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22nd of March 2018, Stockholm
Data Innovation Summit
Innovate through your data
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DATA INNOVATION SUMMIT


Data Driven Business ⚬ Data Driven Communication ⚬ Data Driven Products ⚬ Data Driven Insight & Decision






Speakers


Speakers are what make events stand out. Data Innovation Summit is bringing the most innovative minds, practitioners, experts and thinkers on three stages to inspire and present to the delegates new innovative ways to work and innovate through their data.





Thanks to our 2017 Speakers
EDUCATE - ENGAGE - EXCITE - EMPOWER


Henrik Gothberg
Henrik Göthberg
Data & Analytics Transformation Lead

Vattenfall

Errol Koolmeister
Errol Koolmeister
Managing Director

Moubi Analytics

Giovani_Leoni_IKEA_DIS_2017
Giovanni Leoni
Business Analytics Change Leader

IKEA

Andrea_Burbank_Pinterest_DIS_2017
Andrea Burbank
Data Scientist

Pinterest

Carl_Svard_Schibsted_DIS_2017
Carl Svärd
Data Scientist

Schibsted Media Group

Rosenhain Federico
Håkan Gustavsson
Enterprise Architect at Corporate IT Innovation & Digitalization team

ICA Gruppen AB

Johan Magnusson
Johan Magnusson
PhD, Associate Professor

University of Gothenburg

Toni Jarimo
Toni Jarimo
Director, Marketing and Web Analytics

Kesko

Alejandra Neyra
Alejandra Neyra
Data Analyst / CRM Manager

Council of International Schools

Ruth Sommar
Ruth Sommar
IIW Model Manager

Folksam

Serge de Gheldere
Serge de Gheldere
CEO

Futureproofed

Wilhelm Landerholm
Wilhelm Landerholm
Numerati/Data Scientist

Queue AB

Jorge Davila� Chacon
Jorge Davila� Chacon
Data Scientist

Collect AI GmbH

Lars Albertsson
Lars Albertsson
Founder & Data Engineer

Mapflat

Luke Whelan
Luke Whelan
Business Analytics Lead

Linkedin

Luke Whelan
Dr. Kashif Rasul
Data Scientist

Zalando SE

Morten Bunes Gustavsen
Morten Bunes Gustavsen
Head of Quantitative Strategies

DNB Asset Management

Henrik Pedersen
Henrik Pedersen
Manager in Diagnostic Intelligence

Siemens Wind Power Diagnostic Center

Mikhail Zhilkin
Mikhail Zhilkin
Lead Data Scientist

Kambi

Mina Bostrom Nakicenovic
Mina Boström Nakicenovic
Development Manager

FIS Front Arena

Magnus Eriksson
Magnus Eriksson
Data Scientist

Paradox Interactive

Erik Dahlberg
Erik Dahlberg
Senior Data Scientist

Klarna

Anwar Sulaiman
Anwar Sulaiman
Data Governance Officer

NetEnt

Henrik Falldin
Henrik Fälldin
Data Analytics Specialist, Digital Engineering

Skanska UK

Shirish Tatikonda
Shirish Tatikonda
Principal Data Engineer

Target Corporation

Markus Ritkola
Markus Rytkölä
Senior Director PreSales

Qlik

Martin Hehrne
Martin Hehrne
Measurement Lead

Facebook

Jonne Heikkinen
Jonne Heikkinen
Data Science Manager

Solita

Steve Sarsfield
Steve Sarsfield
Product Marketing Manager

HPE Vertica

Styrbjorn Torbacke
Styrbj�rn Torbacke
Managing Director

Zoined Oy

Jesper Leth
Jesper Leth
Application Engineer

Stibo Systems

Diego Galar
Diego Galar
Professor

Luleå University of Technology

Peter Wellan
Peter Wallin
Head of Group Analytics

Hoist Finance

Kurt Muehmel
Kurt Muehmel
VP Sales & Partnership, EMEA

Dataiku

Jeremy Hillier
Jeremy Hillier
Product Manager

Valo

Pawel_Surmak
Pawel Surmak
Head of Security Operations

T-Mobile Polska S.A.

