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.
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
- 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.
Business Matching
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.
Dr. Johannes Lorenz, CIO, Munich International Fair
Near Realtime Analysis of Big Data and Predictive Analytics through Self-learning Algorithms
Near Realtime Analysis of Big Data and Predictive Analytics through Self-learning Algorithms
- New Big Data trends and technologies
- Business cases
- Architecture and roadmap to realtime big data analytics
Since 2012 Johannes is CIO of Munich International Fair. Before that time he worked as CTO for Ticket Online, head of competence centre portals & CMS at MAN group and head of web-based software production at MAN utility vehicles. Since graduating at Technical University Munich he works with self-learning systems and pattern recognition.
Torsten Spahn, Head of Controlling, Stadtwerke Krefeld
Developing New Business Models with Big Data: An Example from a Municipal Utility Company
Developing new business models with Big Data: An example from a municipal utility company
- How to survive in a radically changing market? By turning from energy supplier to energy consultant
- Energy efficiency – consulting and realisation for industrial customers
- Energy monitoring as a Big Data cloud solution: consumption analysis, efficiency controlling, purchase optimisation
Dr. Susan Wegner, VP Internet and Services Telekom Innovation Labs, Head of Corporate Big Data Competence Centre, Deutsche Telekom AG
How to control Big Data challenges in a global telco Company
How to control Big Data challenges in a global telco company
- Key factors business, technology, data security
- Case studies: fraud prevention, municipal public transport steering, indoor analytics
- Secure with synthesized data
Susan is responsible for the innovation field Internet & Services of Telekom Innovation Laboratories. The focus areas within this field are strategically derived from the key drivers of future telecommunication business: Voice disruptions, data analytics and user-driven innovation. Additionally she established a group-wide Big Data competence team to promote transparency, ensuring the exchange of knowledge and information among relevant units to support the positioning of this key topic within Deutsche Telekom. The goal is to position Deutsche Telekom as a safe and transparent innovation partner in this emerging market. To ensure that new innovative solutions go quickly to market, smaller companies like “Motionlogic” have been established in the form of new ventures.
Susan studied Computer Science and Mathematics at the Technical University of Berlin and at the University of North Carolina at Chapel Hill. She is married and has over 10 years’ experience in designing and managing innovation development within the Deutsche Telekom Group.
Dr. Wilfried Völsgen, Manager Pan European Fleet Services, Ford of Europe
How to achieve turnover increases and competitive advantages with Big Data
How to achieve turnover increases and competitive advantages with Big Data
- How to win and develop new customers with Big Data
- Restructuring of sales, marketing and financial processes based on Big Data analytics
- New business models bases on Big Data
Dr. Franz-Josef Pfreundt, Division Director, Head Competence Center for HPC, Fraunhofer Institute for Industrial Mathematics (ITWM)
Data Management and Workflow Automation in Big Data Surroundings
Data Management and Workflow Automation in Big Data Surroundings
- Scalable I/O and data locality – managing data transport over a hierarchy of locations
- Workflow automation and extraction of parallelism – the key to performance
- Different examples from the energy market ( oil& gas and electrical power consumption)
Franz-Josef studied Mathematics, Physics and Computer Science resulting in a Diploma in Mathematics and a Ph.D degree in Mathematical Physics (1986).
From 1986-1995 he had a permanent position at the University of Kaiserslautern as Head of the Research Group for Industrial Mathematics. In 1995 he was cofounder of the Fraunhofer Institute for Industrial Mathematics – ITWM . He founded the departments: “Flow in complex structures” and “Models and algorithms in image analysis”.
Since 1999 he is Divison Director at Fraunhofer ITWM and Head of the “Competence Center for HPC and Visualization”. In 2001 the prestigious Fraunhofer Research Prize was awarded to Franz-Josef, Konrad Steiner and their research group for their work on microstructure simulation. He is PI for a variety of parallel computing research projects including the development of new parallel programming frameworks . He started the Fraunhofer Resource Grid in 2001 and supports the Fraunhofer Cloud Alliance. The developments in the area of visualisation and implementations on IBM Cell Processor gained the Fraunhofer Research Price in 2005 and the IBM faculty award in 2006. Its main resaech focus since 2005 are parallel filesystems ( FhgFS) and new parallel programming appraoches ( GPI, GPI-Space).
