Turn Big Data into money now! Profitable Use Caes. Networking with peers and consultants. Limitless opportunities for Smart Analytics and digital business models. This summit gets more and more exciting since 2015. Come aboard and gain insights directly from the other key players.

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Big Data Strategy Dialog Connects Corporate Decision Makers, Pioneering IT Managers and Innovative Solution Providers To Exchange Experiences, Discuss Projects and Outline Big Data Roadmaps. Beside capital, work and resources data is the fourth factor of production in modern knowledge economies. Big Data enables a new dimension of IT-based decision support and automated analytics. Big Data helps to improve business performance and to adapt faster to market changes. Big Data fosters new business models and services.

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Big Data is a combination of disruptive technologies that will change economy as radical as the Internet itself did before. Competitive advantages of companies adapting Big Data intelligently in their industries will be dramatic because they will accelerate virtually all processes. Empirical studies show these statements are no IT marketing slogans but proven facts: There is huge RoI in Big Data.
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.


Sinanudin Omerhodzic
Senior Vice President IT
HARTMANN Group

Digital Business Models based on AI and IoT


Vijay Pravin Maharajan
Data Scientist
Volkswagen AG

Bridging the Gap between the Data and the Business World


Dr. Sönke Iwersen
Director Central BI
HRS Group

Data Driven Enterprises: How The Travel Industry Can Benefit From ML/AI Technologies (Use Case)

  • Data usage becomes more delicate since "batch only" is over and companies will go for "2 speed BI"
  • Therefore the use case alone is decisive for the technological implementation
  • ML/AI business cases finally make money
  • Use case: Hotel portfolio optimization in our b2b market field


Dr. Stefan Bungart
Head of Digitalisation
Siemens Power Generation Services

New High Value Business Models Based on Complex Data Analytics

  • Transforming from a power plant engineering and construction company into a business consultancy with the help of data science
  • Connecting and analyzing data from various sources in an intelligent way (ERP data, weather, power exchanges, plants in use, market data etc.)
  • Complex simulations
  • Goal: Market-driven workload to achieve more profitability
  • Use cases


Borislav Tadić
Vice President BMS & Transformation
Data Privacy, Legal, and Compliance
Deutsche Telekom AG

Security, Data Protection and Ethics - Fundaments of a Sustainable Digitalisation


Ralph Köppel
Head of BI
AOK Baden Württemberg

Migration to SAP HANA SQL Data Warehousing

  • Replacement of existing relational DWH solution
  • Motivation: A more future-oriented and sustainable approach to reporting and analytics
  • System landscape, architecture, methodology
  • Opportunities, challenges, lessons learned


Dr. Markus Czanta
Director Digital Transformation
Merck Group

Anticipating Digitalisation Trends Through Social Media Advanced Analytics

  • Social media: an underestimated source of information for b2b companies
  • Current digitalisation hypes according to social media
  • Remarkable differences between industries
  • Focus AI
  • Using social media insights to develop new chemical products


Volker Brendel
CTO
KODAKOne

Blockchain and Big Data – Merger of the Future / Use Case KODAKOne

  • For some business models the connection of a central big data hub with a distributed ledger makes sense
  • Blockchain will not replace existing data management solutions, because it is too slow
  • Nevertheless in these key fields DLT applications add enormous value: Auditing, Provenience, Digital Assets, Collaboration
  • All these fields are part of KODAKOne, an image rights management platform
  • Challenges: Integration, scale, trust, privacy, demand and chain
  • Solutions and lessons learned, Recommendations


Jens Müller
COO
BuildingMinds

Digital Business Model Case: Schindler's Spinn-off BuildingMinds

  • AI and data bases business models of the future
  • Idea: Optimizing real estate asset management with a SaaS platform
  • Owners manage all properties and service providers on a central platform
  • Digital twins for buildings
  • Challenge: Integration various data from existing applications
  • "Re-configuration" value to the core business


Wald Westerlinck
Vice President Global Operational Excellence and Quality
Maxion Wheels

Digitalisation of Maxion Wheels Manufacturing Processes

  • Big Data and AI based control of the aluminum casting process
  • Virtual plant model: Full Digital Twin calculation and simulation
  • Global footprint, geographical handicap, extreme benchmarking
  • Digital framework for continuous improvement
  • Strategic price setting


Nils Vieth
Chief Innovation Architect
SAP

The Impact of Digital Disruption on Business Models, Culture and Technology


Martin Treder
Managing Director Data Management International
FedEx

Data Governance in Large Corporations in Times of Big Data and Smart Analytics


Prof. Dr. Thomas Zahn
Head of fib Research Institute
bbw University of Applied Sciences

