Background

What is Data Visualization ?
Data visualization is a general term that describes any effort to help people understand the significance of data by placing it in a visual context. Patterns, trends and correlations that might go undetected in text-based data can be exposed and recognized easier with data visualization software.

Why Data Visualization ?
A primary goal of data visualization is to communicate information clearly and efficiently via statistical graphics, plots and information graphics. Numerical data may be encoded using dots, lines, or bars, to visually communicate a quantitative message. Effective visualization helps users analyze and reason about data and evidence. It makes complex data more accessible, understandable and usable. Users may have particular analytical tasks, such as making comparisons or understanding causality, and the design principle of the graphic (i.e., showing comparisons or showing causality) follows the task. Tables are generally used where users will look up a specific measurement, while charts of various types are used to show patterns or relationships in the data for one or more variables.

Data visualization is both an art and a science. It is viewed as a branch of descriptive statistics by some, but also as a grounded theory development tool by others. The rate at which data is generated has increased. Data created by internet activity and an expanding number of sensors in the environment, such as satellites, are referred to as “Big Data”. Processing, analyzing and communicating this data present a variety of ethical and analytical challenges for data visualization. The field of data science and practitioners called data scientists have emerged to help address this challenge.

Because of the way the human brain processes information, using charts or graphs to visualize large amounts of complex data is easier than poring over spreadsheets or reports. Data visualization is a quick, easy way to convey concepts in a universal manner – and you can experiment with different scenarios by making slight adjustments.

Data visualization can also:

  • Identify areas that need attention or improvement.
  • Clarify which factors influence customer behavior.
  • Help you understand which products to place where.
  • Predict sales volumes.

UNICOM is Organising one day workshop event on Data visualization on 5 December and one day conference on Data visualization on 6 December, Brussels.

This event will bring together industry professionals and thought leaders from the field of Data Visualization. It will help you in understanding and implementing data visualization in your business/for your client . It will also provide an excellent opportunity to interact and network with some of the top minds.

Call for Participation

We are looking for speakers willing to share their experiences and stories about their work in the field of Data visualisation. If you wish to submit a proposal to present at this event please fill in the speaker’s response form.

There’s no “right” answer here, but some topics that we’re always looking for include:

  • Identify different types of data visualizations and how to use them effectively
  • Practice using data visualization methodology with a real data set to uncover business insights
  • Describe the business value in visualizing data – new methods and approaches
  • Infographics and Data Visualization Fundamentals
  • The many new methods and approaches for visualising data
  • How to use dataviz as a new lens for communication of ideas and stories
  • Storytelling with Data Visualisation & Mastering Data Communications
  • Data Visualisation Tools & Techniques
  • How Visualization helps my e-commerce start-up to grow
  • How visualization helps in Market research
  • Rethinking Visualization Best Practices
  • Big Data Visualization: from Ugly to Neat to Alive
  • Data Innovation to Power Intelligent Business Decisions
  • Data Visualization, Uncertainty & Measurement Error

Programme

  • 09:00 -

    Coffee and Registration

  • 09:40 -

    Start of conference – Chairperson’s introduction and welcome

  • 09:45 -

    Keynote: Storytelling with Data Visualisation & Mastering Data Communications

    Patrice Latinne, Executive Director, EMEIA Financial Services, Data & Analytics Advisory, Ernst & Young Special Business Services

    Facts get recorded, stories get remembered... Telling a story on top of good visualization of facts allows us to send the right data-driven message through to the right audience. In this talk, Patrice will illustrate this with some famous or personal use cases.

    Speakers:

    Patrice Latinne

  • 10:30 -

    Coffee break

  • 11:00 -

    Deceiving Data Visualization

    Leenke De Donder, Data Visualization Consultant at TriFinance

    Even after meticulous data gathering, cleansing and analysing, you can still ruin your data project in the end by visualizing your data wrongly. After all your hard work, this will (intentionally or not) skew the message. Being aware of specific design pitfalls, but also of moral values, transparency and the literacy of the audience is important to avoid an inaccurate communication of data.

