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Why Visual Storyboarding is the Future of Useful and Intelligent Analytics

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Could Visual Storyboarding bridge the gap between business intelligence and data science? We sure think so.

As the keynote speaker at the Microsoft PASS BAC 2015 conference, this was the topic of my presentation.  Starting out in the data science field (literally doing hardcore SAS IBM mainframe stuff), it’s quite fascinating to watch data science become such a critical evolution of analytics.  Without it, the Internet of Things has little value.
 
I’m very open in my keynotes about how hard it was for me to transition mentally from being a Sr. Research Analyst, using SAS to report college football stats to Forbes, to using Excel sheets. I regurgitated every time I witnessed how easy it was for analysts in Fortune 500 companies to ‘manufacture’ numbers and then allow an unknowing CFO to bank the company’s future on them. I quickly got labeled ‘a troublemaker’ for asking too many ‘detailed’ questions:
  • Can you prove those numbers?
  • What is the causation?
  • Did you check to see if they have any real correlation?
Let’s just say, I eventually found my home with data visualization.
Using pictures to communicate was the only way to get the business and IT folks on the same page.
Because of this, I am under the notion that data visualization in any form can be the common language between business users, techies, and data scientists.  It is disheartening to see the wide gap that exist between business intelligence professionals and data scientists today.  IT teams continue to lose value due to their lack of data understanding, while the average data scientist with a Ph.D. while brilliant, usually lacks any industry experience.
While the focus of my keynote was on how to use one particular type of data visualization, namely ‘visual storyboards’, you should take baby steps.

In one of our podcast interviews with the famed author of the ‘Functional Art’, Alberto Cairo recommends the following beginner first steps for newbies:

"Sketch ideas using pencil and paper and crayons if you need color, and then you work on the computer."
Alberto Cairo
He also provides some great insights into the struggle that both techies, data scientists and journalists have when expressing data, and how to overcome it.   
 
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Do you feel this notion of using visual storytelling to bring business and data science together is correct? 

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Mico Yuk

Mico Yuk

As the Co-founder and CEO of BI Brainz, I've been in the Business Intelligence/Analytics industry since 2009. Trained 10K+ using our methodologies and frameworks! I love our amazing team and community! I share my passion for data to 20,000+ followers via the Analytics on Fire Podcast, our BI Brainz academy, blog, social media, global keynotes, training, and workshops. Our model is simple. We take what is successful for our customers and teach it! I'm a bonafide beach bum on days off!
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