Potentials of Big Data Analytics in the German Healthcare System

  • The government-funded HLaN Project - Health Reality Lab Network
  • AI based diagnosis support
  • Data access in a regulatory perspective


Dr. Tim Fischer
Director Customer Engagement Strategy
Merck KGaA

Launching an AI based e2e Asset Management

Attendees List (Excerpt)
CompanyRole
Parfümerie DouglasHead of Data Analytics
HARTMANN GroupSenior Vice President IT
SMA Solar Technology AGExecutive Vice President Digital
HRS GroupDirector Central BI
VHV GruppeChief Risk Officer
Volkswagen AGData Scientist
LSAGCDO
Siemens Power Generation ServicesHead of Digitalisation
ZF Friedrichshafen AGApplication Data Management International
Deutsche Telekom AGVice President BMS & Transformation
Procter & GambleChief Engineer Mainline Diaper Platform
AOK Baden WürttembergHead of BI
Deutsche Telekom ISP GmbHSenior Innovation Evangelist
Merck GroupDirector Digital Transformation
Lohmann GmbH & Co. KGGlobal Head of IT
KODAKOneCTO
Continental AGVP Corporate Processes and Standards
BuildingMinds (Schindler)COO
WelthungerhilfeCIO
Maxion WheelsVP Global Operational Excellence and Quality
thyssenkrupp Materials Services Head of Data Analytics & BI
HOYER GroupHead of Sales
AOK NordostGeschäftsführer GeWINO
FedExManaging Director Data Management International
SAP SEChief Innovation Architect
FactSetVP, Director Market Development
Taros ChemicalsSenior Vice President Drug Discovery
VodafoneGlobal Head of IoT and UCC Operations

Attendees List (Excerpt)
CompanyRole
Parfümerie DouglasHead of Data Analytics
HARTMANN GroupSenior Vice President IT
SMA Solar Technology AGExecutive Vice President Digital
HRS GroupDirector Central BI
VHV GruppeChief Risk Officer
Volkswagen AGData Scientist
LSAGCDO
Siemens Power Generation ServicesHead of Digitalisation
ZF Friedrichshafen AGApplication Data Management International
Deutsche Telekom AGVice President BMS & Transformation
Procter & GambleChief Engineer Mainline Diaper Platform
AOK Baden WürttembergHead of BI
Deutsche Telekom ISP GmbHSenior Innovation Evangelist
Merck GroupDirector Digital Transformation
Lohmann GmbH & Co. KGGlobal Head of IT
KODAKOneCTO
Continental AGVP Corporate Processes and Standards
BuildingMinds (Schindler)COO
WelthungerhilfeCIO
Maxion WheelsVP Global Operational Excellence and Quality
thyssenkrupp Materials Services Head of Data Analytics & BI
HOYER GroupHead of Sales
AOK NordostGeschäftsführer GeWINO
FedExManaging Director Data Management International
SAP SEChief Innovation Architect
FactSetVP, Director Market Development
Taros ChemicalsSenior Vice President Drug Discovery
VodafoneGlobal Head of IoT and UCC Operations

May 13, 2019Activity
8:00Visitor Registration
9:00Opening
9:15Digital Business Models based on AI and IoT

Sinanudin Omerhodzic, Senior Vice President IT, HARTMANN Group
9:50The Impact of Digital Disruption on Business Models, Culture and Technology

Nils Vieth, Chief Innovation Architect, SAP
10:25Potentials of Big Data Analytics in the German Healthcare System
  • The government-funded HLaN Project - Health Reality Lab Network
  • AI based diagnosis support
  • Data access in a regulatory perspective
    Prof. Dr. Thomas Zahn, Head of fib Research Institute, bbw University of Applied Sciences
  • 11:00Coffee Break with Networking
    11:30Networking Session 1
    • Supplier Meetings
    • One-on-one Leader Meetings
    • Leaders Circle
    12:00Networking Session 2
    • Supplier Meetings
    • One-on-one Leader Meetings
    • Leaders Circle
    12:30Networking Session 3
    • Supplier Meetings
    • One-on-one Leader Meetings
    • Leaders Circle
    13:00Networking Session 4
    • Supplier Meetings
    • One-on-one Leader Meetings
    • Leaders Circle
    13:30Lunch with Networking
    14:30Anticipating Digitalisation Trends Through Social Media Advanced Analytics
  • Social media: an underestimated source of information for b2b companies
  • Current digitalisation hypes according to social media
  • Remarkable differences between industries
  • Focus AI
  • Using social media insights to develop new chemical products
    Dr. Markus Czanta, Director Digital Transformation, Merck Group
  • 15:00Bridging the Gap between the Data and the Business World

