Swiss Leaders Dialog Big Data Strategies, 1st-2nd April 2019

Swiss Business Leaders, Solution Providers and Scientists Discuss Big Data Potentials, Business Models and Use Cases. Exponentially increasing internal and external data form the new factor of production. New Big Data technologies enable the analysis of giant amounts of data and the optimization of processes in realtime which leads to new business models and services. There is a big gap between technological possibilities and real business in the field of data analysis and realtime process optimization. Business leaders in many companies are aware of this gap and begin to explore the potentials of Big Data to improve performance and react quicker to market changes.

In fact Big Data technologies will change economic systems fundamentally. Companies adapting Big Data intelligently will accelerate processes, decision making and time-to-market. These companies will have huge advantages in competition. Already today studies and use cases show there is a quick RoI in Big Data projects.
New database systems, linguistic analytics and virtualisation tools demand for faster IT systems, even more network bandwith and giant storage. Cloud will be key since distributed and connected data centers analyse the biggest amount of data in realtime and distribute it to whatsoever device. This cloud focus demands for the highest IT security and IT compliance standards.Big Data market development is also an indicator for the relevance. Global turnover will rise from 10 bln. (2013) to 50 bln. Dollar (predicted for 2017). 45% of European companies started Big Data projects. 75% of German companies explore potential applications. Managers know instinctively there is more business potential in existing data, but ideas and strategies to make commercial use out of this treasure are still missing in many departments – this however is a brilliant prerequisite for two days of managed networking between decision makers from companies buying or selling big data solutions. Key value-ads of Big Data:

Realtime company becomes a reality. All players in all departments have realtime access to the same and comprehensive information.
Detailed realtime performance data enables extended simulations and a quicker time-to-market.
Customer segments can be easily identified and addressed in a better way within the data jungle.
Intelligent analysis and editing of huge data volumes in realtime enables better and faster support for all decision-making.
New business models, products and services

Some examples how business departments benefit from Big Data:

Marketing and sales can adapt their offerings much better to customer segements or individual customers automatically.
Production departments optimise their processes with IoT and M2M solutions. Sensors collect data alongside the supply and production chain as well as in operations. Manufatcuring companies connect all players involved in production and integrate suppliers and business partners.
Highly complex calculations based on Big Data improve processes in finance departments like controlling or reporting.
R&D analyses sensor data from sold products or customer feedbacks given in social media platforms.

Company	Role
Bühler AG	Head of Research and Development
Six AG	Head Innovation Design & Technology
Siemens AG	EVP Global HR Business Partners
UBS AG	Head of Resource Optimisation Modelling
Scout24 Schweiz AG	Head of Business Intelligence
Alpiq AG	Group Cyber Security Officer
Audi AG	Project Lead Digitalisierung Beschaffung
Bern University of Applied Sciences	Scientific Head Department of Economy
Schaeffler Group	Project Portfolio Manager Digitalisierung
Bundesamt für Kommunikation BAKOM	Projektleiter Telecom- und Internetrecht
Oerlikon AG	Head of Group Business Services
Vetter Pharma Fertigung GmbH & CoKG	Vice President Controlling Systeme &BI
Siemens AG	Head High Potential Development
Johnson&Johnson, Cilag Schaffhausen	Head of Calibration
Allianz Suisse	Senior VP Central Functions
Australian Trade & Investment Commission	Senior Investment Manager
eBay	Senior Manager Pricing & Promotions
UBS AG	Program Manager / Head Workforce Analytics Technology
EF- Education First	Business Development Manager
The Adecco Group	Head of Analytics Operations
maxon motor	Head of global digital transformation
DKSH	Vice President, Group Strategy, Digital Business and Analytics
AOK Baden-Württemberg	Head of BI
Merck	Head of Data-driven Solutions, Healthcare Digital
Zurich Insurance Company	Head of Analytics & BI Transformation
The Adecco Group	Head of Data Science
eBay	Senior Manager Marketing Data Analytics
Credit Suisse Asset Management	Director, Head of Technology
AXA Switzerland	CTMO
SAP UK	CTO Data and Database Management
VZUG AG	Head of Electronic & Control Maintenance
Post CH AG	Head of Engagement Management
Johnson & Johnson	Vice President Enterprise Supply Chain Planning
Cohu Inc.	Senior Director Technology and Product Innovation
Shire	Global Head of Business Solutions
Shire	Head of Field Effectiveness, International
GAM Holding AG	Client Director
ABB	Group Vice President Customer Care
Takeda	Head of Strategic Planning
Manor AG	Indirect Procurement Lead
Syngenta Crop Protection AG	Global Head Seedcare Institute Network
Takeda	Associate Director Medical Operations
Amcor Group	Strategic Marketing Director
Medela AG	VP Global Product Management
ABB	Group VP - Global Head of Portfolio and Business Developent, High Voltage Unit
Allergan	CFO International
Schindler	Head of Finance Innovation
Philip Morris	Manager Testing Systems Engineering
HIT Foundation	Chief Data Officer
Post CH AG	Group Business Data Manager