Martin Willcox
Martin Willcox
Senior Director, Go-to Market Organisation

Teradata

Zunnoor Tarique
Zunnoor Tarique
Practice Partner Data Science

Teradata

Alexander Kaffenberger
Alexander Kaffenberger
Senior Business Development Manager

Fujitsu

Jens Helstrup
Jens Helstrup
Presales Consultant

Talend

/Abhas Ricky
Abhas Ricky
Head of Strategy & Innovation, EMEA

Hortonworks

Chris Darvill
Chris Darvill
Director Sales Engineering EMEA

Cloudera

Lisa Neddam
Lisa Neddam
Leader, Cloud Data Services Europe

IBM

Laura Avonius
Laura Avonius
Director, Digital Innovations,

Aller Media

Teemu Birkstedt
Teemu Birkstedt
Founder

Bigdatapump

Robert Luciani
Robert Luciani
Data Science Expert

Laketide

Peter Walker
Peter Walker
Vice President � EMEA North

Information Builders

Schedule

The 2018 agenda is in making. Apply to Speak!
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Bringing the DATA world to SWEDEN

It is such a pleasure to see that Data Innovation is becoming a topic of discussion in many organisations and that the interest for the event is getting higher. The 2016 edition of the event was fantastic but now it is time to take it to next level. Our aspiration is to make the summit one of the leading events on this topic globally, and a natural place where new ideas and technology will be presented. The recent interest from international practitioners and technology providers makes us confident that we are on the right track.

For the 2017 edition of the summit we are increasing the investment in the event and bringing some new amazing presenters, technology providers and several new features. We are moving the event to a new and spectacular venue and increasing the number of tracks and presentations while providing more time for organic networking and in-depth discussion. The new event app will enable more informative and digital experience and maximize the engagement before and during the event. As in the 2016 edition of the event we will continue with the short 15 min presentation, something that we see now it has been widely adopted by our peers as a new standard for a presentation duration and time management. We are also bringing a new exciting and transparent way to experience the potential of the technology and services presented by the exhibitors on-site.

In terms of content the 2016 edition lays down the foundation for data-driven innovation. It brought light to the macro drivers, the challenges, the implications and the solutions. The 2017 edition will bring more practical case studies on how and real examples of putting data innovation into practice. There will be three stages.The Innovation Stage will focus on clear examples of Data Innovation and its impact to the business or society, the Analytics Stage will focus on practical case studies on implementation of analytics and data science capabilities and technology in an organization, and the Data Management stage will focus on Data Management as a foundation for data innovation.

It gives me a great pleasure to welcome you all to the 2017 edition of Data Innovation Summit. It is going to be bigger, more educational, more practical, more exciting and more engaging.

Join us. We have a lot to discuss.

PS: As we are now working on the speaker and partner list, if you are working on a data-driven project or technology that will change the way how organisations approach business and decision making, contact us, we would love to hear about it.

40+
speakers

on stage

12
hours

of premium content

300
minutes

of pure networking

300+
participants

expected

Founding Partner

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  • Teradata.
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Partners 2017

  • Solita analytics.
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  • dynamoanalytics.
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  • Hortonworks.
  • knowit.
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  • dataiku.
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  • alteryx.
  • harnahm.
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  • acando.
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  • ibm.
  • webstep.
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  • cloudera.
  • sponsor-0.
  • talend.
  • valo.
  • sponsor-0.
  • Futjitsu.
  • sponsor-0.
  • Big data pump.
  • Information builders.
  • sponsor-0.
  • Bureau van dijk.
  • sponsor-0.
  • Neos.
  • .
Thanx to our 2017 Media Partners

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  • Iu magazine.
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Thanks to our 2017 Speaker Companies

