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Trends in SAP Cloud, Big Data and In Memory Nag Padmanabhan Director Net4Site Phils.

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Page 1: Trends in SAP Cloud, Big Data and In Memoryusap.org.ph/sites/default/files/presentations/net4site_presentation.pdf · Cloud •Integrate enterprise data with data from sales channels,

Trends in SAP Cloud, Big Data and In Memory

Nag Padmanabhan Director – Net4Site Phils.

Page 2: Trends in SAP Cloud, Big Data and In Memoryusap.org.ph/sites/default/files/presentations/net4site_presentation.pdf · Cloud •Integrate enterprise data with data from sales channels,

Front Office

Back Office (Administration)

Delivery

Transparency Efficiency Adaptability

Page 3: Trends in SAP Cloud, Big Data and In Memoryusap.org.ph/sites/default/files/presentations/net4site_presentation.pdf · Cloud •Integrate enterprise data with data from sales channels,

•Hosted in a world class datacenter

•Subscription Based Pricing

•Multi-tenant, although not necessarily Cloud

• Integrate enterprise data with data from sales channels, supply chain, social media, machine data

•Understanding industry and role relevant KPI’s

•Convert to actionable information as needed

Big Data

•Set of technologies that extend enterprise applications to end users’ mobile devices in a secure, scalable and user friendly manner

•This enhances productivity for field workers and the ability of executives to make timely decisions

Enterprise

Mobility

Page 4: Trends in SAP Cloud, Big Data and In Memoryusap.org.ph/sites/default/files/presentations/net4site_presentation.pdf · Cloud •Integrate enterprise data with data from sales channels,

Front Office

Back Office

Delivery Transparency? Efficiency? Adaptability

Marketing Cloud

Sales Cloud

Service Cloud

Supplier Collaboration

Talent Mgt

Contract Workforce

In Memory Cloud Platform

Powered by HANA

Page 5: Trends in SAP Cloud, Big Data and In Memoryusap.org.ph/sites/default/files/presentations/net4site_presentation.pdf · Cloud •Integrate enterprise data with data from sales channels,

Combining transactions and analytics on a single in-memory platform

Eliminates operational

reporting costs

Eliminates ETL costs

Eliminates data

services costs

One Data Copy

SAP HANA platform

OLAP + OLTP

SAP HANA Simplifies

1010100101010010010100110101101101110100100010011011001

OLTP

ETL

OLAP

Replication Replication

Transactions Analytics

Transactions Analytics

1010100101010010010100110101101101110100100010011011001

Landscape Simplification

Page 6: Trends in SAP Cloud, Big Data and In Memoryusap.org.ph/sites/default/files/presentations/net4site_presentation.pdf · Cloud •Integrate enterprise data with data from sales channels,

Less storage and database administration costs with a single copy of the data

Up to 3x data footprint reduction by eliminating aggregates, indices and

abolishing data duplication for operational

reporting (row / column store)

Additional 4x data footprint reduction through advanced in-memory columnar

compression

Reduction in database administration effort required for tuning, backup and recovery SAP Business Suite

on HANA

SAP Business Suite on Any DB

Indices

Aggregates

Row Store

Data Cubes

70 to 90% Data Footprint

Reduction

DBA DBA DBA DBA

DBA

Data Footprint

Page 7: Trends in SAP Cloud, Big Data and In Memoryusap.org.ph/sites/default/files/presentations/net4site_presentation.pdf · Cloud •Integrate enterprise data with data from sales channels,

Projected operational reporting savings with SAP HANA

4 CPUs (32 Cores)

10 TB Storage

Reporting

Server

$180,000 $320,000

ETL

License

$10K

per Core

Initial Investment Ongoing Annual Costs

Maintenance

Costs

20%

Acquisition Cost

$100,000

Staffing

Costs

1x FT Administrator

1x FT Developer

$300,000

SAP Business Suite on

HANA

SAP Business Suite on any Database

No Additional HW

No Additional SW

No Additional Staff

No Additional

Maintenance

4 Year NPV = $1,740,000

* Cost Assumptions: $25K per CPU. $8K per TB, 8% Cost of Capital, 4 year linear depreciation for initial investment

