Presented By
O’Reilly + Cloudera
Make Data Work
March 25-28, 2019
San Francisco, CA

Extracting stories from your data and telling them visually: It can be done; we'll show you how

4:00pm4:30pm Tuesday, March 26, 2019
Secondary topics:  Visualization, Design, and UX
Average rating: ***..
(3.50, 6 ratings)

Whether you are a tech or biz professional, you must master the art of visual storytelling with data. But first, you have to find the story worth telling that’s hidden in your data. Join Ambal Balakrishnan to learn how. As with many things in life, visual storytelling with data will take practice. But that doesn’t mean you can’t accelerate your learning from others’ mistakes and successes.

Topics include:

  • Why visual, interactive storytelling with data is important against the backdrop of the diminishing attention economy
  • A storytelling framework
  • Practical tips for visual storytelling with data
  • Examples of smart, engaging visual storytelling with data
Photo of Ambal Balakrishnan

Ambal Balakrishnan

IBM

Ambal Balakrishnan is a digital segment lead for IBM Analytics within the Data Organization at IBM. A technology-focused product management/marketing leader with a strong track record of leading strategic growth, she leads digital transformation and growth of the Data Organization segment of the IBM Analytics portfolio by creating and bringing to market digital and SaaS product offerings. Previously, she was worldwide content marketing leader for systems hybrid cloud DevOps, where she managed content marketing strategy, digital content design, and production to drive business results, and worked on worldwide marketing and positioning of Cisco’s cloud and data center switching business. Ambal holds a master’s in computer science from Purdue University and an MBA in marketing, strategy, and entrepreneurship from the Wharton School at the University of Pennsylvania.

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Comments

Juan Ramirez | SYSTEMS ENGINEERING DATA ANALYST
03/26/2019 9:25am PDT

Engaging speaker with practical tips for storytelling with data.