SAP in the Cloud for Manufacturers

Henrik Vikberg AWS Industry Lead Manufacturing EMEA

MON AWS in Manufacturing Oct 19

TUE Reinventing Product Design with AWS Oct 20

WED Smart Factory & AWS Oct 21 THU Supply Chain Reinvention Oct 22 FRI SAP in the Cloud for Manufacturers Oct 23

Philippe Sainte-Beuve Solution Architect Lead for France Amazon Web Services

Steve Deliën Chief Technology Architect SAP on Cloud Accenture SAP Business Group

Jonathan Steinert Data Service Group Lead Accenture AWS Business Group

Please post your questions for Q&A into the webinar chat

[email protected] Solution Architect Manager - AWS [email protected] Chief Technology Architect – Accenture SAP Business Group [email protected] Associate Director – Global Data Services Lead - Accenture AWS Business Group SAP & AWS long-term collaboration for 12 years

Amazon EC2

R/3

BW A1/B1 10’s Suite on AnyDB

2008 2012 100’s

2015 2017 HANA 1,000’s Developer Edition 244GB

FAST Migration SAP Cloud Platform 2016 X1 Concur Cloud Native HANA 2018 2TB/14TB

1,000’s

High Memory Instance SAP Analytics 12TB / 24TB 5,000+ Scale Out Industry Solutions 2019 HANA Cloud Cloud 48TB S/4HANA ,100TB BW/4HANA AWS Backint Agent

2020 High Memory Cloud Native S/4Move Instances for HANA High Memory Cloud Native Launch Wizard for SAP 6, 9, 12 TB Data Warehouse Instances for HANA 18, 24 TB As a Service SAP and AWS partnering for innovation

r5 and u6 EC2 instance with Nitro AWS Launch Wizard for SAP SPECIFIC DEVELOPMENTS AWS Backint Agent for SAP ON SAP AWS Appstream for SAP GUI

SAP Analytics Cloud SAP S4/HANA

SAP C4/HANA Hana as a service ( SCP) SAP Cloud Platform RUNS RECENT SAP IoT Core Integration SAP HANA Enterprise Cloud (HEC) ON AWS CO-INNOVATIONS SAP Qualtrics SAP Data Custodian for AWS NS2

SAP Concur SAP C4/Service  Amazon Connect Gigya © 2020, Amazon Web Services, Inc. or its Affiliates. *Exclusively hosted by AWS SAP on AWS customers More than 5,000 active AWS customers run SAP on AWS and over half have deployed SAP HANA-based solutions on AWS

- Cost savings (+36%)

- Improved IT efficiency ( +35%)

- Enhanced security (+24%)

- Improved uptime (+22%)

- Increased customer experience (+18%)

Users What are your What Business is Data sources asking you ? Internal Customers

Increase Inventory Inventory CRM turnaround Managers Location

Utilization Improve Overall Product Orders Equipment Efficiency Managers MES Optimize my industrial Design Demand Forecasts Engineers Demand Backlog processes Open Datasets External Inventory Reduce downtime Customers QMS SCADA Better manage spare parts Dealers Sensors Weather Improve workforce Suppliers SAP productivity

Customers

Users What are your Solution needed Data sources Internal Customers Inventory optimization Inventory CRM Managers Overall Equipment Location Efficiency improvement Utilization Product Orders Managers Process optimization MES

Design Demand Forecasts Engineers Demand Backlog Inventory adjustment Open Datasets External Inventory Customers Failure prediction QMS SCADA Dealers Sensors Spare part Management Weather Suppliers SAP Workforce productivity optimization

Customers

REDUCE RISK INCREASE PRODUCTION Inventory Demand Optimization Forecasting Predictive Yield Maintenance Optimization Step 3 DW BI ALM IoT

ETL Mobile ML Workforce Supply Chain Management Elastic Red- Aurora Lex Optimization Search Shift

API EKS gateway AIM Step 2 DIFFERENTIATION LAYER AWS native Build to change SAP cloud platform

ECC SOH S/4 HANA BWoH BW/4 Third-party APPLICATION LAYER Data lakes OLTP OLTP OLTP OLAP OLAP applications Build to consume

Step 1 INFRASTRUCTURE CORE SERVICES SECURITY AND COMPLIANCE MANAGEMENT TOOLS INFRASTRUCTURE LAYER Build to last

Predicts equipment failure 60-90 days in advance . Runs more production lines in a predictable manner – Analyze data from multi sources

Deployed fully automated inventory management for high moving spare parts.

