Big Data and Advanced Analytics in a strategic business perspective. For the fourth time Swiss corporate decision makers meet at the country's leading digitization summit. Join in and discuss business models, trends and technologies in one-on-one and group meetings with peers and consultants. Be inspired by Switzerland's most exciting use cases. Two days of intensive networking and compressed knowledge transfer.

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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.

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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.


Manuel Hoehener
Head of Research and Development
Bühler AG

New Data-Based Models and Services at Buhler

Imai Jen-La Plante
Chief Innovation Officer
Berney Associés 

Big Data & Blockchain

  • Opportunities and challenges of data sharing
  • Blockchain as a data source​
  • Planning for the near and long term


Gregor Kalberer
Head Innovation Design & Technology
SIX AG

Digital Gold Mining: Think Big, Start Smart

  • Organizational prerequisites
  • AI is key
  • Use Cases


Adrian Alscher
Head of Resource Optimisation Modelling
UBS AG

Monetizing AI und Machine Learning in Daily Business


Markus Schwarzenböck
EVP Global HR Business Partners
Siemens AG

Leadership and Management in Times of Digital Transformation


Beate Fiedler
Group Cyber Security Officer
Alpiq AG

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.


Friedhelm Hausmann
Digitalisation of Procurement
Audi AG

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


Andreas von Ballmoos
Head of Business Intelligence
Scout24 Schweiz AG

5 years of BI @Scout24 Switzerland: Achievements & Learnings


Andreas Bursian
Senior Director Technology and Product Innovation
Cohu Inc.

AI and Big Data in Product Testing


Dr. Peter Vatter
Project Portfolio Manager Digitalisation
Schaeffler Group

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


Jens Kaessner
Project Leader Telecom & Internet Law
Federal Office of Communications OFCOM

Current Trends in Big Data Regulation

  • Data ownership makes no sense
  • Will we have a right to transfer data?
  • Open Government Data
  • Future government promotion of the data economy

 

 


Wayne Rothman
Vice President Enterprise Supply Chain Planning
Johnson & Johnson

Big Data in Supply Chain Management - Strategy and Use Cases


Prof. Dr. Reinhard Riedl
Chief Scientific Officer Department of Economy
Bern University of Applied Sciences

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

CompanyRole
Bühler AGHead of Research and Development
Six AGHead Innovation Design & Technology
Siemens AGEVP Global HR Business Partners
UBS AGHead of Resource Optimisation Modelling
Scout24 Schweiz AGHead of Business Intelligence
Alpiq AGGroup Cyber Security Officer
Audi AGProject Lead Digitalisierung Beschaffung
Bern University of Applied SciencesScientific Head Department of Economy
Schaeffler GroupProject Portfolio Manager Digitalisierung
Bundesamt für Kommunikation
BAKOM
Projektleiter Telecom- und Internetrecht
Oerlikon AGHead of Group Business Services
Vetter Pharma Fertigung
GmbH & CoKG
Vice President Controlling Systeme &BI
Siemens AGHead High Potential Development
Johnson&Johnson, Cilag
Schaffhausen
Head of Calibration
Allianz SuisseSenior VP Central Functions
Australian Trade &
Investment Commission
Senior Investment Manager
eBaySenior Manager Pricing & Promotions
UBS AGProgram Manager / Head Workforce Analytics Technology
EF- Education FirstBusiness Development Manager
The Adecco GroupHead of Analytics Operations
maxon motorHead of global digital transformation
DKSHVice President, Group Strategy, Digital Business and Analytics
AOK Baden-WürttembergHead of BI
MerckHead of Data-driven Solutions, Healthcare Digital
Zurich Insurance CompanyHead of Analytics & BI Transformation
The Adecco GroupHead of Data Science
eBaySenior Manager Marketing Data Analytics
Credit Suisse Asset ManagementDirector, Head of Technology
AXA SwitzerlandCTMO
SAP UKCTO Data and Database Management
VZUG AGHead of Electronic & Control Maintenance
Post CH AGHead of Engagement Management
Johnson & JohnsonVice President Enterprise Supply Chain Planning
Cohu Inc.Senior Director Technology and Product Innovation
ShireGlobal Head of Business Solutions
ShireHead of Field Effectiveness, International
GAM Holding AGClient Director
ABBGroup Vice President Customer Care
TakedaHead of Strategic Planning
Manor AGIndirect Procurement Lead
Syngenta Crop Protection AGGlobal Head Seedcare Institute Network
TakedaAssociate Director Medical Operations
Amcor GroupStrategic Marketing Director
Medela AGVP Global Product Management
ABBGroup VP - Global Head of Portfolio and Business Developent, High Voltage Unit
AllerganCFO International
SchindlerHead of Finance Innovation
Philip MorrisManager Testing Systems Engineering
HIT FoundationChief Data Officer
Post CH AGGroup Business Data Manager