Daniel Huhn, Head of Business Process and IT Coordination, VNG – Verbundnetz Gas AG
Price Development Simulation for Over-the-Counter Natural Gas Trading – Big Volume, Big Variety, Big Velocity
Price Development Simulation for Over-the-Counter Natural Gas Trading – Big Volume, Big Variety, Big Velocity
- Data driven business model in natural gas trading
- Potentials of predictive analytics
- Big Data value ad
Daniel translates complex business requests in suitable project structures. He is interested in BI & Big Data, IT programme and project management and organisational psychology. He realised these three disciplines are the core skills to handle IT and process challenges in energy business successfully.
Prof. Dr. Karsten Felden, Chair of Business Informatics, Technical University Freiberg
Price Development Simulation for Over-the-Counter Natural Gas Trading – Big Volume, Big Variety, Big Velocity
Price Development Simulation for Over-the-Counter Natural Gas Trading – Big Volume, Big Variety, Big Velocity
- Data driven business model in natural gas trading
- Potentials of predictive analytics
- Big Data value ad
Karsten heads the Institute for Business Informatics at Technical University and Mining Academy Freiberg. His core scientific interests are predictive analytics, data warehousing, XBRL and BI maturity models.
CISO of a DAX30 corporation
Successful governance through Big Data
Successful governance through Big Data
- Secure service levels of many external suppliers with Big Data solutions
- Compliance management in multidimensional frameworks of requirements
- Big Data: Only the integration of many control points creates a reliable solution
Markus Wolters, Head of Internet Sales and Online Marketing, PSD Bank Hannover
Identify Target Groups with Big Data to Place Marketing Budgets the Best Way
Identify Target Groups with Big Data to Place Marketing Budgets the Best Way
- Compliant website tracking with Big Data
- Win and evaluate insights for different target groups
- Programmatic online ad purchasing and budget optimisation
Reinhard Breyer, CIO, Mercedes AMG
Efficient engine testing through realtime analytics
Efficient engine testing through realtime analytics
- Processing and visualisation of tens of thousands of data points within seconds
- Cost reduction through realtime processing and predictive analytics
- Reduced test time and optimised engine development
Dr. Oliver Bohl, Director Digital Business Development, Payback GmbH
Corner Shop 2.0 – Smart Data is Key
Corner Shop 2.0 – Smart Data is Key
- Big Data becomes Smart Data: Companies don’t need much but relevant data
- Crossing over – corner shop with optimised genetic pool
- Is online king? Or might the digital customer just be a myth?
Wolfgang Zimmermann, Internal Management Consultant E-Commerce, Migros Genossenschaftsbund
Understanding and Implementing Big Data in Retail Business
Understanding and Implementing Big Data in Retail Business
- What’s the disruptive thing with Big Data? And which processes are affected most?
- New business vs. old business
- The challenge to get from innovation to industrial processes
- Best practices
| Company | Role |
| Deutsche Telekom | Head of Innovation |
| Mann + Hummel | IT Scout |
| Carl Knauber Hoding | CIO |
| Asculap | Head of Marketing |
| Munich Trade Fair | CIO |
| Deutsche Telekom | VP Internet & Services, Head of Corporate BI Competence Center |
| Fraunhofer Institute for Business Mathematics | Head HPC |
| Municipal Utility Company Krefeld | Head of Controlling |
| Ford of Europe | European Fleet Sales |
| Deutsche Post / DHL | CISO |
| VNG - Verbundnetz Gas | Head of Business Process and IT Coordination |
| Technical University Freiberg | Chair of Business Informatics |
| PSD Bank | Head of Online Sales |
| Ford Germany | Global Application Management |
| WAGO | Head of Technology and Automation |
| AVL | Head of AVL Integrated Open Development Platform |
| PAYBACK | Director Digital Business Development |
| Mercedes-AMG | CIO |
| AXA Winterthur | Head BI / Big Data |
| Deutsche Post / DHL | Head of Data Analytics |
| Deutsche Post / DHL | VP Business Partner Management CSI, Data Analytics & BI |
| Klöckner & Co | Head of Controlling, M&A and Corporate Development |