Landscape Simplification

Page 8: Trends in SAP Cloud, Big Data and In Memoryusap.org.ph/sites/default/files/presentations/net4site_presentation.pdf · Cloud •Integrate enterprise data with data from sales channels,

Less storage and database administration costs with a single copy of the data

Up to 3x data footprint reduction by eliminating aggregates, indices and

abolishing data duplication for operational

reporting (row / column store)

Additional 4x data footprint reduction through advanced in-memory columnar

compression

Reduction in database administration effort required for tuning, backup and recovery SAP Business Suite

on HANA

SAP Business Suite on Any DB

Indices

Aggregates

Row Store

Data Cubes

70 to 90% Data Footprint

Reduction

DBA DBA DBA DBA

DBA

Data Footprint

Page 9: Trends in SAP Cloud, Big Data and In Memoryusap.org.ph/sites/default/files/presentations/net4site_presentation.pdf · Cloud •Integrate enterprise data with data from sales channels,

Forrester projects 49% TCO reduction over 4 years by migrating SAP ERP to SAP HANA compared to HW refresh on Classical DB

Forrester Model Assumptions

-

2,000,000

4,000,000

6,000,000

8,000,000

10,000,000

12,000,000

14,000,000

ERP on Any DB ERP on HANA

Hardware Software Implementation Labor

ERP powered by SAP HANA

ERP on Classical DB

4 Year NPV TCO Comparison

49% Cost

Savings

HW Refresh

for Classical DB

Migrate to

SAP ERP on HANA

Annual ERP on HANA

SW & HW Maintenance

Annual ERP on HANA Maintenance

Annual ERP on Classical

DB SW & HW Maintenance

Year 1 Year 2 Year 3 Year 4

Year 1 Year 2 Year 3 Year 4

Annual ERP on Classical

DB SW & HW Maintenance

Annual ERP on Classical

DB SW & HW Maintenance

Annual ERP on Classical

DB SW & HW Maintenance

Page 10: Trends in SAP Cloud, Big Data and In Memoryusap.org.ph/sites/default/files/presentations/net4site_presentation.pdf · Cloud •Integrate enterprise data with data from sales channels,

S/4HANA – Footprint Reduction (2)

MSEG MARC Master

Data MSEG New

Traditional DB on HANA S/4HANA

593 GB

118.6 GB

42.4 GB

BKPF BSEG BSEG BSEG BSIS BSIS BSIK BSET

COBK COEP LFC1 GLT0 GLT0 GLT0 COSP

MSTQH MSTEH

MSTBH MSSQH MSSAH

MSPRH MSLBH MSKUH

MSKAH

MKOLH

MCHBH MARDH

MARCH

MSTQ MSTE

MSTB MSSQ MSSA

MSPR MSLB

MSKU MSKA

MKOL

MCHB MKPF MARD

SAP Logistics with aggregates and indices SAP Simple Logistics SAP Finance with aggregates and indices SAP Simple Finance

Page 11: Trends in SAP Cloud, Big Data and In Memoryusap.org.ph/sites/default/files/presentations/net4site_presentation.pdf · Cloud •Integrate enterprise data with data from sales channels,

S/4HANA – Footprint Reduction (3)

on HANA S/4HANA Traditional DB

593 GB

118.6 GB

42.4 GB

Current

8.4 GB

current

historical

Page 12: Trends in SAP Cloud, Big Data and In Memoryusap.org.ph/sites/default/files/presentations/net4site_presentation.pdf · Cloud •Integrate enterprise data with data from sales channels,

SAP HANA, the great simplifier of enterprise software

SAP HANA

SAP Business Warehouse powered by SAP HANA

SAP Business Suite powered by SAP HANA

SAP Simple Finance powered by SAP HANA

Real-time analysis

Real-time reporting

Real-time business

OLAP and OLTP together

SAP HANA Enterprise Cloud for SAP Business Suite on SAP HANA

In-memory platform

Instant financial insight

No aggregates

Single source of truth

Simplified data model

New user experience

Advanced processing

Choice of deployment

2011 2013 2012 2014 2015

Page 13: Trends in SAP Cloud, Big Data and In Memoryusap.org.ph/sites/default/files/presentations/net4site_presentation.pdf · Cloud •Integrate enterprise data with data from sales channels,

Services - Building Blocks

How can S4H impact my business?