    Speakers:

    Leenke De Donder

  • 11:45 -

    Bloomberg's Approach to Data Visualisation

    Flow Bohl, UX Architect, Bloomberg New Energy Finance

    ♦ What is the Bloomberg approach to data visualisation?
    ♦ How does animation matter in data viz?
    ♦ How can data viz be made feasible for large scale consumption on web and video?

    Speakers:

    Flow Bohl

  • 12:30 -

    Speaker Panel and Q&A Session

  • 13:00 -

    Lunch

  • 14:00 -

    Seven Steps to Achieving the Ultimate BI Visual Quick Win

    Nicolas Henry, Managing Director, BI Brainz Limited

    Discover what you need to achieve the ultimate BI Visual Quick Win

    ♦ Find out where most BI visual projects fail and how to avoid it
    ♦ Learn how to qualify a BI Visual Quick Win, and when to say 'No'
    ♦ Learn what skillsets you must have to succeed, and what to do if you don't
    ♦ Get a peek into a real-world example of BI Visual Quick win and see why it worked!

    Speakers:

    Nicolas Henry

  • 14:45 -

    Case Study: Recommendation Engines: optimizing mean square error or user experience?

    Kasper Van Lombeek, Data Scientist and Co-Founder, Rockestate

    Since the 1 million euro contest to improve the performance of the Netflix recommendation engine, recommender algorithms are one of the hottest topics in data science today. That is why we, passionate data scientists, had to build our own recommendation engine. As young fathers with lots of friends having babies, we asked ourselves: can we build a service that finds out your taste and recommends a baby name for you? Today we have a solid website www.namesilike.com that does exactly that.

    With today’s online tutorials, it is not very difficult to learn how to build a recommender system based on a dataset. Those tutorials only talk about mathematically optimizing the algorithm. But that is not what you have to optimize! You have to set up a whole process online, starting from finding out the user’s taste with the least possible effort, and ending with showing the recommendations. The difference between optimizing the accuracy versus the user experience is enormous. For example: some of the most interesting algorithms create beautiful visualizations of your products. Although you lose a bit in prediction power, the gain in user experience is enormous. In our talk we highlight some of these trade-offs. They are all real lessons learned on Names I Like, validated by thousands of user clicks.

    Speakers:

    Kasper Van Lombeek

  • 15:30 -

    Tea Break

  • 15:45 -

    Winning Ways for Your Visualization Plays

    Mark Grundland, Functional Elegance

    What enables an effective visualization to deliver insight at a glance? This talk presents practical techniques for how information visualization design can take better account of the fundamental limitations of visual perception, exploring the design choices that determine whether a picture can communicate the data it is meant to represent.

    Speakers:

    Mark Grundland

  • 16:30 -

    Speaker Panel and Q&A Session

  • 17:00 -

    Close

Speakers

Flow Bohl

UX Architect, Bloomberg New Energy Finance

Leenke De Donder

Data Visualization Consultant at TriFinance

Mark Grundland

Functional Elegance

Nicolas Henry

Managing Director, BI Brainz Limited

Patrice Latinne

Executive Director, EMEIA Financial Services, Data & Analytics Advisory, Ernst & Young Special Business Services

Kasper Van Lombeek

Data Scientist and Co-Founder, Rockestate

Sponsors

This is a great opportunity to strategically brand your organization. As a sponsor, you will receive a tremendous amount of visibility and numerous other benefits at the conference.

To know more please write to us at info@unicom.co.uk

Media Partners

 

Tickets

4 people attend for the price of 3

  • Use the coupon code "DV443" when booking.
  • Buy Ticket

End Users

  • Early Bird until 3 Nov - € 325
  • Standard Rate - € 425
  • Buy Ticket

Vendors and Solution Providers

  • Early Bird until 3 Nov - €525
  • Standard Rate - €625
  • Buy Ticket

Venue

  • Bedford Hotel and Congress Centre, 135-137 Rue du Midi B-1000 Brussels
The Event will start in