Attendees List (Excerpt)

Company	Role
Bühler AG	Head of Research and Development
Six AG	Head Innovation Design & Technology
Siemens AG	EVP Global HR Business Partners
UBS AG	Head of Resource Optimisation Modelling
Scout24 Schweiz AG	Head of Business Intelligence
Alpiq AG	Group Cyber Security Officer
Audi AG	Project Lead Digitalisierung Beschaffung
Bern University of Applied Sciences	Scientific Head Department of Economy
Schaeffler Group	Project Portfolio Manager Digitalisierung
Bundesamt für Kommunikation BAKOM	Projektleiter Telecom- und Internetrecht
Oerlikon AG	Head of Group Business Services
Vetter Pharma Fertigung GmbH & CoKG	Vice President Controlling Systeme &BI
Siemens AG	Head High Potential Development
Johnson&Johnson, Cilag Schaffhausen	Head of Calibration
Allianz Suisse	Senior VP Central Functions
Australian Trade & Investment Commission	Senior Investment Manager
eBay	Senior Manager Pricing & Promotions
UBS AG	Program Manager / Head Workforce Analytics Technology
EF- Education First	Business Development Manager
The Adecco Group	Head of Analytics Operations
maxon motor	Head of global digital transformation
DKSH	Vice President, Group Strategy, Digital Business and Analytics
AOK Baden-Württemberg	Head of BI
Merck	Head of Data-driven Solutions, Healthcare Digital
Zurich Insurance Company	Head of Analytics & BI Transformation
The Adecco Group	Head of Data Science
eBay	Senior Manager Marketing Data Analytics
Credit Suisse Asset Management	Director, Head of Technology
AXA Switzerland	CTMO
SAP UK	CTO Data and Database Management
VZUG AG	Head of Electronic & Control Maintenance
Post CH AG	Head of Engagement Management
Johnson & Johnson	Vice President Enterprise Supply Chain Planning
Cohu Inc.	Senior Director Technology and Product Innovation
Shire	Global Head of Business Solutions
Shire	Head of Field Effectiveness, International
GAM Holding AG	Client Director
ABB	Group Vice President Customer Care
Takeda	Head of Strategic Planning
Manor AG	Indirect Procurement Lead
Syngenta Crop Protection AG	Global Head Seedcare Institute Network
Takeda	Associate Director Medical Operations
Amcor Group	Strategic Marketing Director
Medela AG	VP Global Product Management
ABB	Group VP - Global Head of Portfolio and Business Developent, High Voltage Unit
Allergan	CFO International
Schindler	Head of Finance Innovation
Philip Morris	Manager Testing Systems Engineering
HIT Foundation	Chief Data Officer
Post CH AG	Group Business Data Manager