Reduce refinery downtime with Predictive Maintenance through AWS IoT and Machine Learning services. Automate manual tasks with Robotic Process Automation

Generates real-time report on suppliers components data using AWS datalake which allows to increase stock rotation by 30%

Customers SAP Data Lake Accelerator © 2020, Amazon Web Services, Inc. or its Affiliates. by AABG SAP DATA LAKE ACCELERATOR of data will be created MB every second for 7.5B DIGITAL 1.7 people on the planet1 DISRUPTION Organizations Need to Harness The amount of % the Power & Speed of Data… data coming into 25 organizations has EVERY YEAR OVER OR GET LEFT BEHIND increased by THE LAST FIVE YEARS2

1 Source: DOMO, Data Never Sleeps Report 2 Aberdeen, Big Data Pro-essentials https://www.aberdeen.com/big-datapro- essentials/how-deep-is-the-need-for-data-lakes-in-your-business/ SAP and AWS DATA LAKE Use Cases

• Consolidate data across SAP systems • Predictive maintenance

• Use data lake as archival storage and keep the data • Intelligent Supply Chain Planning available to the end users • Smart fleet management • Combine SAP and non-SAP data • Intelligent Collections • Tap into AI/ML to generate additional insights • Intelligent Payables • Combine SAP Cloud Platform Cloud Foundry on AWS applications with AWS native services

RESULTING IN UNLOCKING THE VALUE OF DATA ARCHITECTURE SAP DATA CONTINUOUS TO BRING DATA EXTRACTION IMPROVEMENT SAP TOGETHER AUTOMATION & DELIVERY Rapidly brings together Sets up an automated Allows for automated DATA LAKE disparate and siloed SAP source system data deployment and reduced data through a model analysis, which flows time for life cycle as new templatized architecture into the automatic functionality is needed to ACCELERATOR that runs across SAP and generation of extraction easily tag, search, share, advanced AWS services services and then publishes transform, analyze and the configuration for the govern specific subsets Delivery accelerator for AWS Data Lake to consume of data setting up a Data Lake in a well-defined zonal and secure architecture, enabling fully automated data Create an enterprise-wide single version Develop a foundation for of truth for corporate reporting building and deploying ML, movement using AWS native IoT and advanced services services Accelerate time and effort required OUTCOMES to set up and configure a data lake and Allow for cloud native reduce deployment costs data agility and AWS ecosystem access Enable near real-time analytics to drive better business decision making SAP DATA LAKE ACCELERATOR PHASED APPROACH: BUILDING A MODERN DATA PLATFORM

RAPID SCALED EVOLVED DATA LAKE BUILD OUT D ATA L A K E D ATA L A K E

PHASE 1 PHASE 2 PHASE 3

QUICKLY SCALE ADOPT GOVERNANCE MANAGE FULLY-GOVERNED DATA a team with the right DevSecOps skills policies to secure and protect data with low friction and on-demand consumption

ARCHITECT DEFINE ACCESS CONTROLS COLLABORATE a modular, scalable data lake, to provide the right data through Data Marketplace separate from core IæT systems to the right people

INGEST RAW DATA ENHANCE TRANSFORM DATA into landing zones free-flowing analytics and intelligence into economic insights for new revenue created from data pool streams and improved customer experiences

▲ SPEED TO MARKET ▲ DATA TRUST-WORTHINESS ▲ GOVERNED DATA ACCESS & DELIVERY

▼ TIME TO INSIGHTS ▲ INNOVATION WITH POLYGLOT DATA ▲ ON-DEMAND DATA CONSUMPTION

▲ FLEXIBLE ARCHITECTURES ▲ DATA-LED DECISION MAKING ▲ DATA MONETIZATION

▼ TCO 17 Data Platform Solution: Capturing, Curating & Consuming Data Leveraging a Data Lake

CREATING A COHESIVE ENTERPRISE DATA PLATFORM

25K 30 MIN 25+ $48M ETL Executions to Execute AWS Glue Savings in A Day AI Models from Days Integrations Software Licenses

from 4 Days to Execute Financial 3 HOURS Reports https://www.youtube.com/watch?v=Uzn8d-PxV30&ab_channel=AWSEvents ACCENTURE AWS TREY TAYLOR RJ BIBBY SAP AWS Global Practice Lead SAP Accenture Global Practice Lead Accenture AWS Business Group Accenture AWS Business Group

[email protected] [email protected]

STEVE DELIEN Chief Technology Architect SAP on Cloud Marius Adrian Batrinu Accenture SAP Business Group EMEA Solutions Architects SAP

[email protected] [email protected]

Philippe Sainte-Beuve JONATHAN STEINERT France Solutions Architect Lead AWS CONTACTS Data Services Group Lead Accenture AWS Business Group [email protected]

[email protected]

GILLES BRETAUDEAU

Go-to-Market Lead -AABG Business Group

[email protected]

GROUP EMAIL

[email protected] Ready to get started?

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Henrik Vikberg Philippe Sainte-Beuve Steve Deliën Jonathan Steinert Industry Lead Solution Architect Lead Chief Technology Data Service Group Lead Manufacturing EMEA AWS for France Architect SAP on Cloud Accenture AWS Business (Moderator) AWS Accenture SAP Business Group Group

MON AWS in Manufacturing Oct 19

TUE Reinventing Product Design with AWS Oct 20

WED Smart Factory & AWS Oct 21 THU Supply Chain Reinvention Oct 22 FRI SAP in the Cloud for Manufacturers Oct 23