    Vijay Pravin Maharajan, Data Scientist, Volkswagen AG
    15:30Networking Session 5
    • Supplier Meetings
    • One-on-one Leader Meetings
    • Leaders Circle
    16:00Networking Session 6
    • Supplier Meetings
    • One-on-one Leader Meetings
    • Leaders Circle
    16:30Coffee Break with Networking
    16:45Networking Session 7
    • Supplier Meetings
    • One-on-one Leader Meetings
    • Leaders Circle
    17:15Networking Session 8
    • Supplier Meetings
    • One-on-one Leader Meetings
    • Leaders Circle
    17:45Security, Data Protection and Ethics - Fundaments of a Sustainable Digitalisation

    Borislav Tadić, Vice President BMS & Transformation, Data Privacy, Legal, and Compliance, Deutsche Telekom AG
    18:15Blockchain and Big Data – Merger of the Future / Use Case KODAKOne
  • For some business models the connection of a central big data hub with a distributed ledger makes sense
  • Blockchain will not replace existing data management solutions, because it is too slow
  • Nevertheless in these key fields DLT applications add enormous value: Auditing, Provenience, Digital Assets, Collaboration
  • All these fields are part of KODAKOne, an image rights management platform
  • Challenges: Integration, scale, trust, privacy, demand and chain
  • Solutions and lessons learned, Recommendations
    Volker Brendel, CTO, KODAKOne
  • 18:45Digitalisation of Maxion Wheels Manufacturing Processes
  • Big Data and AI based control of the aluminum casting process
  • Virtual plant model: Full Digital Twin calculation and simulation
  • Global footprint, geographical handicap, extreme benchmarking
  • Digital framework for continuous improvement
  • Strategic price setting
    Wald Westerlinck, Vice President Global Operational Excellence and Quality, Maxion Wheels
  • 19:15Apéro at the wine bar - Chill out after an exciting day!
    May 14, 2019Activity
    9:00Data Driven Enterprises: How The Travel Industry Can Benefit From ML/AI Technologies (Use Case)
  • Data usage becomes more delicate since "batch only" is over and companies will go for "2 speed BI"
  • Therefore the use case alone is decisive for the technological implementation
  • ML/AI business cases finally make money
  • Use case: Hotel portfolio optimization in our b2b market field
    Dr. Sönke Iwersen, Director Central BI, HRS Group
  • 9:30Digital Business Model Case: Schindler's Spinn-off BuildingMinds
  • AI and data bases business models of the future
  • Idea: Optimizing real estate asset management with a SaaS platform
  • Owners manage all properties and service providers on a central platform
  • Digital twins for buildings
  • Challenge: Integration various data from existing applications
  • "Re-configuration" value to the core business
    Jens Müller, COO, BuildingMinds
  • 10:00Networking Session 9
    • Supplier Meetings
    • One-on-one Leader Meetings
    • Leaders Circle
    10:30Networking Session 10
    • Supplier Meetings
    • One-on-one Leader Meetings
    • Leaders Circle
    11:00Coffee Break with Networking
    11:15Networking Session 11
    • Supplier Meetings
    • One-on-one Leader Meetings
    • Leaders Circle
    11:45Networking Session 12
    • Supplier Meetings
    • One-on-one Leader Meetings
    • Leaders Circle
    12:15Lunch with Networking
    13:15Data Governance in Large Corporations in Times of Big Data and Smart Analytics

    Martin Treder, Managing Director Data Management International, FedEx
    13:15Migration to SAP HANA SQL Data Warehousing
  • Replacement of existing relational DWH solution
  • Motivation: A more future-oriented and sustainable approach to reporting and analytics
  • System landscape, architecture, methodology
  • Opportunities, challenges, lessons learned
    Ralph Köppel, Head of BI, AOK Baden Württemberg
  • 13:45Launching an AI based e2e Asset Management

    Dr. Tim Fischer, Director Customer Engagement Strategy, Merck KGaA
    14:15New High Value Business Models Based on Complex Data Analytics
  • Transforming a power plant engineering and construction company into a business consultancy with the help of data science
  • Connecting and analyzing data from various sources in an intelligent way (ERP data, weather, power exchanges, plants in use, market data etc.)
  • Complex simulations
  • Goal: Market-driven workload to achieve more profitability
  • Use cases
    Dr. Stefan Bungart, Head of Digitalisation, Siemens Power Generation Services
  • 14:45Wrap-up and closing discussion