Time	Activity
8:00	Visitor Registration
9:00	Opening
9:15	New Data-Based Models and Services at Bühler Manuel Hoehener, Head of Research and Development, Bühler AG
9:50	Leadership and Management in Times of Digital Transformation Markus Schwarzenböck, EVP Global HR Business Partners, Siemens AG
10:25	Coffee Break / Networking
10:40	Networking Session 1 • Supplier Meetings • One-on-one Leader Meetings • Leaders Circle
11:10	Networking Session 2 • Supplier Meetings • One-on-one Leader Meetings • Leaders Circle
11:40	Networking Session 3 • Supplier Meetings • One-on-one Leader Meetings • Leaders Circle
12.10	Networking Session 4 • Supplier Meetings • One-on-one Leader Meetings • Leaders Circle
12:40	Lunch with Networking
13:40	Creating Public Value out of Private Health Data in Switzerland SATW research project: Analyzing the value of private health data for public goals Opportunities and risks Recommendations and government options Communication strategy for anticipated controversial public debates Prof. Dr. Reinhard Riedl, Chief Scientific Officer Department of Economy, Bern University of Applied Sciences
14:20	AI and Big Data in Product Testing Andreas Bursian, Senior Director Technology and Product Innovation, Cohu Inc.
15:00	Networking Session 5 • Supplier Meetings • One-on-one Leader Meetings • Leaders Circle
15:30	Networking Session 6 • Supplier Meetings • One-on-one Leader Meetings • Leaders Circle
16:00	Networking Session 7 • Supplier Meetings • One-on-one Leader Meetings • Leaders Circle
16:30	Networking Session 8 • Supplier Meetings • One-on-one Leader Meetings • Leaders Circle
17:00	Coffee Break / Networking
17:15	Current Trends in Big Data Regulation Jens Kaessner, Project Leader Telecom & Internet Law, Federal Office of Communications OFCOM
18:50	5 years of BI @Scout24 Switzerland: Achievements & Learnings Andreas von Ballmoos, Head of Business Intelligence, Scout24 Schweiz AG
18:30	Apéro at the Hotel Bar - Chill Out After an Exciting Day

Time	Activity
8:30	Balancing Security, Privacy and Ethics Big Data creates hope and fear at the same time. For some it is the oil of the 21st century, for others a fundamental threat. Based on real examples this talk deals with the ethical challenges of Big Data. Beate Fiedler, Group Cyber Security Officer, Alpiq AG
9:05	Data Integration in the Automotive Supply Chain IoT requires a common data quality which is typically not the case Problem: Interface between "external" and "internal" data world Possible solutions Friedhelm Hausmann, Digitalisation of Procurement, Audi AG
9:40	Coffee Break / Networking
10:00	Networking Session 9 • Supplier Meetings • One-on-one Leader Meetings • Leaders Circle
10:30	Networking Session 10 • Supplier Meetings • One-on-one Leader Meetings • Leaders Circle
11.00	Networking Session 11 • Supplier Meetings • One-on-one Leader Meetings • Leaders Circle
11:30	Networking Session 12 • Supplier Meetings • One-on-one Leader Meetings • Leaders Circle
12:00	Lunch with Networking
13:00	Schaeffler's Digital Journey A starting point: Sensor-based warehouses and components New customer needs and digital business models Data Economies Agility, skill shift, mind shift Use Cases: Visual quality control, product development and machine learning Problem: Accessible und machine-readable data Learnings and recommendations for a successful digital transformation Dr. Peter Vatter, Project Portfolio Manager Digitalisation, Schaeffler Group
13:35	Monetizing AI und Machine Learning in Daily Business Adrian Alscher, Head of Resource Optimisation Modelling, UBS AG
14:10	Digital Gold Mining: Think Big, Start Smart From Big Data to Smart Data Organizational prerequisites AI is key Use Cases Gregor Kalberer, Head Innovation Design & Technology, SIX AG
14:45	Big Data in Supply Chain Management - Strategy and Use Cases Wayne Rothman, Vice President Enterprise Supply Chain Planning, Johnson & Johnson
15:20	Wrap-up and Closing

