Big Data Strategy Dialog DACH, 17th-18th June 2015

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.

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

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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.

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.



Dr. Johannes Lorenz, CIO, Munich International Fair

Near Realtime Analysis of Big Data and Predictive Analytics through Self-learning Algorithms

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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

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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

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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

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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

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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

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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

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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

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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

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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, Mercedes AMG GmbH

Reinhard Breyer, CIO, Mercedes AMG

Efficient engine testing through realtime analytics

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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

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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

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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

Attendees List (Excerpt)
Deutsche TelekomHead of Innovation
Mann + HummelIT Scout
Carl Knauber HodingCIO
AsculapHead of Marketing
Munich Trade FairCIO
Deutsche TelekomVP Internet & Services, Head of Corporate BI Competence Center
Fraunhofer Institute for Business MathematicsHead HPC
Municipal Utility Company KrefeldHead of Controlling
Ford of EuropeEuropean Fleet Sales
Deutsche Post / DHLCISO
VNG - Verbundnetz GasHead of Business Process and IT Coordination
Technical University FreibergChair of Business Informatics
PSD BankHead of Online Sales
Ford GermanyGlobal Application Management
WAGOHead of Technology and Automation
AVLHead of AVL Integrated Open Development Platform
PAYBACKDirector Digital Business Development
AXA WinterthurHead BI / Big Data
Deutsche Post / DHLHead of Data Analytics
Deutsche Post / DHLVP Business Partner Management CSI, Data Analytics & BI
Klöckner & CoHead of Controlling, M&A and Corporate Development
MigrosInternal Management Consultant - E-Commerce
Kistler InstrumentsHead of Electronics Product Lines
DKBHead of Database
STRATOHead of Commercial IT
German Centre for AerospaceHead Technology Marketing
TenneT TSOBusiness Development
Commerzbank AGSector Head Media
MVV Energie AGHead of Sales
CEWE Stiftung & Co. KGaAHead of Sales Organisation & Head of BI
W.L.Gore & Associates GmbHDirector Strategic Marketing
Bayer Healthcare AGO&I Big Data Analytics
Trilux Group / ITZDirector Lighting Systems
SMA Solar Technology AGHead of Competence Center Communication Solutions
MAN Truck & Bus AGHead of Marketing
Ford Werke GmbHIT Manager - European Strategy, Communications & Security
INTERSEROH Dienstleistungs GmbHManager Business Intelligence
Bertrandt AGHead Connected Car
Microsoft Deutschland GmbHCFO - Commercial Business
arvato direct services Gütersloh GmbHHead of IT
Telekom Deutschland GmbHHead CRM Strategy, Quality & Innovation
Volkswagen AGHead of Volkswagen Data Labs
Kaufland Stiftung & Co. KGManaging Director International Customer Marketing
MAN Truck & Bus Deutschland GmbHProject Lead CRM & Online Communications







Supplier 6


Day 1
8:00Visitor Registration
10:25Coffee Break
10:40Networking Session 1
• Supplier Meetings
• One-on-one Leader Meetings
• Leaders Circle
11:10Networking Session 2
• Supplier Meetings
• One-on-one Leader Meetings
• Leaders Circle
11:40Networking Session 3
• Supplier Meetings
• One-on-one Leader Meetings
• Leaders Circle
12.10Networking Session 4
• Supplier Meetings
• One-on-one Leader Meetings
• Leaders Circle
12:40Lunch with Networking
14:50Networking Session 5
• Supplier Meetings
• One-on-one Leader Meetings
• Leaders Circle
15:20Networking Session 6
• Supplier Meetings
• One-on-one Leader Meetings
• Leaders Circle
15:50Networking Session 7
• Supplier Meetings
• One-on-one Leader Meetings
• Leaders Circle
16:20Networking Session 8
• Supplier Meetings
• One-on-one Leader Meetings
• Leaders Circle
16:50Networking Session 9
• Supplier Meetings
• One-on-one Leader Meetings
• Leaders Circle
18:30Networking Session 10
• Supplier Meetings
• One-on-one Leader Meetings
• Leaders Circle
20:00Networking Dinner Lounge with Live Music - Chill Out After an Exciting Day
Day 2
9:40Networking Session 11
• Supplier Meetings
• One-on-one Leader Meetings
• Leaders Circle
10:10Networking Session 12
• Supplier Meetings
• One-on-one Leader Meetings
• Leaders Circle
11:40Coffee Break
11.00Networking Session 13
• Supplier Meetings
• One-on-one Leader Meetings
• Leaders Circle
11:30Networking Session 14
• Supplier Meetings
• One-on-one Leader Meetings
• Leaders Circle
12:00Networking Session 15
• Supplier Meetings
• One-on-one Leader Meetings
• Leaders Circle
12:30Lunch with Networking
14:40Networking Session 16
• Supplier Meetings
• One-on-one Leader Meetings
• Leaders Circle
15:10Networking Session 17
• Supplier Meetings
• One-on-one Leader Meetings
• Leaders Circle
16:15Wrap-up and Closing Ceremony


Types Of Projects to be Discussed (Excerpt)
Big Data Strategy
Data Security
Big Data Cloud Applications
Social Media Analytics
Process Optimization
Data Warehouse
Smart Data Management in R&D
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



Joseph-Schumpeter-Allee 1
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Phone +49 228 4334 5000


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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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