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23rd of March 2017, Stockholm, Sweden
Data Innovation Summit
Innovate through your data
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Follow-up Seminars 2016

The Data Innovation Summit is not just an event. It is a kick off to a several focus seminars throughout the year. The seminars are designed to encourage in-depth knowledge sharing and based on a roundtable discussion and workshop concept.
Delegates attending the Data Innovation Summit 2016 will have the opportunity to attend these seminars for free. Regular price is 500 SEK + VAT per seminar.

Email us on info@hyperight.com is you are interested in joining one of several of the seminars



19 April 2016 - Venue: 7A Odenplan

Business Analytics Center of Excellence (BACoE)does much more than just applying Data Science and Big Data technology to data. Its success should be measured by how much business value the program delivers,as well as by its sustainability and the extent to which it assists in incorporating the "analytical mindset" in the company’s DNA. A well-structured BACoE is the foundation for turning data into valuable insight and data Innovation.

This seminar will provide participants with the opportunity to learn and discuss the benefits and challenges of setting up a BACoE.

Preliminary Discusion points

· What is Business Analytics Center of Excellence (BACoE)? Why is it important?
· Assess your current environment first - Are you mature enough?
· What is the value of BACoE?
· What is the role of BACoE and how do you structure it so it fits your organizational needs?
· Sponsorship, resources, process, competence, training and road map needed
· How to set up a change management plan to develop and sustain your BACoE?
· How to drive innovation through BACoE?
· What is the expected “lifetime” of your current analytics setup? 6 months, 1 year, 3 years?




Schedule:
13:00 Quick Networking Session
13:30 Hyperight Café
14:00 Practical Case Study
14:30 Expert insight
15:00 Networking break
15:30 Roundtable discussion
16:45 Group summary and key takeaways
17:00 Seminar ends
24 May 2016 - Venue: 7A Odenplan

There are numerous ways to incorporate Big Data and Analytics to improve your company’s operations. But the hard truth is that there’s no one-size-fits-all approach when it comes to Big Data. There are many great examples of successful Big Data and Analytics implementation, but, if success is measured by sustainability and ROI, then there are many bad examples as well. You need to create an implementation plan which will go beyond basic understanding of your infrastructure requirements. The plan should enable better comprehension of the meaning and value of each Big Data project for your organization. Furthermore, you need to make a plan on how to make each project agile and sustainable.

This workshop seminar will look at the most important implementation steps, commonly made mistakes and ways to sustain and optimize your Big Data and analytics efforts.

Preliminary Discussion Points

· Who determines the success or failure of a big data project?
· Big Data Integration and Governance in a Multi-Platform Analytical Environment
· What are the most critical factors to drive fast adoption of big data analytics in any organization?
· Common mistakes made once implementing Big Data Technology?
· What are the most critical factors for optimizing your Big Data and Analytics project to withstand change of leadership and new business needs?
· The most important V in Big Data - Where is the Value and how to measure it?




Schedule:
13:00 Quick Networking Session
13:30 Hyperight Café
14:00 Practical Case Study
14:30 Expert insight
15:00 Networking break
15:30 Roundtable discussion
16:45 Group summary and key takeaways
17:00 Seminar ends
07 June 2016 - Venue: 7A Odenplan

As data becomes a key currency on which companies hope to gain competitive advantage and push business success, Data Science becomes the ultimate tool that all organization are or should be investing in. Digitalization is already impacting the business world in a great manner, and IoT has exponentially increased the amount of data. For that reason, among others, data science becomes the ultimate tool for companies to gain competitive advantage and accelerate/enhance/increase business success.

This benchmarking seminar will provide participants with the opportunity to learn and discuss how different organizations utilize Data Science for innovation of their business offerings and improvement of internal processes and customer experience. Furthermore, how to effectively use analytics models and techniques including, but not limited to, Big Data, Predictive modelling, Machine learning, sentiment analysis and other tools.

Preliminary discusion points

· Principles of Data Science in Business
· Harnessing the Power of Data Science
· How to focus on innovation through data science in the most meaningful way for the organization?
· Agile Methodologies for Data Science Projects
· Discuss trending technologies such as the language Julia, GPU accelerated ML, etc…
· Do you prefer on-prem infrastructure or public cloud for analytics platform?
· For greater performance, do you scale out your platform or do you revise data structures / algorithms?
· What do you benchmark against when reasoning about accuracy of predictive models?
· Why developing an achievable “vision” to make a company data-driven is more difficult than practicing data science?br>



Schedule:
13:00 Quick Networking Session
13:30 Hyperight Café
14:00 Practical Case Study
14:30 Expert insight
15:00 Networking break
15:30 Roundtable discussion
16:45 Group summary and key takeaways
17:00 Seminar ends
6 September 2016 - Venue: 7A Odenplan

Many agree that in few years from now, companies will no longer fight for products, they will be fighting for data, customer data to be more exact. To acquire and retain customers, companies will have to assess their competencies in using data and advanced analytics to develop actionable insights. By taking customer data that is held internally and adding what people have said (Social Media) and done (regulatory, CRM, buying behaviour, customer complaints, etc.), companies can map out what customers are likely to do next.