| Migros | Internal Management Consultant - E-Commerce |
| Kistler Instruments | Head of Electronics Product Lines |
| DKB | Head of Database |
| RAFI | Head R&D |
| STRATO | Head of Commercial IT |
| German Centre for Aerospace | Head Technology Marketing |
| TenneT TSO | Business Development |
| Commerzbank AG | Sector Head Media |
| MVV Energie AG | Head of Sales |
| CEWE Stiftung & Co. KGaA | Head of Sales Organisation & Head of BI |
| W.L.Gore & Associates GmbH | Director Strategic Marketing |
| Bayer Healthcare AG | O&I Big Data Analytics |
| Trilux Group / ITZ | Director Lighting Systems |
| SMA Solar Technology AG | Head of Competence Center Communication Solutions |
| MAN Truck & Bus AG | Head of Marketing |
| Ford Werke GmbH | IT Manager - European Strategy, Communications & Security |
| INTERSEROH Dienstleistungs GmbH | Manager Business Intelligence |
| Bertrandt AG | Head Connected Car |
| Microsoft Deutschland GmbH | CFO - Commercial Business |
| arvato direct services Gütersloh GmbH | Head of IT |
| Telekom Deutschland GmbH | Head CRM Strategy, Quality & Innovation |
| Volkswagen AG | Head of Volkswagen Data Labs |
| Kaufland Stiftung & Co. KG | Managing Director International Customer Marketing |
| MAN Truck & Bus Deutschland GmbH | Project Lead CRM & Online Communications |
Supplier 6
| Time | Activity | |
| 8:00 | Visitor Registration | |
| 9:00 | Opening | |
| 9:15 | Presentation | |
| 9:50 | Presentation | |
| 10:25 | Coffee Break | |
| 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 | Presentation | |
| 14:15 | Presentation | |
| 14:50 | Networking Session 5 • Supplier Meetings • One-on-one Leader Meetings • Leaders Circle | |
| 15:20 | Networking Session 6 • Supplier Meetings • One-on-one Leader Meetings • Leaders Circle | |
| 15:50 | Networking Session 7 • Supplier Meetings • One-on-one Leader Meetings • Leaders Circle | |
| 16:20 | Networking Session 8 • Supplier Meetings • One-on-one Leader Meetings • Leaders Circle | |
| 16:50 | Networking Session 9 • Supplier Meetings • One-on-one Leader Meetings • Leaders Circle | |
| 17:30 | Presentation | |
| 18:30 | Networking Session 10 • Supplier Meetings • One-on-one Leader Meetings • Leaders Circle | |
| 20:00 | Networking Dinner Lounge with Live Music - Chill Out After an Exciting Day |
| Time | Activity | |
| 8:30 | Presentation | |
| 9:05 | Presentation | |
| 9:40 | Networking Session 11 • Supplier Meetings • One-on-one Leader Meetings • Leaders Circle | |
| 10:10 | Networking Session 12 • Supplier Meetings • One-on-one Leader Meetings • Leaders Circle | |
| 11:40 | Coffee Break | |
| 11.00 | Networking Session 13 • Supplier Meetings • One-on-one Leader Meetings • Leaders Circle | |
| 11:30 | Networking Session 14 • Supplier Meetings • One-on-one Leader Meetings • Leaders Circle | |
| 12:00 | Networking Session 15 • Supplier Meetings • One-on-one Leader Meetings • Leaders Circle | |
| 12:30 | Lunch with Networking | |
| 13:30 | Presentation | |
| 14:05 | Presentation | |
| 14:40 | Networking Session 16 • Supplier Meetings • One-on-one Leader Meetings • Leaders Circle | |
| 15:10 | Networking Session 17 • Supplier Meetings • One-on-one Leader Meetings • Leaders Circle | |
| 15:40 | Presentation | |
| 16:15 | Wrap-up and Closing Ceremony |
| Big Data Strategy |
| Data Security |
| Big Data Cloud Applications |
| Social Media Analytics |
| Process Optimization |
| ACRM |
| Data Warehouse |
| Smart Data Management in R&D |
| PLM |
| Model-based R&D |
| Smart Big Data Development |
| Big Data Methods |
| Big Data in Sales Processes |
| Big Data in Risk Management |
| Scrum vs. Compliance |
| BI Implementation |
| aCRM Implementation |
| IoT/m2m Applications |
| User Portals |
| TSO DSO Energy Landscape |
| Smart Data in Risk Management |
| Early Warning Indicators |
| Predictive Alalytics |
| Fraud Protection |
| Media Sentiment Analysis |
| Risk Intelligence |
| Text Mining |
| Big Data in manufacturing |
| Big Data in SCM |
| Big Data in SCM |
| New business models |
| Big Data and CRM |
| Servcie models based on data |
| Preventive Maintenance |
| Connected Cars |
| OpenMDM |
Joseph-Schumpeter-Allee 1
D–53227 Bonn
Phone +49 228 4334 5000
- 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.
- 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