Thanks to our 2017 Supporting Partners

Videos

Interviews and more

Think Big Velocity Services
Think Big Velocity Services
Think Big Velocity Services
Think Big Velocity Services
Volvo Cars uses the Internet of Things to enhance their customer�s driving experience and enable new business opportunities globally
Volvo Cars uses the Internet of Things to enhance their customer�s driving experience and enable new business opportunities globally
Siemens: Capitalizing on Digitization, the Internet of Things, Automation and the Cloud
Siemens: Capitalizing on Digitization, the Internet of Things, Automation and the Cloud
Siemens: Building a Smart City with Internet of Things
Siemens: Building a Smart City with Internet of Things
The Solitude of the Data Team Manager
The Solitude of the Data Team Manager" by Florian Douetteau, Dataiku
Voyage Prive and Dataiku: Smart User Segmentation for Targeted Recommendations
Voyage Prive and Dataiku: Smart User Segmentation for Targeted Recommendations
The 3 Key Barriers Keeping Companies from Deploying Data Products
The 3 Key Barriers Keeping Companies from Deploying Data Products
Interview with Julian Scholz, Exasol
Interview with Julian Scholz, Exasol
Why should all businesses explore Data Driven Innovation?
Why should all businesses explore Data Driven Innovation?
How to start and embed analytics in your company DNA
How to start and embed analytics in your company DNA
Advanced data techniques, data discovery & real-time data applications
Advanced data techniques, data discovery & real-time data applications
Challenges and Benefits of Data Visualization & Data Governance
Challenges and Benefits of Data Visualization & Data Governance
Data Science and Analytics in Industry - Interview with Diego Galar
Data Science and Analytics in Industry - Interview with Diego Galar
The era of cognitive business - Interview with Torben Noer from IBM
The era of cognitive business - Interview with Torben Noer from IBM
The emerging discipline of Data Science
The emerging discipline of Data Science
The importance of Governing BI and Analytics - Interview with James Richardson
The importance of Governing BI and Analytics - Interview with James Richardson
Data Monetization Strategies - Interview with Rado Kotorov
Data Monetization Strategies - Interview with Rado Kotorov
Prescriptive Analytics & ITL Processing - Interview with Ashwin Desikan
Prescriptive Analytics & ITL Processing - Interview with Ashwin Desikan
Prerequisites for Data Innovation - Interview with Johan Magnusson
Prerequisites for Data Innovation - Interview with Johan Magnusson
Driving value from data - Interview with Katarina Hansson
Driving value from data - Interview with Katarina Hansson
Data driven tools & insights in the disruptive television business
Data driven tools & insights in the disruptive television business
 A Data Scientist perspective on disruptive television business
A Data Scientist perspective on disruptive television business
Data & analytics as drivers for business development & innovation
Data & analytics as drivers for business development & innovation
Big data & analytics = big problems?
Big data & analytics = big problems?
Modern on-premise and cloud based data centers
Modern on-premise and cloud based data centers
The business value of Apache Hadoop
The business value of Apache Hadoop
Customer Analytics Innovation: reimagining customer journey
Customer Analytics Innovation: reimagining customer journey
The Secret Weapon of Digital Advertisers
The Secret Weapon of Digital Advertisers
An introduction to Data Warehouse Automation
An introduction to Data Warehouse Automation
Interview with Magnus Carlsson, Acando Sweden
Interview with Magnus Carlsson, Acando Sweden
IInterview with Jonas Karlsson, Idevio
IInterview with Jonas Karlsson, Idevio

Gallery

Pictures from Data Innovation Summit 2017

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Whitepapers

TDWI: Governing Big Data and Hadoop
Get ready to take operational analytics and a 360-degree view of customers to a whole new level with big data. Download this new Checklist Report from TDWI.

O'Reilly Report: Data Science for Modern Manufacturing
Leading analyst firm Gartner, Inc. has positioned Talend in the Leaders Quadrant of its latest Magic Quadrant for Data Integration Tools report*. Having recently gone public on the NASDAQ exchange (TLND), we here at Talend are thrilled to share with you that we are both the first ever open source- based company to be added to the Leaders Quadrant and the first new vendor Leader in five years.

2016 Gartner Magic Quadrant for Data Integration Tools Report
Leading analyst firm Gartner, Inc. has positioned Talend in the Leaders Quadrant of its latest Magic Quadrant for Data Integration Tools report*. Having recently gone public on the NASDAQ exchange (TLND), we here at Talend are thrilled to share with you that we are both the first ever open source- based company to be added to the Leaders Quadrant and the first new vendor Leader in five years.

TDWI report: Why Your Next Data Warehouse Should Be in the Cloud
The Cloud model lowers the barriers to entry especially cost, complexity, and time-to-value�that have traditionally limited the adoption and successful use of data warehousing technology.

6 Key Trends for IT Decision-Makers in 2017 and Beyond
Mhe Cloud model lowers the barriers to entry especially cost, complexity, and time-to-value that have traditionally limited the adoption and successful use of data warehousing technology.

Real World Strategies for Big Data
More organizations today are realizing that there is tremendous value locked away within their big data, and are seeking to tap into it to improve operations, boost revenues, and gain a competitive edge. When asked to list their top IT priorities in a recent survey, only 6 percent of companies didn't include big data in their top ten.

It's a Big Data World: Embrace the Disruption
Data output is growing at an astonishing rate. Ninety percent of the world's data has been generated in the last two years.And by 2020, every human being on the planet will produce an estimated 1.7 megabytes of new information every second.

The 8 Worst Practices in Master Data Management and How to Avoid Them
Today's business world changes at a breath-taking pace even agile enterprises must work hard to keep up. And just as rapidly, companies are uncovering new competitive advantages through the increased use of big data including non-traditional data, such as mobile, social media, and sensor data, as well as advanced analytics, often in real time.