Day 1

Time	Activity
8:00	Visitor Registration
9:00	Opening
9:15	New Data-Based Models and Services at Bühler Manuel Hoehener, Head of Research and Development, Bühler AG
9:50	Leadership and Management in Times of Digital Transformation Markus Schwarzenböck, EVP Global HR Business Partners, Siemens AG
10:25	Coffee Break / Networking
10:40	Networking Session 1 • Supplier Meetings • One-on-one Leader Meetings • Leaders Circle
11:10	Networking Session 2 • Supplier Meetings • One-on-one Leader Meetings • Leaders Circle
11:40	Networking Session 3 • Supplier Meetings • One-on-one Leader Meetings • Leaders Circle
12.10	Networking Session 4 • Supplier Meetings • One-on-one Leader Meetings • Leaders Circle
12:40	Lunch with Networking
13:40	Creating Public Value out of Private Health Data in Switzerland SATW research project: Analyzing the value of private health data for public goals Opportunities and risks Recommendations and government options Communication strategy for anticipated controversial public debates Prof. Dr. Reinhard Riedl, Chief Scientific Officer Department of Economy, Bern University of Applied Sciences
14:20	AI and Big Data in Product Testing Andreas Bursian, Senior Director Technology and Product Innovation, Cohu Inc.
15:00	Networking Session 5 • Supplier Meetings • One-on-one Leader Meetings • Leaders Circle
15:30	Networking Session 6 • Supplier Meetings • One-on-one Leader Meetings • Leaders Circle
16:00	Networking Session 7 • Supplier Meetings • One-on-one Leader Meetings • Leaders Circle
16:30	Networking Session 8 • Supplier Meetings • One-on-one Leader Meetings • Leaders Circle
17:00	Coffee Break / Networking
17:15	Current Trends in Big Data Regulation Jens Kaessner, Project Leader Telecom & Internet Law, Federal Office of Communications OFCOM
18:50	5 years of BI @Scout24 Switzerland: Achievements & Learnings Andreas von Ballmoos, Head of Business Intelligence, Scout24 Schweiz AG
18:30	Apéro at the Hotel Bar - Chill Out After an Exciting Day

Day 2

Time	Activity
8:30	Balancing Security, Privacy and Ethics Big Data creates hope and fear at the same time. For some it is the oil of the 21st century, for others a fundamental threat. Based on real examples this talk deals with the ethical challenges of Big Data. Beate Fiedler, Group Cyber Security Officer, Alpiq AG
9:05	Data Integration in the Automotive Supply Chain IoT requires a common data quality which is typically not the case Problem: Interface between "external" and "internal" data world Possible solutions Friedhelm Hausmann, Digitalisation of Procurement, Audi AG
9:40	Coffee Break / Networking
10:00	Networking Session 9 • Supplier Meetings • One-on-one Leader Meetings • Leaders Circle
10:30	Networking Session 10 • Supplier Meetings • One-on-one Leader Meetings • Leaders Circle
11.00	Networking Session 11 • Supplier Meetings • One-on-one Leader Meetings • Leaders Circle
11:30	Networking Session 12 • Supplier Meetings • One-on-one Leader Meetings • Leaders Circle
12:00	Lunch with Networking
13:00	Schaeffler's Digital Journey A starting point: Sensor-based warehouses and components New customer needs and digital business models Data Economies Agility, skill shift, mind shift Use Cases: Visual quality control, product development and machine learning Problem: Accessible und machine-readable data Learnings and recommendations for a successful digital transformation Dr. Peter Vatter, Project Portfolio Manager Digitalisation, Schaeffler Group
13:35	Monetizing AI und Machine Learning in Daily Business Adrian Alscher, Head of Resource Optimisation Modelling, UBS AG
14:10	Digital Gold Mining: Think Big, Start Smart From Big Data to Smart Data Organizational prerequisites AI is key Use Cases Gregor Kalberer, Head Innovation Design & Technology, SIX AG
14:45	Big Data in Supply Chain Management - Strategy and Use Cases Wayne Rothman, Vice President Enterprise Supply Chain Planning, Johnson & Johnson
15:20	Wrap-up and Closing

