Siemens Analytics Lab March 2018 Lisbon Siemens 2018

Siemens Analytics Lab March 2018 │ Lisbon © Siemens, 2018 Miguel Batista

Agenda - Siemens - Analytics Lab - Some projects Page 2 02. 12. 2020 GS IT TRA

Milestones of a 170 -year history 1816 – 1892 Company founder, visionary and inventor Werner von Siemens Page 3 1866 1959 1983 2012 The dynamo makes electricity part of everyday life SIMATIC makes Siemens a leader in automation technology First magnetic resonance imaging scanner goes into operation Test operation of the world’s largest rotor for offshore wind turbines Siemens innovations over the past 170 years 1847 1925 1975 2010 2017 Pointer telegraph lays the foundation of Siemens as a global company Siemens electrifies the Irish Free State with a hydroelectric power plant Breakthrough of high-voltage direct current (HVDC) transmission TIA Portal takes automation a stage further Mind. Sphere, the cloud-based operating system for the Internet of Things 02. 12. 2020 GS IT TRA

Company structure Our Business Divisions Separately managed Power and Gas (PG) Energy Building Mobility Management Technologies (MO) (EM) (BT) Digital Factory (DF) Process Industries and Drives (PD) Siemens Healthineers Siemens Gamesa Renewable Energy Financial Services (SFS) Power Generation Services (PS) Global Services Information Technology (GS IT) Infrastructure Page 4 02. 12. 2020 Cyber Security Business Intelligence Software Development (…) GS IT TRA

Global Services Business Intelligence BUSINESS INTELLIGENCE APPLICATION DEVELOPMENT _ 30+ applications with 25. 000+ users worldwide PROCESS MINING WITH CELONIS BI DATA LAKE “single source of truth” 70+ SAP & other systems replicated in real time PLATFORM MANAGEMENT _ Tableau, Qlik. View, R, AWS, SAP HANA, etc. APPROX. 360 BILLION RECORDS JAN. ’ 18 Financials Logistics Page 5 Plants Projects 02. 12. 2020 ADVANCED ANALYTICS _ Analytics Lab GS IT TRA

“We have lots of data – now what? ” > Analytics Lab Key enablers for analytics success! Platforms & Technology Customer Focus _ Team of data scientists working in parallel in Lisbon and Munich _ Typical skill set is python, R, SQL, quantitative background _ Working on answering business questions and foster data driven decision making _ Enhancing business processes with new technology trends, e. g. blockchain Culture Skills Restricted © Siemens AG 2018 Page 6 02. 12. 2020 GS IT TRA

> Analytics Lab Landscape Raw data from BA DAsh & SAP Final model as R/py object • Current solution to deliver report to the end customer Data preparation procedures . . . Generated features Modeling • All analytics delivered inside SAP HANA Restricted © Siemens AG 2018 Page 7 02. 12. 2020 GS IT TRA

> Analytics Lab Customer retention monitor • The application’s objective is to identify customers that will churn, allowing for early actions to prevent this from happening. • Main data transformation are built using SAP Hana and machine learning is done using R (H 2 O and base libraries for minor data transformations). • Results are displayed in a qlikview dashboard. Restricted © Siemens AG 2018 Page 8 02. 12. 2020 GS IT TRA

> Analytics Lab Cross sales • This application generates meaningful recommendations for specific business units and targeting specific users. • Assess product similarities based on basket contents. • Offers a high degree of customization (customer role, customer industry, basket length, …). • Analysis is based on different product categories. • Validation currently being performed by sales reps teams. Restricted © Siemens AG 2018 Page 9 02. 12. 2020 GS IT TRA

> Analytics Lab Purchase to payment process automation • There is a chain of events, when processing purchase orders: order creation, goods receipts, reversals, invoices, . . . • Usually there is a high latency due to human interaction. • Master and transactional data provide additional information to a usually well behaved chain of events. • After feedback from customer, a pilot application is being developed: a bot will be able to automate some events on the application layer. Restricted © Siemens AG 2018 Page 10 02. 12. 2020 GS IT TRA

> Analytics Lab Other projects • Daily sales: forecasts expected figures for months-end revenue for specific business units • Travelling analytics: minimize routes for field engineers, performing routine maintenance. • Late delivery monitor: When a new order arrives the model evaluates the probability of the order being delivered in time based on the order. • Internal job matching: aim is to provide the best match betweeen an employee and internal job offers. • Blockchain prototypes: build smart contracts for transport orders and automatic choice of forwarders. Restricted © Siemens AG 2018 Page 11 02. 12. 2020 GS IT TRA

> Questions Thank you. Any questions? _ Miguel Batista _ miguel. batista@siemens. com Restricted © Siemens AG 2018 Page 12 02. 12. 2020 GS IT TRA