Big Data Strategy Dialog, 13th-14th May 2019

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.

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

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

Attendees List (Excerpt)

Company	Role
Parfümerie Douglas	Head of Data Analytics
HARTMANN Group	Senior Vice President IT
SMA Solar Technology AG	Executive Vice President Digital
HRS Group	Director Central BI
VHV Gruppe	Chief Risk Officer
Volkswagen AG	Data Scientist
LSAG	CDO
Siemens Power Generation Services	Head of Digitalisation
ZF Friedrichshafen AG	Application Data Management International
Deutsche Telekom AG	Vice President BMS & Transformation
Procter & Gamble	Chief Engineer Mainline Diaper Platform
AOK Baden Württemberg	Head of BI
Deutsche Telekom ISP GmbH	Senior Innovation Evangelist
Merck Group	Director Digital Transformation
Lohmann GmbH & Co. KG	Global Head of IT
KODAKOne	CTO
Continental AG	VP Corporate Processes and Standards
BuildingMinds (Schindler)	COO
Welthungerhilfe	CIO
Maxion Wheels	VP Global Operational Excellence and Quality
thyssenkrupp Materials Services	Head of Data Analytics & BI
HOYER Group	Head of Sales
AOK Nordost	Geschäftsführer GeWINO
FedEx	Managing Director Data Management International
SAP SE	Chief Innovation Architect
FactSet	VP, Director Market Development
Taros Chemicals	Senior Vice President Drug Discovery
Vodafone	Global Head of IoT and UCC Operations

Attendees List (Excerpt)

Company	Role
Parfümerie Douglas	Head of Data Analytics
HARTMANN Group	Senior Vice President IT
SMA Solar Technology AG	Executive Vice President Digital
HRS Group	Director Central BI
VHV Gruppe	Chief Risk Officer
Volkswagen AG	Data Scientist
LSAG	CDO
Siemens Power Generation Services	Head of Digitalisation
ZF Friedrichshafen AG	Application Data Management International
Deutsche Telekom AG	Vice President BMS & Transformation
Procter & Gamble	Chief Engineer Mainline Diaper Platform
AOK Baden Württemberg	Head of BI
Deutsche Telekom ISP GmbH	Senior Innovation Evangelist
Merck Group	Director Digital Transformation
Lohmann GmbH & Co. KG	Global Head of IT
KODAKOne	CTO
Continental AG	VP Corporate Processes and Standards
BuildingMinds (Schindler)	COO
Welthungerhilfe	CIO
Maxion Wheels	VP Global Operational Excellence and Quality
thyssenkrupp Materials Services	Head of Data Analytics & BI
HOYER Group	Head of Sales
AOK Nordost	Geschäftsführer GeWINO
FedEx	Managing Director Data Management International
SAP SE	Chief Innovation Architect
FactSet	VP, Director Market Development
Taros Chemicals	Senior Vice President Drug Discovery
Vodafone	Global Head of IoT and UCC Operations