    Day 1
    May 13, 2019Activity 
    8:00Visitor Registration
    9:00Opening
    9:15Digital Business Models based on AI and IoT

    Sinanudin Omerhodzic, Senior Vice President IT, HARTMANN Group
    9:50The Impact of Digital Disruption on Business Models, Culture and Technology

    Nils Vieth, Chief Innovation Architect, SAP
    10:25Potentials of Big Data Analytics in the German Healthcare System
  • The government-funded HLaN Project - Health Reality Lab Network
  • AI based diagnosis support
  • Data access in a regulatory perspective
    Prof. Dr. Thomas Zahn, Head of fib Research Institute, bbw University of Applied Sciences
  • 11:00Coffee Break with Networking
    11:30Networking Session 1
    • Supplier Meetings
    • One-on-one Leader Meetings
    • Leaders Circle
    12:00Networking Session 2
    • Supplier Meetings
    • One-on-one Leader Meetings
    • Leaders Circle
    12:30Networking Session 3
    • Supplier Meetings
    • One-on-one Leader Meetings
    • Leaders Circle
    13:00Networking Session 4
    • Supplier Meetings
    • One-on-one Leader Meetings
    • Leaders Circle
    13:30Lunch with Networking
    14:30Anticipating Digitalisation Trends Through Social Media Advanced Analytics
  • Social media: an underestimated source of information for b2b companies
  • Current digitalisation hypes according to social media
  • Remarkable differences between industries
  • Focus AI
  • Using social media insights to develop new chemical products
    Dr. Markus Czanta, Director Digital Transformation, Merck Group
  • 15:00Bridging the Gap between the Data and the Business World

    Vijay Pravin Maharajan, Data Scientist, Volkswagen AG
    15:30Networking Session 5
    • Supplier Meetings
    • One-on-one Leader Meetings
    • Leaders Circle
    16:00Networking Session 6
    • Supplier Meetings
    • One-on-one Leader Meetings
    • Leaders Circle
    16:30Coffee Break with Networking
    16:45Networking Session 7
    • Supplier Meetings
    • One-on-one Leader Meetings
    • Leaders Circle
    17:15Networking Session 8
    • Supplier Meetings
    • One-on-one Leader Meetings
    • Leaders Circle
    17:45Security, Data Protection and Ethics - Fundaments of a Sustainable Digitalisation

    Borislav Tadić, Vice President BMS & Transformation, Data Privacy, Legal, and Compliance, Deutsche Telekom AG
    18:15Blockchain and Big Data – Merger of the Future / Use Case KODAKOne
  • For some business models the connection of a central big data hub with a distributed ledger makes sense
  • Blockchain will not replace existing data management solutions, because it is too slow
  • Nevertheless in these key fields DLT applications add enormous value: Auditing, Provenience, Digital Assets, Collaboration
  • All these fields are part of KODAKOne, an image rights management platform
  • Challenges: Integration, scale, trust, privacy, demand and chain
  • Solutions and lessons learned, Recommendations
    Volker Brendel, CTO, KODAKOne
  • 18:45Digitalisation of Maxion Wheels Manufacturing Processes
  • Big Data and AI based control of the aluminum casting process
  • Virtual plant model: Full Digital Twin calculation and simulation
  • Global footprint, geographical handicap, extreme benchmarking
  • Digital framework for continuous improvement
  • Strategic price setting
    Wald Westerlinck, Vice President Global Operational Excellence and Quality, Maxion Wheels
  • 19:15Apéro at the wine bar - Chill out after an exciting day!
    May 14, 2019Activity
    9:00Data Driven Enterprises: How The Travel Industry Can Benefit From ML/AI Technologies (Use Case)
  • Data usage becomes more delicate since "batch only" is over and companies will go for "2 speed BI"
  • Therefore the use case alone is decisive for the technological implementation
  • ML/AI business cases finally make money
  • Use case: Hotel portfolio optimization in our b2b market field
    Dr. Sönke Iwersen, Director Central BI, HRS Group
  • 9:30Digital Business Model Case: Schindler's Spinn-off BuildingMinds
  • AI and data bases business models of the future
  • Idea: Optimizing real estate asset management with a SaaS platform
  • Owners manage all properties and service providers on a central platform
  • Digital twins for buildings
  • Challenge: Integration various data from existing applications
  • "Re-configuration" value to the core business
    Jens Müller, COO, BuildingMinds
  • 10:00Networking Session 9
    • Supplier Meetings
    • One-on-one Leader Meetings
    • Leaders Circle
    10:30Networking Session 10
    • Supplier Meetings
    • One-on-one Leader Meetings
    • Leaders Circle
    11:00Coffee Break with Networking
    11:15Networking Session 11
    • Supplier Meetings
    • One-on-one Leader Meetings
    • Leaders Circle
    11:45Networking Session 12
    • Supplier Meetings
    • One-on-one Leader Meetings
    • Leaders Circle
    12:15Lunch with Networking
    13:15Data Governance in Large Corporations in Times of Big Data and Smart Analytics

