SAP Modernization with AWS Level 200 Webinar

David Payne, Head of Enterprise Applications and Database Segment, AWS APAC Harpreet Singh, Principal SAP Solution Architect, AWS APAC Kamal Shah, CIO & CISO, Larsen & Toubro Infotech Ltd

Oct 11, 2018

© 2018 Amazon Web Services, Inc. or its Affiliates. All rights reserved. “Our organisation works without barriers, which ensures we are working on the right things and have the right capability to deliver. We are able to quickly ascertain value, we are nimble and move as needed when the market or technology changes. Ultimately, this reduces the risk of large projects that go into a black hole and creates a very visible, flexible and inclusive delivery mechanism focused on value in the hands of the customer. The DX programme has delivered more than 20 functional releases in the first six months of operations, compared to an average of one release per month over the previous year.

Kevin Angland, GM Digital Sservices, Mercury Source: CIO NZ 7/2018

Cost Reduction SAP S/4HANA Rapid innovation Tech refresh

Business expansion Resilience & Security & compliance Corporate restructure (going global) performance

Enable SAP solutions through the

Extend SAP joint certified AWS partners BPO interoperability solutions /AMS and services

Integrate SAP SaaS by enabling the connected Enterprise

Transform to the SAP Digital Core faster Re-platform to achieve immediate cloud benefits without disruption

Service 3 GA + 1 Beta

Machine Learning Security ● User Experience ● Micro-Services Data & Storage ● DevOps Big Data ● Build Integration ● Analytics Amazon API HANA Gateway Extend ● aws Integrate HANA as a Service IoT ● SAP Cloud Platform IoT ● Natural Language Machine Learning ● Analytics ● Total Services 20 Source: sap.com/SAP Cloud Platform regions and service portfolio © 2018 Amazon Web Services, Inc. or its Affiliates. All rights reserved. © 2018 Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon EC2 Instances for SAP HANA Available Now 2 0 19 24  EC2 instances in AWS 18 regions and availability 12 zones 9 6  Available in Amazon VPC TB 2 4 .244 .488 1  API driven

R3 R4 X1 X1 X1e EC2 High Memory Instances  Operate through the AWS Console & CLI/SDK

 Direct hardware access in

SERVER case of Bare Metal

instances SERVER  Elastic Storage Capacity with Amazon EBS

Speed Agility

Security Flexibility

Run SAP on AWS at the core…

ERP Digital Analytics DB & platforms (S/4HANA, ECC, B1…) (hybris Commerce…) (BW, BPC, BI…) (HANA, SCP CF, NW…)

Innovation use cases

AI & ML Big data Data warehousing Virtual desktop IoT (Amazon Workspaces, (Rekognition, Lex…) (Amazon EMR…) (Redshift, DMS, SCT…) (AWS IOT, Lambda…) AppStream 2.0)

Housing & Defence Europe Real Estate North America 13 Sales office 11 Sales office India Information Ship Building 7 Delivery center 3 Delivery center 9 Sales offices and Technology delivery centers

Middle East & S Africa Construction & 6 Sales office Hydrocarbon 1 Delivery Finance South America center & 1 Sales office Insuranc 1 Delivery center APAC e Construction Heavy 5 Sales Equipment Engineering offices and delivery centers Making of an Intelligent LTI & Workplace of future

Digital Business Requirements Technology Enablers IT Modernization Requirements

Create Digital Fabric 1 Business KPI-driven | High Speed Platform | Experience Design | Hyper-Connectivity Faster response to Change in market business Digital Core model

Optimize Enterprise IT 2 Standardization Customer Enhanced Cloud Increased Compute Simplification | Modernization Experience Employee Power Engagement Industrialized Operations | How LTI Intelligent Enterprise works…

Leveraging Intelligent Technology Rebuild the core on S/4HANA Improve surroundings with Intelligent LOB Solutions

Planning Machine Learning LTI 2.0 with

HR Sales Blockchain Spend Management

Internet of Things Employee

Analytics Procureme Supply Engagement nt Chain

Robust Data Management on cloud platform

LTI “Krossover” project news by SAP https://news.sap.com/india/2018/04/23/sap-boosts-digital-transformation-at-lti-with-sap-s-4hana/ LTI Runs SAP S/4 HANA in production on

Availability Extreme Elasticity with Quick enablement of Agility Velocity Organization restructure

Security Auto-scaling Transparency First to in Build Install Program Krossover - One of the Largest S/4HANA Implementation on AWS Instance for 28K+ users

Our Solution Value Delivered

• Implementation of core Modules such as FI, CO, MM, SD, PS and Mini HR on HANA Platform 40% Reduction in processing time for Contract and Project Creation • Deployment of S/4HANA on Cloud (AWS) • Development of UI screens and process to 67% Faster financial closing Integrate Contract Creation and Project Creation • Scalable reporting structure, automated and Seamless Integration with Time Sheet System for Invoicing integrated processes- resource allocation, invoicing, revenue recognition Enhanced user Experience using FIORI

Simplified Process Structure (alignment with Standard SAP)

HR Transactional Data – 10 lakh+ records 28K+ EmployeesLTI Assets 3000+ Contracts 9000+ Projects

MOSAIC Profiler Accelerated transition to MOSAIC Smart Analyzer Template Re-engineering next generation of user S/4HANA Impact Assessment De-customization interface(UI) technologies The right steps have led to benefits realization…

Integrated Contract Shorter Procurement and Project Structure Turnaround time by streamlined to assure Mobile enablement of Operational ease PR/PO Approval