Attendees List (Excerpt)
CompanyRole
Bühler AGHead of Research and Development
Six AGHead Innovation Design & Technology
Siemens AGEVP Global HR Business Partners
UBS AGHead of Resource Optimisation Modelling
Scout24 Schweiz AGHead of Business Intelligence
Alpiq AGGroup Cyber Security Officer
Audi AGProject Lead Digitalisierung Beschaffung
Bern University of Applied SciencesScientific Head Department of Economy
Schaeffler GroupProject Portfolio Manager Digitalisierung
Bundesamt für Kommunikation
BAKOM
Projektleiter Telecom- und Internetrecht
Oerlikon AGHead of Group Business Services
Vetter Pharma Fertigung
GmbH & CoKG
Vice President Controlling Systeme &BI
Siemens AGHead High Potential Development
Johnson&Johnson, Cilag
Schaffhausen
Head of Calibration
Allianz SuisseSenior VP Central Functions
Australian Trade &
Investment Commission
Senior Investment Manager
eBaySenior Manager Pricing & Promotions
UBS AGProgram Manager / Head Workforce Analytics Technology
EF- Education FirstBusiness Development Manager
The Adecco GroupHead of Analytics Operations
maxon motorHead of global digital transformation
DKSHVice President, Group Strategy, Digital Business and Analytics
AOK Baden-WürttembergHead of BI
MerckHead of Data-driven Solutions, Healthcare Digital
Zurich Insurance CompanyHead of Analytics & BI Transformation
The Adecco GroupHead of Data Science
eBaySenior Manager Marketing Data Analytics
Credit Suisse Asset ManagementDirector, Head of Technology
AXA SwitzerlandCTMO
SAP UKCTO Data and Database Management
VZUG AGHead of Electronic & Control Maintenance
Post CH AGHead of Engagement Management
Johnson & JohnsonVice President Enterprise Supply Chain Planning
Cohu Inc.Senior Director Technology and Product Innovation
ShireGlobal Head of Business Solutions
ShireHead of Field Effectiveness, International
GAM Holding AGClient Director
ABBGroup Vice President Customer Care
TakedaHead of Strategic Planning
Manor AGIndirect Procurement Lead
Syngenta Crop Protection AGGlobal Head Seedcare Institute Network
TakedaAssociate Director Medical Operations
Amcor GroupStrategic Marketing Director
Medela AGVP Global Product Management
ABBGroup VP - Global Head of Portfolio and Business Developent, High Voltage Unit
AllerganCFO International
SchindlerHead of Finance Innovation
Philip MorrisManager Testing Systems Engineering
HIT FoundationChief Data Officer
Post CH AGGroup Business Data Manager

TimeActivity
8:00Visitor Registration
9:00Opening
9:15New Data-Based Models and Services at Bühler

Manuel Hoehener, Head of Research and Development, Bühler AG
9:50Leadership and Management in Times of Digital Transformation