This seminar will give participants the opportunity to learn and discuss how different organization utilize Big Data and Analytics to identify, attract and retain customers.

Preliminary discussion Points

· The importance of customer analytics
· How to use data to drive more in-depth customer engagement?
· What data sets should you collect to drive real marketing value?
· Who Your Customer Is: Tactics to identify your core audience - and appeal to them?
· How to link customer data to company processes?
· Building an experience factory - how to blend digital analytics and customer journey mapping to create true experience
· How to leverage analytics to improve Social Media Marketing Initiatives?




Schedule:
13:00 Quick Networking Session
13:30 Hyperight Café
14:00 Practical Case Study
14:30 Expert insight
15:00 Networking break
15:30 Roundtable discussion
16:45 Group summary and key takeaways
17:00 Seminar ends
6 October 2016 - Venue: 7A Odenplan

Human resources departments are getting serious about analytics. What HR analytics does is link business data and people data, which can help establish important connections later on. The key aspect of HR analytics is to conclusively show the impact the HR department has on the organization as a whole. Establishing a cause-and-effect relationship between what HR does and business outcomes - and then creating strategies based on that information - is what HR analytics is all about.

This workshop seminar will look at ways organizations can use their wealth of employee data to make better decisions about their workforces and improve operational performance.

Preliminary Discussion Points

· The underlying value of HR analytics
· Is it just a hype?
· Using HR Analytics to acquire, maintain, develop, and retain the right employees.
· Ways to enable HR professionals to benchmark the organization´s progress against industry best practices.?
· Common mistakes made once implementing Big Data Technology?
· New way to support pre-defined and ad hoc analysis, forecasting, and modeling to quantify human capital assets and support fast, strategic decision-making.




Schedule:
13:00 Quick Networking Session
13:30 Hyperight Café
14:00 Practical Case Study
14:30 Expert insight
15:00 Networking break
15:30 Roundtable discussion
16:45 Group summary and key takeaways
17:00 Seminar ends
08 December 2016 - Venue: 7A Odenplan

Schedule:
13:00 Quick Networking Session
13:30 Hyperight Café
14:00 Practical Case Study
14:30 Expert insight
15:00 Networking break
15:30 Roundtable discussion
16:45 Group summary and key takeaways
17:00 Seminar ends

DATA INNOVATION SUMMIT


DATA ANALYTICS - DATA SCIENCE - DATA GOVERNANCE - CUSTOMER ANALYTICS - DATA QUALITY - DATA ARCHITECTURE



30+
speakers

on stage

12
hours

of premium content

300
minutes

of pure networking

300+
participants

expected

Full 2017 schedule

will be promoted shortly

Speak on our 2017 Edition


Speakers are what makes events stand out. Data Innovation Summit is bringing the most innovative minds, practitioners, experts and thinkers on two stages to inspire and present to the delegates new innovative ways to work and innovate through their data. If you have a project with a clear outcome of data innovation, new enlightening path to work with data, or ways how to prepare data to enable innovation, this is the right place for you to be on stage. We accept both business and technical presentations. Click on the button bellow and we will meet you half the way.


Apply to Present



Thanx to our 2016 Speakers
EDUCATE - ENGAGE - EXCITE - EMPOWER


speaker-1
Henrik Gothberg
Director Group Financial Systems

Vattenfall

Ingo Paas
Ingo Paas
Head of Corporate IT Innovation & Digitalization

Ica Group

Johan Magnusson
Johan Magnusson
PhD, Department of Applied IT

University of Gothenburg

Kerstin Anderson
Kerstin Anderson
CFO and Vice President

IL Recycling

Robert Luciani
Robert Luciani
Data Scientist Expert

Christer Bodell
Christer Bodell
Senior Advisor

SAS Institute

Cecilia Hellstadius
Cecilia Hellstadius
Head of Business Analysis, Ericsson Group Analytics

