Designing Outside of Yourself: Data Visualization without the Explanation
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  Gregory Kaminski   Gregory Kaminski
Senior Manager, Digital Analytics
MaassMedia, LLC


Wednesday, April 20, 2016
02:00 PM - 02:45 PM

Level:  Intermediate

The need for advanced data visualization is immense as the quality, granularity and volume of data continues to grow beyond our expectations. At the current pace, the world is actually creating more data then there is room for it to be stored. New devices, applications, websites and interfaces are hitting the market every day. Our job is to make sense of this data: Organize it. Analyze it. Act on it.

So now that you’ve got your dashboard built it’s time to hand it off, but before you can do so you’ve got to walk the end user through its functionality. What if you could design a dashboard intuitively so that the end user instinctively understood how it works?

What you’ll learn:

  • Preparation and planning for an intuitive design
  • How to design from the end-users perspective
  • How to choose the correct chart type for your data set
  • Color theory and design concepts
  • Designing for multiple end-user device types

Gregory Kaminski has a knack for bringing creativity to the world of data. As a marketing analytics leader residing in Philadelphia, he’s spent his career analyzing data and providing insight to drive decision making and strategic growth. Gregory's career began in the finance industry where he analyzed data as part of the credit and loan approval process for a large financial institution. He then transitioned to the retail world where he supported a multi-channel women's fashion brand for 7 years. Assuming planning and strategy responsibilities, he communicated with customers through direct channels such as catalog, mobile, telemarketing and email to retain their business and increase their spend. Most recently Gregory has been gaining experience and knowledge as a consultant for MaassMedia, a boutique digital analytics firm offering services such as data collection, analysis, testing & optimization, reporting and data visualization.

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