Markus Schwarzenböck, EVP Global HR Business Partners, Siemens AG
10:25Coffee Break / Networking
10:40Networking Session 1
• Supplier Meetings
• One-on-one Leader Meetings
• Leaders Circle
one-on-one-meeting
group meeting
11:10Networking Session 2
• Supplier Meetings
• One-on-one Leader Meetings
• Leaders Circle
one-on-one-meeting
group meeting
11:40Networking Session 3
• Supplier Meetings
• One-on-one Leader Meetings
• Leaders Circle
one-on-one-meeting
group meeting
12.10Networking Session 4
• Supplier Meetings
• One-on-one Leader Meetings
• Leaders Circle
one-on-one-meeting
group meeting
12:40Lunch with Networking
13:40Creating 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
  • 14:20AI and Big Data in Product Testing

    Andreas Bursian, Senior Director Technology and Product Innovation, Cohu Inc.
    15:00Networking Session 5
    • Supplier Meetings
    • One-on-one Leader Meetings
    • Leaders Circle
    one-on-one-meeting
    group meeting
    15:30Networking Session 6
    • Supplier Meetings
    • One-on-one Leader Meetings
    • Leaders Circle
    one-on-one-meeting
    group meeting
    16:00Networking Session 7
    • Supplier Meetings
    • One-on-one Leader Meetings
    • Leaders Circle
    one-on-one-meeting
    group meeting
    16:30Networking Session 8
    • Supplier Meetings
    • One-on-one Leader Meetings
    • Leaders Circle
    one-on-one-meeting
    group meeting
    17:00Coffee Break / Networking
    17:15Current Trends in Big Data Regulation

    Jens Kaessner, Project Leader Telecom & Internet Law, Federal Office of Communications OFCOM
    18:505 years of BI @Scout24 Switzerland: Achievements & Learnings

    Andreas von Ballmoos, Head of Business Intelligence, Scout24 Schweiz AG
    18:30Apéro at the Hotel Bar - Chill Out After an Exciting Day
    TimeActivity
    8:30Balancing 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
    9:05Data 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
  • 9:40Coffee Break / Networking
    10:00Networking Session 9
    • Supplier Meetings
    • One-on-one Leader Meetings
    • Leaders Circle
    one-on-one-meeting
    group meeting
    10:30Networking Session 10
    • Supplier Meetings
    • One-on-one Leader Meetings
    • Leaders Circle
    one-on-one-meeting
    group meeting
    11.00Networking Session 11
    • Supplier Meetings
    • One-on-one Leader Meetings
    • Leaders Circle
    one-on-one-meeting
    group meeting
    11:30Networking Session 12
    • Supplier Meetings
    • One-on-one Leader Meetings
    • Leaders Circle
    one-on-one-meeting
    group meeting
    12:00Lunch with Networking
    13:00Schaeffler'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
  • 13:35Monetizing AI und Machine Learning in Daily Business

    Adrian Alscher, Head of Resource Optimisation Modelling, UBS AG
    14:10Digital 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
  • 14:45Big Data in Supply Chain Management - Strategy and Use Cases

    Wayne Rothman, Vice President Enterprise Supply Chain Planning, Johnson & Johnson
    15:20Wrap-up and Closing

    Day 1
    TimeActivity 
    8:00Visitor Registration
    9:00Opening
    9:15New Data-Based Models and Services at Bühler

    Manuel Hoehener, Head of Research and Development, Bühler AG
    9:50Leadership and Management in Times of Digital Transformation

    Markus Schwarzenböck, EVP Global HR Business Partners, Siemens AG
    10:25Coffee Break / Networking
    10:40Networking Session 1
    • Supplier Meetings
    • One-on-one Leader Meetings
    • Leaders Circle
    one-on-one-meeting
    group meeting
    11:10Networking Session 2
    • Supplier Meetings
    • One-on-one Leader Meetings
    • Leaders Circle
    one-on-one-meeting
    group meeting
    11:40Networking Session 3
    • Supplier Meetings
    • One-on-one Leader Meetings
    • Leaders Circle
    one-on-one-meeting
    group meeting
    12.10Networking Session 4
    • Supplier Meetings
    • One-on-one Leader Meetings
    • Leaders Circle
    one-on-one-meeting
    group meeting
    12:40Lunch with Networking
    13:40Creating 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
  • 14:20AI and Big Data in Product Testing