May 13, 2019	Activity
8:00	Visitor Registration
9:00	Opening
9:15	Digital Business Models based on AI and IoT Sinanudin Omerhodzic, Senior Vice President IT, HARTMANN Group
9:50	The Impact of Digital Disruption on Business Models, Culture and Technology Nils Vieth, Chief Innovation Architect, SAP
10:25	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 Prof. Dr. Thomas Zahn, Head of fib Research Institute, bbw University of Applied Sciences
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	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 Dr. Markus Czanta, Director Digital Transformation, Merck Group
15:00	Bridging the Gap between the Data and the Business World Vijay Pravin Maharajan, Data Scientist, Volkswagen AG
15:30	Networking Session 5 • Supplier Meetings • One-on-one Leader Meetings • Leaders Circle
16:00	Networking Session 6 • Supplier Meetings • One-on-one Leader Meetings • Leaders Circle
16:30	Coffee Break with Networking
16:45	Networking Session 7 • Supplier Meetings • One-on-one Leader Meetings • Leaders Circle
17:15	Networking Session 8 • Supplier Meetings • One-on-one Leader Meetings • Leaders Circle
17:45	Security, Data Protection and Ethics - Fundaments of a Sustainable Digitalisation Borislav Tadić, Vice President BMS & Transformation, Data Privacy, Legal, and Compliance, Deutsche Telekom AG
18:15	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 Volker Brendel, CTO, KODAKOne
18:45	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 Wald Westerlinck, Vice President Global Operational Excellence and Quality, Maxion Wheels
19:15	Apéro at the wine bar - Chill out after an exciting day!
May 14, 2019	Activity
9:00	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. Sönke Iwersen, Director Central BI, HRS Group
9:30	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 Jens Müller, COO, BuildingMinds
10:00	Networking Session 9 • Supplier Meetings • One-on-one Leader Meetings • Leaders Circle
10:30	Networking Session 10 • Supplier Meetings • One-on-one Leader Meetings • Leaders Circle
11:00	Coffee Break with Networking
11:15	Networking Session 11 • Supplier Meetings • One-on-one Leader Meetings • Leaders Circle
11:45	Networking Session 12 • Supplier Meetings • One-on-one Leader Meetings • Leaders Circle
12:15	Lunch with Networking
13:15	Data Governance in Large Corporations in Times of Big Data and Smart Analytics Martin Treder, Managing Director Data Management International, FedEx
13:15	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 Ralph Köppel, Head of BI, AOK Baden Württemberg
13:45	Launching an AI based e2e Asset Management Dr. Tim Fischer, Director Customer Engagement Strategy, Merck KGaA
14:15	New 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
14:45	Wrap-up and closing discussion

Day 1

May 13, 2019	Activity
8:00	Visitor Registration
9:00	Opening
9:15	Digital Business Models based on AI and IoT Sinanudin Omerhodzic, Senior Vice President IT, HARTMANN Group
9:50	The Impact of Digital Disruption on Business Models, Culture and Technology Nils Vieth, Chief Innovation Architect, SAP
10:25	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 Prof. Dr. Thomas Zahn, Head of fib Research Institute, bbw University of Applied Sciences
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	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 Dr. Markus Czanta, Director Digital Transformation, Merck Group
15:00	Bridging the Gap between the Data and the Business World Vijay Pravin Maharajan, Data Scientist, Volkswagen AG
15:30	Networking Session 5 • Supplier Meetings • One-on-one Leader Meetings • Leaders Circle
16:00	Networking Session 6 • Supplier Meetings • One-on-one Leader Meetings • Leaders Circle
16:30	Coffee Break with Networking
16:45	Networking Session 7 • Supplier Meetings • One-on-one Leader Meetings • Leaders Circle
17:15	Networking Session 8 • Supplier Meetings • One-on-one Leader Meetings • Leaders Circle
17:45	Security, Data Protection and Ethics - Fundaments of a Sustainable Digitalisation Borislav Tadić, Vice President BMS & Transformation, Data Privacy, Legal, and Compliance, Deutsche Telekom AG
18:15	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 Volker Brendel, CTO, KODAKOne
18:45	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 Wald Westerlinck, Vice President Global Operational Excellence and Quality, Maxion Wheels
19:15	Apéro at the wine bar - Chill out after an exciting day!
May 14, 2019	Activity
9:00	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. Sönke Iwersen, Director Central BI, HRS Group
9:30	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 Jens Müller, COO, BuildingMinds
10:00	Networking Session 9 • Supplier Meetings • One-on-one Leader Meetings • Leaders Circle
10:30	Networking Session 10 • Supplier Meetings • One-on-one Leader Meetings • Leaders Circle
11:00	Coffee Break with Networking
11:15	Networking Session 11 • Supplier Meetings • One-on-one Leader Meetings • Leaders Circle
11:45	Networking Session 12 • Supplier Meetings • One-on-one Leader Meetings • Leaders Circle
12:15	Lunch with Networking
13:15	Data Governance in Large Corporations in Times of Big Data and Smart Analytics Martin Treder, Managing Director Data Management International, FedEx
13:15	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 Ralph Köppel, Head of BI, AOK Baden Württemberg
13:45	Launching an AI based e2e Asset Management Dr. Tim Fischer, Director Customer Engagement Strategy, Merck KGaA
14:15	New 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
14:45	Wrap-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

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.

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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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.

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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.

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.

Business Matching