Value Pack

Data Management Stage

Data Management (DM) Stage is one of the 5 stages you can attend during the third annual Data Innovation Summit 2018 in Stockholm. In this presentation you can explore the Data Management stage in detail, and learn why you and your team should attend the event and this stage. Once you have registered for the summit you can attend any of the five stages on the summit. Here we go!

Why attend

Data Management Stage

Strategy, Implementation and Preparation

Businesses today talk a great deal about being data driven. Generating and collecting more data does not mean being data-driven. Organizations need to be able to effectively leverage their data to make decisions and drive new initiatives. And to do that, organisations need to have the right and reliable data to work with.

In most of today’s organisations data sources exist in silos, which makes it difficult to get a complete picture of an organisation’s data assets, and a lack of governance means data must be cleansed and standardised before it can be used., which takes a lot of time. Just as an example, according to latest research Data Scientists spend 80% of their time to data preparation rather than mining and modelling data.

To add in context, AI, IOT, AR, Big Data, Cloud, Data Science, GDPR have taken the information management discussions by storm. The fact is that most of organisations do not have the right data management strategy and data infrastructure to keep up with these technology and regulatory changes; and trends.

Data management is prerequisite to data driven business. On this year’s edition, we will go through some of the best data management strategies and techniques when it comes to Data Governance, Data quality, Privacy by Design, Modern Enterprise Architecture, Data warehousing, Data Preparation, Integration, Data Mining, Feature extraction and much more.

All presentations last 18 minutes + 2 min for quick Q&A.

What you will learn

  • Becoming a Data Driven Organisation – Keys to Success - Marius Reichard, Continental AG
  • How to create and sustain a Data Governance Program - David Dadoun, The Aldo Group
  • Do No Harm: Increasing Ethics in Innovation through Data Governance -Rutendo A Urenje, International Organization for Migration
  • Before we march into AI, let’s make sure our data is good
  • Big Data, Big Quality?
  • A road map “from a lot of data to Big Data” - Thomas W. Köhl, Link Mobility Group; Andreas S. Jensen, Link Mobility Group
  • Integrating data warehouse architecture with big data technology
  • How to Build a Modern Cloud Environment to Meet New Business Demands
  • Enterprise Data Lake Design and Deployment
  • Building, Applying and Evolving Knowledge Graphs in Organizations – Dimensions, Methods and Challenges - Panos Alexopoulos, Textkernel BV
  • Feature Engineering - Getting most out of data for predictive models
  • Using GPUs to accelerate data discovery and visual analytics
Speakers are the ones who make events unforgettable, exciting and insightful.

Here are some of the awesome speakers on the Data Management Stage

David Dadoun

Director – Business Intelligence and Data Governance

The Aldo Group

David Dadoun is currently the Aldo Group's Director of Business Intelligence and Data Governance. Prior to joining the Aldo Group he was the Director of a BI practice for the Keyrus Group. Over the last 15 years David Dadoun has advised a broad number of companies in the selection and implementation of BI tools, strategies, and roadmaps. He has managed BI projects including upgrades and migrations, and multiple BI platform deployments at small, medium, and Fortune 500 companies.

David often presents at global BI events regarding the challenges and opportunities managers face when it comes to Business Intelligence and Data Governance. He also teaches Business Intelligence and Analytics at Montreal's prestigious HEC Business School.

David holds a Bachelor of Commerce in International Business from the John Molson School of Business and an executive Masters of Business Administration from ESG Montreal and Paris-Dauphine in France.

Panos Alexopoulos

Head of Ontology

Textkernel BV

Dr. Panos Alexopoulos is Head of Ontology at Textkernel BV, leading a team responsible for the development, management and evolution of the company's knowledge graph for the Recruiting and Labour Market domain. Born and raised in Athens, Greece, Panos holds a PhD in Data and Knowledge Engineering from National Technical University of Athens, and he has more than 10 years of combined academic and industrial experience in the areas of semantic technologies and knowledge engineering. He has published more than 50 articles at international conferences, journals and books, while the output of his research has been applied in several commercial and industrial projects.

Marius Reichard

Enthusiastic Digitizer | Strategist Big Data & Advanced Analytics

Continental AG

Marius Reichard is responsible for the strategic direction of IT in the field of big data & advanced analytics at Continental. His focal points are data governance, virtual data integration and user enablement to perform self-service advanced analytics. In addition, he is avocational self- employed and guides companies through their digital journey. Marius Reichard holds a Master of Science in Business Informatics and started to focus on digitalization at E.ON in 2010.

Thomas W. Köhl

Vice President Mobile Intelligence

Link Mobility ASA

Thomas has always worked in the media industry leveraging customers’data to offer them a better experience. He is now working at Link Mobility Group, one of Europe's leading and fastest growing providers of B2C mobile messaging and mobile services. LINK believes strongly in the power of mobilizing the interaction between businesses and consumers and have developed a range of attractive solutions to meet this growing demand and market trend.


Andreas S. Jensen

Head of Technology

Andreas is Head of Mobile Intelligence technology, and is a experienced AI engineer and data scientist that are working both on a strategic and implementation level. Andreas is delivering up on the vision to applying machine learning and AI technology in a Mobile Intelligence environment.

Rutendo A Urenje

Data Governance Support Officer

International Organization for Migration

Experienced Data Governance Practitioner with a demonstrated history of working in international affairs. Skilled in Non-profit Organizations, Fundraising, Leadership, Project Management, and Customer Service. Believes the key to success in results based and evidence based programming in any enterprise revolves around data, innovation and sustainability. These are grounded in systems thinking, future thinking, values thinking, strategic thinking, critical thinking, collaboration, integrated problem-solving competence and personal competence. Rutendo holds an Undergraduate degree in Social Science and an LLB from Rhodes University, South Africa. She acquired her masters in International Human Rights Law at Lund University, Sweden. She has trained in Forced Migration at Oxford and has attained Data Governance training through the International Organization for Migration.

Register Today

Prices from 2390 SEK

About the event

The Data Innovation Summit is an annual one day event in Stockholm bringing together the most innovative minds, enterprise practitioners, technology providers, start-ups and academics, working with Data Science, Big Data, Analytics, AI, IOT and Data Management. With over 60 Nordic and international speakers on five stages and plenty of learning and networking activities in the exhibition area, the 2018 summit is the place to be for all professionals and organisations working with utilisation of data for increasing profit, reinventing business models, develop data-driven products, and increasing customer satisfaction.

Created By
Hyperight AB

Report Abuse

If you feel that this video content violates the Adobe Terms of Use, you may report this content by filling out this quick form.

To report a Copyright Violation, please follow Section 17 in the Terms of Use.