How to migrate to S4H?

(Existing)

How do realize additional value?

HA

NA

Inn

ova

tio

n A

do

pti

on

How can I run and optimize IT operations?

Identify Value

HANA business scenarios

Simple Finance and Fiori/UX Adoption

SAP Education

Application Management

Strategy and Technical Design for

HANA

What is the plan to realize the vision?

RDS DB Migration to SAP S4H

How to implement

S4H? (New install)

Rapid Data Migration to ERP

Custom Code migration + refactoring

Cash Management

Implement Central Finance

Migrate to New G/L

Technical Implementation for

SAP HANA

How do I implement new innovations?

Installation & Data Transition for

SAP Simple Finance Add-on

Define Fiori/UX Roadmap

Define SAP Simple Finance Roadmap

Business Assessment for

Financial Processes

Design/Deploy Fiori/UX Apps

RDS SAP ERP Foundation Extension

sFin Baseline

sERP Baseline

Q3

Q4

Advise/Plan Build/Launch Run Optimize/Ado

pt

Page 14: Trends in SAP Cloud, Big Data and In Memoryusap.org.ph/sites/default/files/presentations/net4site_presentation.pdf · Cloud •Integrate enterprise data with data from sales channels,

Analysis and Modeling

Data Mining, Statistical/Math Analysis

Predictive Algorithms, R Models

Hypothesis Testing

Decision Model Selection and Implementation

e.g. Scoring Models, Model Comparison

Tools and Technologies

SAP HANA, BI/BO, SAP PA, HANA PAL

Visualization, Dashboards &

Scorecards

Infrastructure

Open Source Big Data Technologies

New Age Unstructured Data

Social Media

Websites

IoT

Structured Enterprise & Business Partner Data

Legacy

ERP

CRM

Cloud Systems

Data Sources

Page 15: Trends in SAP Cloud, Big Data and In Memoryusap.org.ph/sites/default/files/presentations/net4site_presentation.pdf · Cloud •Integrate enterprise data with data from sales channels,

Supplier Network

P2P

Strategic Sourcing

Auctions; Reverse Auctions

Spend Management

Distributor Network

Demand Plan

Q2C

Competitor Info

Primary Sales

Parts & Service

Predictive Analytics

Business Intelligence

Operational Analytics

Weather & other

environmental Info

Page 16: Trends in SAP Cloud, Big Data and In Memoryusap.org.ph/sites/default/files/presentations/net4site_presentation.pdf · Cloud •Integrate enterprise data with data from sales channels,
Page 17: Trends in SAP Cloud, Big Data and In Memoryusap.org.ph/sites/default/files/presentations/net4site_presentation.pdf · Cloud •Integrate enterprise data with data from sales channels,

SAP Netweaver Cloud Integration

Integration Service Running on SAP Netweaver Cloud

Core runtime for processing, transformation and routing of messages

Out-of-the-box connectivity support (WSRM, IDoc, sFTP…)

Eclipse based design time capabilities

Embedded operations cockpit for monitoring and administration

Package Integration

Packaged integration for SAP to SAP (partly via RDS)

Partner ecosystem to build integration content for Non-SAP

Compatibility of message mapping (deploy on Netweaver Cloud Integration and Netweaver PI on-premise)

Use Cases

Sales OD CRM OP

SFSF BizX OD HCM OP

Page 18: Trends in SAP Cloud, Big Data and In Memoryusap.org.ph/sites/default/files/presentations/net4site_presentation.pdf · Cloud •Integrate enterprise data with data from sales channels,

Real live demo system to help customers

HANA Development and migration experience

HANA skilled and experienced consultants

Assist customers with a roadmap to customers for HANA adoption

Help migrate from current ECC to HANA

Technical support teams for ongoing support

HANA knowledge database for Suite on HANA

FIORI and Cloud solutions expertise

Page 19: Trends in SAP Cloud, Big Data and In Memoryusap.org.ph/sites/default/files/presentations/net4site_presentation.pdf · Cloud •Integrate enterprise data with data from sales channels,

Thank you.

Nag Padmanabhan

Email: [email protected]