Data Visualisation Summit

This premier B2B event will exhibit new Data Visualisation trends and challenges. It will help to identify effective approaches and UX solutions to develop visualisation literacy and facilitate the exploration of data for non-technical users.

Over the course of two days, the summit will begin with a focus on the impact of Dataviz on companies’ decision-making and how worldwide leading organisations are taking advantage of it in their BI strategies to increase efficiency and innovation. From its application in machine learning and collaborative BI, to the creation of an Agile process through interactive reporting and real-time dashboards, this will be explored.

On day 2, we will carry on with this topic but offer two parallel tracks for attendees to choose from:

Track A – Data storytelling

This track will focus on the use of data-driven sales & marketing strategies to understand costumer behaviour and drive targeting and engagement.

We will talk about data exploration and the power of data journalism as a new lens of communication for ideas and stories.

Finally, yet importantly, we will talk about trustworthy data and how easy is to deceive people with visualisations.

Track B – Techie trends

Track B will focus on the toys and trends for the techie in all of us. This includes, the pros and cons of applying VR and AI into Data Visualisation, data sketching and processing, and how to clean data in order to reduce errors without missing any important information. We will also talk about algorithms, languages, systems, and hardware solutions for Data Visualisation. Furthermore, in this track we will provide hands-on opportunities to use the Dataviz tools. These workshops will show how to implement these tools in order to optimise visualisation performances.

Last but not least, we will talk about the risks of using online visualisation open tools. It is an honour and privilege to invite you to participate in this Summit. We look forward to welcoming you at the Summit in Berlin, this April!

Key Practical Learning Points of the Summit:

  • Approachable data: How to improve Data Visualisation (Dataviz) literacy
  • The importance of UX/UI in design solutions
  • NLP and self-service analytics
  • Predict & prescribe: The impact of Data Visualisation on decision-making
  • Dataviz applications in machine learning and security
  • Data Visualisation for collaborative BI and mobile BI
  • Agile data: Interactive reporting and real-time dashboards
  • How Data Visualisation can improve your sales & marketing strategy
  • Visual analytics for social media
  • The sense-making loop: Data exploration & data storytelling
  • Deceptive data: Trust vs. truth
  • VR & AI applications for Data Visualisation
  • Data sketching, processing, and cleaning
  • Algorithms, languages, systems, and hardware solutions for Data Visualisation
  • Best practices for self-service charting and visual tools
  • Data security: Risks of using online visualisation open tools
  • Virtual reality
  • Aguamented reality

Who Should Attend:

Chief Executives, Directors, Vice Presidents, Department Heads, Leaders and Managers specialising in:

  • Architecture & Technology
  • Data Science & Engineering
  • Big Data
  • Metadata
  • Data Production & Development
  • Data Warehouse
  • Data Visualisation
  • Data Analysis
  • Data Mining
  • Data Exploration
  • Data Journalism & Data Storytelling
  • Data Literacy
  • Data Strategy
  • Data Security
  • Graphic Design
  • UX/UI
  • Cognitive Computing
  • Visual Tools
  • Analytics
  • Reporting & Insights
  • Business IT
  • Business Intelligence (BI)
  • Business Development
  • Business Analytics & Insights
  • Corporate Business Information
  • Probabilistic Simulations
  • Predictive Analytics & Modeling
  • Performance Analytics
  • DSS
  • Risk Management
  • Agile Methodologies
  • Machine Learning
  • Artificial Intelligence
  • Collaborative BI
  • Mobile BI
  • VR & AR
  • Sales & Marketing
  • Social Media Marketing & Insights
  • Customer Experience & Customer Intelligence
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