for ERP on HANA

Already on release 7.3

• Why would a customer stay with BW + BWA?

HANA requires a new license

BWA runs on cheaper CPU's than HANA

Customer wants to keep its existing database

BW must be upgraded to release 7.3 to be moved to HANA as DB

• HANA is the future, but transitioning to release 7.3 can take 6 months to 2 years

• Start with BWA on a Cisco Bridge to SAP HANA appliance, and transition to HANA when ready, preserving up to 90% of your hardware investment

Cisco’s Bridge to SAP HANA appliance runs BWA, but it shares the same architecture as Cisco’s HANA Scaleout appliance. Same chassis, Same fabric interconnects, Same switches, Same rack server, Same NetApp storage, Same automation software and benefits.

When reconfiguring our Bridge to SAP HANA appliances from BWA to HANA, all components remain the same, except for the blades, and they can be redeployed

BW 7.x to BW on HANA

Migration in Three Cost-Effective Steps

Bridge to SAP HANA

Implementation

Run BWA

Upgrade to BW 7.3

Database

Conversion

BW on HANA

Implementation

Run HANA

Run In-Memory Queries Now

Save Up to 90%

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For CIO’s

Streamline installation and setup

Fewer staff required to manage the appliance

Field-upgradable from the smallest appliance to the largest, and to HANA Scaleout

Multiple BWA instances in the same appliance

Minimizes down time

Lower operating costs and streamline support

Investment preservation in migrating to HANA

For Business Executives and Users

Provides in-memory query performance now

Ensures that loads are performed without incident

Maximizes performance and utilization

Minimizes down time

Dual 40 Blade Configuration

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Cisco Bridge to SAP HANA

BI Appliance for SAP

Cisco Unified Computing

System (UCS) Server

SAP Business Warehouse

Accelerator (BWA)

NetApp Storage

Cisco Intelligent

Automation for

BWA and HANA

BusinessObjects Explorer

(BOE)

Workload Monitoring: CPU, memory, average index

read time, and more, at the blade level

Automated maintenance, including hardware checks,

firmware updates and file system validation

Configuration management assurance for all appliance

components

Data Services availability and error monitoring for

more reliable ETL

Proactive monitoring for BWA subsystem components

status.

Monitoring query execution response time. using the

BWA index for the query execution BWA Query

Response Time

Executing sample query and records total execution

time and query component performance breakdown

Proactive monitoring of BWA blade TREX services

statistics based on thresholds

Alerting on CPU, Memory, or Throughput thresholds

for TREX services

Automated configuration of RMA blades, so they

become part of the cluster in minutes instead of days

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Standardize BWA support processes

and Automated

maintenance for reduce downtime

Reduced Cost

1

Fewer staff required for appliance

administration frees up valuable resources to work on other activities

Optimized Resources

2

Be ready for business needs Info cubes loaded

and optimized, Monitored for

Availability and Performance

Consistent BI SLA’s

3

Automated Best Practices

Automated Administration

and Maintenance, High Performance,

Increased Availability

Intelligent Automation

4

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• Long-term partnership with SAP spanning three decades

• Accenture and SAP specialists work side by side in our Accenture Innovation Centers for SAP building the next generation of advanced analytics, mobility and cloud solutions integrated within SAP core technologies.

• Our experts in the Innovation Center have been working with HANA technology since early 2011.

• Our Innovation Centers are continually developing industry-specific solutions using HANA technology.

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Test drive your data with HANA or

BW on HANA to validate the

value proposition with a limited

investment, leveraging

Accenture’s infrastructure.

Leverage Accenture’s HANA

Solution Factory in the India

Delivery Center to migrate to BW

on HANA, achieving innovation

without disruption in a cost

effective way.

Accenture can assist you with

defining what HANA is, the

business case for using it, and

how to introduce it into your

organization.

Jump start your implementation

by leveraging Accenture’s pre-

defined use cases, day-in-the-life

scenarios, and expertise.

HANA Awareness & Strategy HANA Pilot Program

HANA Solution Factory HANA Acceleration

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BI 7.0

Without BWA

•Need Query

Performance

Improvement

•Not planning near-term

upgrade to BW 7.3

BW 7.3 without

BWA

•Need Query

Performance

Improvement

•Need Planning, Data

Loading performance

•BW on HANA Ready

Eventually planning

migration to BW on

HANA

Accenture’s HANA Solution Factory in our India

Delivery Center offers organizations the opportunity

to make the transition to BW on HANA at a reduced

cost.

Accenture also offers the HANA High Performance

Pilot for clients who want to validate the value

proposition of BW on HANA before fully investing in

the solution.

Cisco HANA

Appliance

Cis

co

Solu

tions

Cisco BWA

Bridge to HANA

Appliance

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Reporting Performance

Data Access

Planning

Data Loading

Maintenance

Modeling

Slow Performance Faster Reporting with less effort

Data Latency Real Time Data Replication

Limited Planning Fast, Robust Planning

Slow Data Loads Faster Data Loads

Heavy RDBMS Management Simplified Maintenance

Inflexible Modeling Flexibility

Classical Approach

(BW on RDBMS)

In-Memory Approach

(BW on HANA)

Copyright © 2011 Accenture All Rights Reserved.

Flexibility

Speed

Scale

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• Total size of uncompressed data exceeds 5 – 10 TB or HANA memory needs exceeds 1 TB

• High Availability and Fault Tolerant needs

• Real-world examples that would prompt preparation for scale-out:

Analyzing massive amounts of POS data in Retail

Performing Financial Close Process – Profit and Cost Center allocations

Analyzing Energy Consumptions in Utilities – Smart Grid Analytics

Analyzing Pipeline or Market Segmentation in CRM

Manufacturing Production Analytics, Sales & Operations Planning, Predictive Asset Analytics

Thank you.