On-Demand Webinar

Dirty data? Tableau Prep to the rescue

Anyone who's ever analyzed data knows the pain of digging in “dirty data” only to find that it is poorly structured, full of inaccuracies, or just plain incomplete. Just see how Tableau Prep can help you deliver better insights faster with self-service data preparation.

Remove the 80% of time analysts spend preparing data. Access, combine, prep, clean your data and push directly into Tableau for faster analysis and insight.

Here’s a sneak peek of what you can expect to learn:

  • Discover Tableau Prep, the newest member of the Tableau Platform – a visual, direct tool to help you prepare your data and overcome common data preparation issues
  • See different examples of how Tableau Prep can be used in a self-service mode to connect, combine, clean your data
  • Understand how you can review your data before exporting it into Tableau to continue your analysis

To learn more about how you can begin using Tableau, please contact:

Julien Sigonney – Global Account Manager for BNPP, Tableau

Bruno De Matos – Enterprise Sales Representative for BNPP, Tableau

About the speakers


Ariane Lion-Giustiniani

Product Consultant, Tableau

Ariane is an associate product consultant at Tableau based in our London office. Prior to Tableau, Ariane studied Information Management for Business at University College London. Combining computer science and business, this course led her to work on various projects considering the implications of a society increasingly blurring the lines between our physical and digital worlds. She soon realised her passion for interaction design and put her focus on developing diverse mobile application prototypes, always driven by the same line of thought: technology is a change catalyst. Following this way of thinking, Ariane joined Tableau with the mission to empower people and organisations with their data and ultimately help them thrive in our complex society.


Bruno de Matos

Entreprise Sales Representative, Tableau

Voir son Profil LinkedIn

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