The Top Five Worst Practices in Business Intelligence
Many business intelligence (BI) implementations don't deliver the anticipated results. In a 2015 study conducted by Dresner Advisory Services, only 35 percent of companies polled said they completely agree that they've had success with BI.

Four Actions for a Chief Data Officer's First Year
Data has become such a crucial asset for so many organizations, prompting some to create a role specifically to oversee it's the chief data officer (CDO). According to Forrester, the new position arose from a growing awareness of the value of data, and recognition of an inability to take advantage of the opportunities that it provides either due to technology, business, or basic cultural barriers.

Climb the mountain of your data
In the recent years, the term Big Data shifted from being a hype to one of the main important challenges in global business. Even if the idea of Big Data was first mentioned in an article in 1997, it took 15 years until it got the attention it deserves.

It's Data Quality's World,We�re Just Living in It
In an age when technology is quite literally a part of everything we do, data rules the day. Consider the number of devices that you interact with on a regular basis.

End-to-End Visibility: From Customer & Product Lifecycles to the Connected Car
In the face of changing economic and operating conditions, automotive manufacturers need insights that can help them take action to outmaneuver challenges from old and new competitors.

Changing the game with IoT
The study and exploitation of complex systems requires a deeper understanding of a data domain and the ability to capture relationships with other adjacent domains. Take, for example, proteomics, the large-scale study of protein function and interaction.

Your Business Will Be Attacked. How Safe is Your Most Valuable Asset?
Organizations network data are under constant attack.The data can be used by hackers to blackmail or embarrass companies, exploit or sell customer financial information, or steal company trade secrets and intellectual property to sell as their own.

Using R and Python in the Teradata Database By Tim
The ever-growing field of advanced analytics presents Teradata users with many solutions for their mathematical and statistical tasks. In this field, R and Python are two of the most popular and influential open source scripting languages.

3 Tips for Turning Your Finance Department into a Value-Adding Machine
Today, more than ever, finance keeps the heartbeat of an organization. Few responsibilities are more important to a company than providing the CFO a timely, reliable, and unified picture of the monetary health of the business.

Lessons from Retailers about Achieving Operational Excellence
In Anna Karenina, Tolstoy wrote the immortal lines, �Happy families are all alike; every unhappy family is unhappy in its own way.That sounds good when we are talking about marriage, but it doesn't quite work for businesses companies can achieve success in a variety of different ways, as there's no single recipe for success.

The IOT is all about data - not about technology for technology's sake
According to Martin Willcox, Director of Teradata's Big Data Centre of Excellence, we should ask not what the Industrial Internet and the Internet of Things (loT) mean to the manufacturing and process industries, but what it could mean.

Advanced Analytics, The Modern Marketer's Best Friend
Good marketing starts with in-depth knowledge of who your customers are and what they want. Today, advanced analytics makes this more possible than ever before.

Data Science For Banking & Insurance
Established tech giants and startups alike have been clamoring for a seat at the table in the banking and insurance industries. Adapting to this new reality means using the tools of the newcomers� trade - data science, big data, and algorithms - and supplementing those technologies with the unique assets and strengths of traditional banking and insurance companies.

The 5 Key Challenges to Building a Successful Data Lab
Companies that create their own data labs face a number of obstacles as they ramp-up their operations. Many of these challenges are centered on the need for collaboration between IT and Business profiles. Common mistakes, such as using static data or not thoroughly planning a solution�s implementation, can trip up a young data lab before it completes its first proof-of-concept.

Using automation software to increase development productivity
The answer to The Body Shop�s data problems wasn�t simply a new Data Warehouse � it involved designing and building a completely new data management solution. In less than six months, a team of Body Shop developers using WhereScape software worked to plan and develop a newer, more functional system, which would deliver significant business value.

Agile Data Warehouse Development: Realising business value quickly at Tesco
Using WhereScape RED, Tesco successfully created an integrated reporting application for global promotions in six months, smashing the previous three year development forecast.

Using Sensor Data from Trucks to Improve Profitability
A leading automotive company needed to combine sensor data with operational data to deliver compelling offers, provide greater customer service and improve profitability.

Thinking Big Data - Think PaaS: Leveraging the cloud delivery model for Big Data
A Nordic survey on Big Data and Hadoop1 indicated that 92 percent of IT managers of 300 major companies in the Nordics believe that actionable insights acquired from new data analytics would give their company a competitive advantage. More than half (63 percent) saw a need to collect these new types of data, yet many were constrained by traditional databases and systems, ill-equipped to store, process and analyze this data.

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