Ericsson

Daniel Tidström
Daniel Tidstrom
Data Scientist and analytics architect

Svenska Spel

Hakan Borg
Hakan Borg
CRM analyst/Data Sceince

Coop Sweden AB

Diego Galar
Diego Galar
PhD, Professor of Condition Monitoring

Lulea University of Technology

Jeff Matthews
Jeff Matthews
Director, Talent Solutions, Northern Europe & Growth Markets

Linkedin

Sara Mundt Petersen
Sara Mundt Petersen
Head of Customer Relation Management

TUI Nordic, Fritidsresor

Errol Koolmeister
Errol Koolmeister
Data Sceintist

Vodafone

Jesper Fredriksson
Jesper Fredriksson
Data Scientist

TV4

Maria Ravengĺrd
Maria Ravengĺrd
Interactive Art director

TV4

Erik Zeitler
Erik Zeitler
Data Infrastructure Architect

Klarna

Fredrick Karlsson
Fredrick Karlsson
CIO, Facility Manager

Hogia

Mats Johansson
Mats Johansson
Solution Architect EMEA

Hortonworks

Benjamin Ernryd
Benjamin Ernryd
CIO

Parks and Resorts Scandinavia AB

Anders Arpteg
Anders Arpteg
Head of Analytics Research Stockholm

Spotify

Andy Cotgreave
Andy Cotgreave
Data Visualization Expert

Tableau Software

James Richardson
James Richardson
Business Analytics Strategist

Qlik

Katarina Hansson
Katarina Hansson
Industry Director

Teradata

Torben Noer
Torben Noer
WW Analytics Client Architect Leader

IBM

Robert Mellor
Robert Mellor
General Manager

WhereScape Europe

Frederik Naessens
Frederik Naessens
Senior Solution Architect

WhereScape

Rado Kotorov
Rado Kotorov
Chief Innovation Officer and Vice President of Market Strategy

Information Builders

Alexander Bartfeld
Alexander Bartfeld
EMEA VP of Services

Cloudera

Saulius Valatka
Saulius Valatka
Technical Lead

Adform

Ashwin Desikan
Ashwin Desikan
Head of Business Intelligence

Adform

Luke Whelan
Luke Whelan
Business Analytics Lead

Linkedin

Martin Holmstrand
Martin Holmstrand
Business Intelligence Manager

Ellevio/p>

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Welcome to Data Innovation Summit

Daniel Castro from the Center for Data Innovation, said "If oil was the fuel of the twentieth-century economy, data will be the fuel of the twenty-first century."

Indeed, data today is the most important enterprise asset. It enables organizations to better understand the complex business world around them and use that insight to improve decision making. With that, big or small, data has the potential to drive innovation in a broad range of areas from increasing profit margins to improving customer experience and quality of products and services.

Data itself is not valuable. Data is a resource, much like water or oil, and like any resource, data can do little on its own. Value is created by working with it to innovate, invent, change business processes, and enhance decision making. Today, we know a lot about how to collect, store, analyze, use and disseminate data. Technology has made this easy and cheap. However, although we now have the tools to turn enterprise data into insight, still many organizations are having difficulties to adopt these technologies and realize the potential of data-driven innovation.

Data-driven innovation is much more than just extraction of data and analytics. It is a cross-functional and complex discipline that requires skilled workforce, innovative technology, and access to quality data. We cannot discuss enterprise data-driven culture and innovation without addressing some of the biggest challenges in data management today like: enterprise wide approach to data management, data governance, data security, legal issues, technology and techniques, organizational change, talent and industry structure.

Thus, data as a business driver can be transformative for organizations only if and when the above listed challenges are being successfully tackled resulting in optimal data power realization and utilization. All the stakeholders involved from leadership, to data scientists and policy makers need to understand the growing challenges of data and proactively counter them as the data evolves. this way we can create an innovative culture that promotes and appreciates the use of data for everyones benefits.

As data-driven innovation is still in its infancy, there is a need for a benchmarking and knowledge-sharing platform. As mentioned, data-driven innovation requires skilled workforce, innovative technology, and access to data. The Data Innovation Summit purpose is to bring the entire data ecosystem (the public and private sector, academia, solution providers, experts, start-ups, recruitment companies and media) in Sweden and beyond to share ideas, discuss challenges, benchmark best practices and present latest technology and research in the area.

The summit will serve as an intro to a more in depth seminars on specific topics that Hyperight will organize throughout the year.

We are looking forward seeing you in Stockholm. We have a lot discuss.

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Thanks to our 2016 Sponsors

Official 2016 Media Partner

About the venue

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Contact us

  • Hyperight AB
  • info@hyperight.com
  • +46 (0) 840 80 4497

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