Types Of Projects to be Discussed (Excerpt)

Big Data monetization in e-commerce

Technology changes in data analytics, data visualization and analytics delivery models

Enabling business users to do analytics self-service

Future of analytics

Future of work related to analytics

Implementation of Data Analytics within the M&A department

Bridging the current gap between data analysts and C-level management

Identifying Big Data use cases

Consolidation of data infrastructure at group level (global data lake)

Deploy a governance model to maximize the impact and value-add of analytics projects

Establish network of partners to leverage the Big Data ecosystem

Business Intelligence System

AI supported value creation in R&D and Operations

Robotics / Co-bots

IoT

Analytics applications

Monetizing available data

Blockchain use cases

Biometrics use cases

Digital Health

Digital patient engagement

AI and machine learning in healthcare

Predictive medicine

Digital transformation

Campaign measurement

Incrementality

Data visualization

Customer models

Customer lifetime values

Putting data science algorithms in large scale production

Analytics for Customer Experience

Process Optimization

Effective Data Governance

Big Data use cases in Banking

Graph databases

Swiss hosted Cloud Technologies

Machine Learning and AI

Digital Twin Data Modeling

AI Use Cases

Smart Factory

Predictive Maintenance

Sales and CRM optimization through augmented intelligence and more integrated information sharing

Digital transformation project along patient journey

Natural Language Processing

Decision trees and random forests for KOLs management

Data Governance and Big Data Frameworks

Data Science use cases

Multi-channel concepts

AI based automation of procurement processes

Analyzing spend data to support the strategic category management process

AI-powered algorithms for rare diseases diagnosis

Facial recognition for diagnosis

Blockchain solutions for healthcare referral

How to create data lakes without breaking privacy

Potential of Blockchain in corporate strategy

Big Data reference architecture

Building role models for BI, Big Data & Advanced Analytics

AI in HR as a management challenge

AI and Machine Learning in Maintenance

Validating complex models

Analytics / Business collaboration

ERP, accounting and corporate reporting as a source of Big Data

Enabling employees for digital transformation

SAP HANA

Potential and risks of SAP in the cloud

Process automation with AI

How big data technologies can be integrated into smart packaging solutions

Digital transformation

Financial SSC

Digital procurement

Business models (and solutions) with digitally enabled products

Create insights driven organization

Agile delivery of use cases / scrum

Organization ecosystem of internal and external talents to design, develop and market customer centric innovation for developed and emerging markets

B2B digital marketing strategy and best use of marketing automation tools

B2C multi-channel content marketing strategy and best use of digital content assets

Paths to vertical data integration

Build an ecosystem of engineering service providers

IoT big data collection in a regulated environment

You can apply and attend if you are a c-level decision maker and budget owner from a major buying company and want to discuss projects, ideas, solutions and strategies with suppliers and peers in one-on-one and group meetings. Participation is free of charge. Please only apply when you are sure you can make the date. With your registration we start the matching process and other participants will look forward to meeting you. This registration is not for suppliers.

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Business Matching

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Cintelligence was founded by leading experts for networking and business development events.

Our invitation and admissions strategy creates qualified high level experts groups to assure meaningful networking.
As attendee you’ll receive an online questionnaire for your interests and competencies you’d like to share.
Your profile based on the questionnaire will be matched with the profiles of peers and solution partners.
The results of this matchmaking will be documented prior to the event in our online platform, i.e. you’ll see how other members can help you with your challenges or how you can help them.
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According to our experiences self service systems do not work properly for high level business networking since decision makers simply don’t have the time and focus outside their core business. This is why we proactively help our customers to find their meeting partners. Our system guarantees maximum networking results in the most efficient way for decision makers.