    Andreas Bursian, Senior Director Technology and Product Innovation, Cohu Inc.
    15:00Networking Session 5
    • Supplier Meetings
    • One-on-one Leader Meetings
    • Leaders Circle
    one-on-one-meeting
    group meeting
    15:30Networking Session 6
    • Supplier Meetings
    • One-on-one Leader Meetings
    • Leaders Circle
    one-on-one-meeting
    group meeting
    16:00Networking Session 7
    • Supplier Meetings
    • One-on-one Leader Meetings
    • Leaders Circle
    one-on-one-meeting
    group meeting
    16:30Networking Session 8
    • Supplier Meetings
    • One-on-one Leader Meetings
    • Leaders Circle
    one-on-one-meeting
    group meeting
    17:00Coffee Break / Networking
    17:15Current Trends in Big Data Regulation

    Jens Kaessner, Project Leader Telecom & Internet Law, Federal Office of Communications OFCOM
    18:505 years of BI @Scout24 Switzerland: Achievements & Learnings

    Andreas von Ballmoos, Head of Business Intelligence, Scout24 Schweiz AG
    18:30Apéro at the Hotel Bar - Chill Out After an Exciting Day
    Day 2
    TimeActivity 
    8:30Balancing 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
    9:05Data 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
  • 9:40Coffee Break / Networking
    10:00Networking Session 9
    • Supplier Meetings
    • One-on-one Leader Meetings
    • Leaders Circle
    one-on-one-meeting
    group meeting
    10:30Networking Session 10
    • Supplier Meetings
    • One-on-one Leader Meetings
    • Leaders Circle
    one-on-one-meeting
    group meeting
    11.00Networking Session 11
    • Supplier Meetings
    • One-on-one Leader Meetings
    • Leaders Circle
    one-on-one-meeting
    group meeting
    11:30Networking Session 12
    • Supplier Meetings
    • One-on-one Leader Meetings
    • Leaders Circle
    one-on-one-meeting
    group meeting
    12:00Lunch with Networking
    13:00Schaeffler'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
  • 13:35Monetizing AI und Machine Learning in Daily Business

    Adrian Alscher, Head of Resource Optimisation Modelling, UBS AG
    14:10Digital 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
  • 14:45Big Data in Supply Chain Management - Strategy and Use Cases

    Wayne Rothman, Vice President Enterprise Supply Chain Planning, Johnson & Johnson
    15:20Wrap-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

    Courtyard by Marriott Zurich North

    Max-Bill Platz 19, CH-8005 Zürich, +41 44 564 04 04

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    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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    Premium: 3 representatives, 20 meetings and workshop, CHF 14'000 + VATElaborated: 2 representatives, 15 meetings and workshop, CHF 11'200 + VATAdvanced: 2 representatives, 10 meetings, CHF 8'400 + VATBasic: 1 representative, 5 meetings, CHF 5'600 Euro + VAT

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    All solution partner packages include the following services:
    • Invitation of corporate decision makers who are interested to meet with suppliers to discuss projects.
    • Matchmaking between the parter’s solutions and the interests and projects of the invited coporate decision makers.
    • Documentation of individual matching results with opportunities to select meeting partners.
    • Exclusive space at event venue for confidential one-on-one meetings.
    • Appointed meetings with pre-qualified decision makers, max. 30 miuntes each, pre-arranged with advanced business matching methods and approved by both sides.
    • Delegates and project profiles of all decision makers prior to the event.
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    • The regular cancellation fee is 25% of the invoice. In a period starting 4 weeks before the event the fee is 100% of the invocie.
    • The solution partner bears expenses for damages caused by the partner’s representatives during the event.
    • Place of jurisdiction shall be Kreuzlingen, Switzerland

    Business Matching

    How it works

    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.
    • Results are being sorted by relevance.
    • Based on these results you can ask for and prioritize meetings or be asked by others within the online platform.
    • Based on these wishes we’ll propose meeting schedules with individual agendas for you to make the most out of limited time.
    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.