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Data Visualization Summit


28 Sep 2017


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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 a one day workshop on Data Visualization on 27 September and a one day conference on Data Visualization on 28 September 2017 in London. 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 in this area.

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