Real Time Availability of Cost plan, Revenue Compliance with GST and profitability of Requirements Projects

Benefits Optimized Invoicing Integrate with Peripheral Process leading to a Systems for Seamless shorter Monthly closure flow of data cycle

Efficient Resource Improved Employee Allocation and improve Experience by overall Productivity Leveraging Fiori, Success Factors and Concur Big Data – SAP Data Lake on AWS

SAP & Amazon Data Lake

Organic revenue growth

24% Organizations that successfully generate business value from their data, will outperform their peers. An 15% Aberdeen survey saw organizations who implemented a Data Lake outperforming similar companies by 9% in organic revenue growth.*

Leaders Followers

*Aberdeen: Angling for Insight in Today’s Data Lake, Michael Lock, SVP Analytics and Business Intelligence

Business Intelligence • Relational data

• TBs scale

• Schema defined prior to data load

• Operational reporting and ad hoc SAP Business warehouse • Large initial CAPEX

OLTP ERP CRM LOB

Business Intelligence Big Data processing, real-time, Machine Learning • Relational and non-relational data

• TBs–EBs scale

• Diverse analytical engines SAP Business Warehouse Data Lake • Low-cost storage & analytics

OLTP ERP CRM LOB Devices Web Sensors Social

Data sources Ingest Transform Analyze Publish Consume

Streaming Amazon Kinesis Perform real-time transformations Amazon Lambda data Data Streams and store the results SAP & Non-SAP Store data in master data data sources set for historical analysis

Amazon Kinesis Amazon EMR Read latest usage data Apps

Amazon DynamoDB functions Structured/Unstructured Structured/Unstructured data IngestData Firehose Transform(Apache Spark) (emrAnalyze-dynamodb-connector) Publish Consume

Ingest data Store data Perform batch transformations Lambda through a Offload to DWH for analytics

variety of Amazon Athena and reporting purposes and Query Federation (COPY) services Interactive SQL from AWS analysis or 3rd party vendors Amazon S3 BI Tools Query data in place using API Gateway (PowerBI, Redshift Spectrum Amazon Redshift Raw data Transformed data Tableau)

Relational Amazon Amazon Data Advanced analytics & AI Machine Learning and AI sources including Query Federation And other AWS Glue (Data Catalog) SAP ..

RelationalContext Amazon IAM, KMS, CloudTrail, CloudWatch

Interactive query service to analyze data in Amazon S3 using standard SQL No infrastructure to set up or manage and no data to load

Query Instantly Pay per query Open Easy

$ SQL

Zero setup cost; just Pay only for queries ANSI SQL interface, Serverless: zero point to S3 and run; save 30–90% on JDBC/ODBC drivers, infrastructure, zero start querying per-query costs multiple formats, administration through compression compression types, and complex joins and data types

Your data

AWS GLUE ETL Web app data

Amazon RDS

Other databases Amazon S3 Amazon S3 AWS GLUE AWS GLUE DATA Amazon Athena SAP HANA in-memory (Raw Data) (Transformed Data) Crawlers CATALOG database platform

On premises data

Streaming data

SAP S/4HANA & AWS IoT

© 2018 Amazon Web Services, Inc. or its Affiliates. All rights reserved. AWS IoT is a fully managed cloud platform that lets connected devices easily and securely interact with cloud applications and other devices.

Securely connect and Extract and Filter data from Create Web and Mobile manage any physical your devices and take Applications that Interact device across multiple action with custom Rules with Devices reliably at networks and protocols any time

Device Gateway Device SDK Device Security Registry Rules Engine Shadow

• Write data to a Kinesis Firehose

delivery stream from a variety of AWS Platform SDKs Kinesis Agent AWS IoT sources • Transform, encrypt, and/or compress data along the way • Buffer and aggregate data by time and size before it is written Amazon Kinesis Firehose to destination • Elastically scale with no resource

provisioning Amazon Amazon Amazon S3 Redshift Elasticsearch Service

IoT Device

IoT Device Kinesis Firehose Splunk

IoT Device

AWS IoT

IoT Device IoT Device

SAP NW Lambda function SAP S/4HANA Gateway

Moving to the edge

AWS Greengrass extends AWS onto your devices, so they can act locally on the data they generate, while still taking advantage of the cloud.

Data processed Data processed locally in the cloud

Collect and prepare Choose and optimize Set up and manage training data your ML algorithm environments for training

Deploy model Scale and manage the Train and tune model in production production environment (iterate, iterate)

Deploy Edge Compute trained model Train model to recognize the AWS cloud product SageMaker Get Get Trigger Show Greengrass Product Product Lambda Product Data Data

DeepLens Product recognized; post JSON MQTT Topic Lambda Web App API Gateway SAP Gateway Lambda payload

Run inference at edge

AWS Marketplace, SAP CAL & SCP CF on Customer Success Stories Proof of Concept AWS AWS Quick Starts

AWS SAP Specialty Migration Acceleration AWS Cloud Economics Professional Services AWS Training Program

Assessment

Technology Implementation solutions

Managed Migration services

Start your journey to the AWS Cloud and make informed decisions about modernisation on AWS:

• AWS Application Services Overview » • AWS Database Services Overview » Access a library of free courses online, with AWS Digital Training. • AWS Development Tools Services Overview » • AWS Analytics Services Overview » • Introduction to AWS Application Discovery Service » • Migrating and Tiering Storage on AWS » Get started today at • VMware Cloud on AWS (Technical) » aws.training »

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