    Martin Treder, Managing Director Data Management International, FedEx
    13:15Migration to SAP HANA SQL Data Warehousing
  • Replacement of existing relational DWH solution
  • Motivation: A more future-oriented and sustainable approach to reporting and analytics
  • System landscape, architecture, methodology
  • Opportunities, challenges, lessons learned
    Ralph Köppel, Head of BI, AOK Baden Württemberg
  • 13:45Launching an AI based e2e Asset Management

    Dr. Tim Fischer, Director Customer Engagement Strategy, Merck KGaA
    14:15New High Value Business Models Based on Complex Data Analytics
  • Transforming a power plant engineering and construction company into a business consultancy with the help of data science
  • Connecting and analyzing data from various sources in an intelligent way (ERP data, weather, power exchanges, plants in use, market data etc.)
  • Complex simulations
  • Goal: Market-driven workload to achieve more profitability
  • Use cases
    Dr. Stefan Bungart, Head of Digitalisation, Siemens Power Generation Services
  • 14:45Wrap-up and closing discussion

    Types Of Projects to be Discussed (Excerpt)
    Data labelling processes / operating model
    AI as a value creator and not Efficiency factor
    Operational excellence
    Cloud Options and quicker development
    Data warhousing and lakes options
    IoT/M2M - ERP Integration
    Blockchain Tokenization 
    Business Process Automation
    Big Data in SCM
    AI as driver of new business models
    Integrated Omnichannel-Reporting
    Data based business models
    Deep Learning / AI in risk management and reporting
    Building Data Analytics
    Big Data Analytics in the automotive aftermarket
    Product data cycle
    New workplace
    SAP Analytics (HANA)
    Supplier Data Integration
    Performance Data Management
    Digital Platforms
    VR/AR
    Future Mobility
    3D Printing
    Date driven business models
    Management Dashboards
    Online digital quality assurance and product release
    Digital Services
    IoT Initiative for Process Data Analytics
    Digital Roadmap
    Digital Channels in Marketing
    Challenges in Business Process Management in a large Corporation
    Opportunities and Limitations of AI, Data Analytics and other Tools
    Big Data and Smart Analytics in Marketing
    Building a Data Analytics Platform
    New Use and Business Cases
    New Business Models based on Data and AI in an old Industry

    petersberg550

    Steigenberger Grandhotel Petersberg

    Petersberg, 53639 Königswinter/Bonn, Germany

    Tel. + 49 (0) 2223 740

    Register as Decision Maker

    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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    This registration is only valid if confirmed by Cintelligence Ltd. by e-mail.

    Register as Solution Partner

    We book the following package:

    Premium: 3 representatives, 20 meetings and workshop, 10,000 Euro + VATElaborated: 2 representatives, 15 meetings and workshop, 8,000 Euro + VATAdvanced: 2 representatives, 10 meetings, 6,000 Euro + VATBasic: 1 representative, 5 meetings, 4,000 Euro + VAT

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    By clicking the "Book now" button I accept the terms & conditions stated below:

    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.
    • Full event participation for every person booked.
    • High standard catering for every person booked.
    • Presentation of the partner’s solutions in invitation calls, newsletters and on the event website with logo and links to partner web resources.
    • Invitation of companies and managers named by the partner if desired by the partner and in accordance with the event character.
    Terms & Conditions (all we need indeed):
    • The booking becomes valid when confirmed by Cintelligence.
    • Cintelligence guarantees for the services stated above.
    • Payment is due prior to the event after booking, because Cintelligence starts to work for the client immediately after booking (presentation of solutions, research etc.) and needs to pay servcies in advance herself.
    • Cintelligence is not liable for damages caused by technical malfunctions or force majeure like e.g. acts of God, war, riots, terrorist threats or activities, political constraints or trade disputes.
    • 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 Potsdam (close to Berlin), Germany

    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.