TMCNet: Data Visualization Summit (Brussels, Belgium - December 6, 2017) - Research and Markets

[October 17, 2017]

Data Visualization Summit (Brussels, Belgium - December 6, 2017) - Research and Markets

The "Data Visualization Summit" conference has been added to Research and Markets' offering.

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 othes. 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.

Agenda:

Big Data Visualization: from Ugly to Neat to Alive

Infographics and Data Visualization Fundamentals

The many new methods and approaches for visualising data

Data Visualisation Tools & Techniques

Learn how Data Visualization helps to increase revenue and find right Target (News - Alert) customers - Via a Real Life Example

Rethinking Visualization Best Practices

Storytelling with Data Visualisation & Mastering Data Communications (News - Alert)

Practice using data visualization methodology with a real data set to uncover business insights

Data Visualization in the era of machines

Visualising Machine Learning

For more information about this conference visit https://www.researchandmarkets.com/research/dtx62k/data


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