
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.
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.
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.
Xaver Frauenknecht
CEO
Bamberg Hospitals
Big Data and Digitization in the Health Care Sector
Marcos Dreher
Head of Global Market Research and Intelligence
Paul Hartmann AG
Data-analytic Thinking as a Strategic Tool
Dr. Andreas Nawroth
Head of Data Analytics
MunichRe Group
Machine Learning and Big Data at MunichRe
Dr. Markus Schmidberger
Head of Data Engineering
Scout24 Group
From DWH to Data Lake – a Data Culture Transformation
Nataliya Bauhuber
Pacemaker Daimler Leadership 2020
CFO Mercedes-Benz Leasing Croatia & Slovenia
Daimler AG
Leadership 2020: Cultural Change at Daimler
- Leadership 2020: An organizational approach to get the most out of digitization and globalization
- New leadership principles
- How to create cultural change internally
- Digital transformation, crowd organization, agility and incubators
Oliver Wildenstein
Manager IT Governance, Compliance and Process Management
MLP
Process Mining Best Practice
Dr. Jan Daniel
Senior Vice President
Product Management VB Logistics
DB Cargo Logistics GmbH
How Big Data Analytics Revolutionizes The Rail Cargo Wagons Disposition at DB Cargo Logistics
Markus Schwarzenböck
Executive Vice President Global HR Business Partners
Siemens AG
Agility and Organisational Change in a Large Corporation
Dr. Zeljko Cancarevic
Head of Simulation and Innovation
Georgsmarienhütte GmbH
STEEL 4.0 – Industry 4.0 and the Big Data Challenge
Ansgar Schneider
Director Product Management, Campaign & Data
PAYBACK GmbH
Realtime Marketing Based on Big Data Technologies
Martin Treder
MD Data Management International
FedEx Express
Managing Cross-cutting BI Initiatives
- Leadership in cross-cutting strategic BI projects
- Standardization and centralization in data management
- Data governance
Jens Kaatze
Senior Vice President, Head of Commercial Operations Europe, Middle East, Africa, Latin America
Business Unit Polycarbonates
Covestro Deutschland AG
Digitalization in the Chemical Industry
- A holistic approach
- New ways to customer interaction
- New business models
- Efficiency gains and step changes in maintenance
Gerald Schinagl
Digital Innovation Manager
ÖBB BCC GmbH
Developing an Enterprise Big Data Plattform
- Bridging the gaps between project scale and enterprise scale
- Preventing a data lake from becoming a data swamp
- Transforming IT into a big data and analytics organisation
- Processes and governance to grant analytic potential, quality, unambiguity and connectivity of data
Dr. Florian Sallmann
Country Functional Head Distribution Strategy
Generali Deutschland AG
Insurance Sales in the Big Data Age
Company | Role |
Time | Activity | |
8:00 | Visitor Registration | |
9:00 | Opening | |
9:15 | Realtime Marketing Based on Big Data Technologies Ansgar Schneider, Director Product Management, Campaign & Data, PAYBACK GmbH | ![]() |
9:50 | Big Data and Digitization in the Health Care Sector Xaver Frauenknecht, CEO, Bamberg Hospitals | ![]() |
10:25 | Managing Cross-cutting BI Initiatives Martin Treder, MD Data Management International, FedEx Express | ![]() |
11:00 | Coffee break with networking | |
11:30 | Networking Session 1 • Supplier Meetings • One-on-one Leader Meetings • Leaders Circle | ![]() ![]() |
12:00 | Networking Session 2 • Supplier Meetings • One-on-one Leader Meetings • Leaders Circle | ![]() ![]() |
12:30 | Networking Session 3 • Supplier Meetings • One-on-one Leader Meetings • Leaders Circle | ![]() ![]() |
13:00 | Networking Session 4 • Supplier Meetings • One-on-one Leader Meetings • Leaders Circle | ![]() ![]() |
13:30 | Lunch with Networking | |
14:30 | Developing an Enterprise Big Data Plattform Gerald Schinagl, Digital Innovation Manager, ÖBB BCC GmbH | ![]() |
15:00 | Leadership 2020: Cultural Change at Daimler Nataliya Bauhuber, Pacemaker Daimler Leadership 2020, CFO Mercedes-Benz Leasing Croatia & Slovenia, Daimler AG | ![]() |
15:30 | Coffee break with networking | |
16:00 | Networking Session 5 • Supplier Meetings • One-on-one Leader Meetings • Leaders Circle | ![]() ![]() |
16:30 | Networking Session 6 • Supplier Meetings • One-on-one Leader Meetings • Leaders Circle | ![]() ![]() |
17:00 | Networking Session 7 • Supplier Meetings • One-on-one Leader Meetings • Leaders Circle | ![]() ![]() |
17:30 | Networking Session 8 • Supplier Meetings • One-on-one Leader Meetings • Leaders Circle | ![]() ![]() |
18:00 | Process Mining Best Practice Oliver Wildenstein, Manager IT Governance, Compliance and Process Management, MLP | ![]() |
18:35 | Digitalization in the Chemical Industry Jens Kaatze, Senior Vice President, Head of Commercial Operations Europe, Middle East, Africa, Latin America, Business Unit Polycarbonates, Covestro Deutschland AG | ![]() |
19:15 | Afterwork wine bar networking |
Time | Activity | |
8:30 | From DWH to Data Lake – a Data Culture Transformation Dr. Markus Schmidberger, Head of Data Engineering, Scout24 Gruppe | ![]() |
9:05 | STEEL 4.0 – Industry 4.0 and the Big Data Challenge Dr. Zeljko Cancarevic, Head of Simulation and Innovation, Georgsmarienhütte GmbH | ![]() |
9:40 | How Big Data Analytics Revolutionizes The Rail Cargo Wagons Disposition at DB Cargo Logistics Dr. Jan Daniel, Senior Vice President, Product Management Logistics, DB Cargo Logistics GmbH | ![]() |
10:25 | Coffee break with networking | |
11:00 | Networking Session 9 • Supplier Meetings • One-on-one Leader Meetings • Leaders Circle | ![]() ![]() |
11:30 | Networking Session 10 • Supplier Meetings • One-on-one Leader Meetings • Leaders Circle | ![]() ![]() |
12:00 | Networking Session 11 • Supplier Meetings • One-on-one Leader Meetings • Leaders Circle | ![]() ![]() |
12:30 | Networking Session 12 • Supplier Meetings • One-on-one Leader Meetings • Leaders Circle | ![]() ![]() |
13:00 | Lunch with Networking | |
14:00 | Data-analytic Thinking as a Strategic Tool Marcos Dreher, Head of Global Market Research and Intelligence, Paul Hartmann AG | ![]() |
14:35 | Agility and Organisational Change in a Large Corporation Markus Schwarzenböck, Executive Vice President Global HR Business Partners, Siemens AG | ![]() |
15:10 | Machine Learning und Big Data bei MunichRe Dr. Andreas Nawroth, Head of Data Analytics, MunichRe Group | ![]() |
15:45 | Wrap-up and Closing Ceremony |
- 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
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.