Author

Leo Sadovy
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Marketing Director

Leo Sadovy currently manages the Analytics Thought Leadership Program at SAS, enabling SAS’ thought leaders in being a catalyst for conversation and in sharing a vision and opinions that matter via excellence in storytelling that address our clients’ business issues. Previously at SAS Leo handled marketing for Analytic Business Solutions such as performance management, manufacturing and supply chain. Before joining SAS, he spent seven years as Vice-President of Finance for a North American division of Fujitsu, managing a team focused on commercial operations, alliance partnerships, and strategic planning. During his 13-year tenure at Fujitsu, Leo developed and implemented the ROI model and processes used for all internal investment and commercial decisions. Prior to Fujitsu, Leo was with Digital Equipment Corporation for eight years in financial management and sales. He started his management career in laser optics fabrication for Spectra-Physics and later moved into a finance position at the General Dynamics F-16 fighter plant in Fort Worth, Texas. He has an MBA in Finance, a Bachelor’s in Marketing, with a Masters in Analytics currently in progress. He and his wife Ellen live in North Carolina with their three engineering graduate children, and among his unique life experiences he can count a singing performance at Carnegie Hall.

Data Visualization
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How to make your pie chart worse

You have all seen, or perhaps even created, some really bad graphics: Cluttered, confusing, too small, incomprehensible. Or worse, the author may have committed one of the three unforgivable sins of data visualization by deceptively distorting a map, truncating the axis so as to misrepresent the data, or used double

Leo Sadovy 0
Big: Data, model, quality and variety

The “big” part of big data is about enabling insights that were previously indiscernible. It's about uncovering small differences that make a big difference in domains as widespread as health care, public health, marketing and business process optimization, law enforcement and cybersecurity – and even the detection of new subatomic particles.

Machine Learning
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Neural networks demystified

You’ve likely heard the news that the Google DeepMind “AlphaGo” computer not only beat a human expert at the game of Go, defeating the European Go champion, Fan Hui in five straight games, but also beat the reigning world champion grandmaster, South Korea’s Lee Sedol, 4 games to 1. Go

Leo Sadovy 0
Tell me something I don’t know

What is information? The lack of a working definition plagued both science and the emerging telecommunications industry until the arrival of Claude Shannon and his famous 1948 paper, “A Mathematical Theory of Communication”, based on his cryptography work during WWII while at Bell Labs.  The landmark article is considered the

Leo Sadovy 0
Painting with big data analytics

Big data, by which most people mean Big Volume, doesn’t get you very far just by itself, but with the addition of Big Variety and analytics, now you’re talking. In fact, most organizations who are making headway into capitalizing on their data assets now refer to the process as "big

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Big Model: The necessary complement to big data

With all the hype over big data we often overlook the importance of modeling as its necessary counterpart. There are two independent limiting factors when it comes to decision support: the quality of the data, and the quality of the model. Most of the big data hype assumes that the data

Data Visualization
Leo Sadovy 0
Visualization – Worth a thousand words

Why visualization? Several reasons, actually, the most compelling being that sometimes visualization literally solves the problem for you. I remember an exercise in eighth grade English class where we were asked to describe, in words only, an object set in front of us with sufficient clarity such that our classmates,

Analytics | Data Visualization
Leo Sadovy 0
Why build models?

We are all modelers.  Whenever you plan, you are building a model.  Whenever you imagine, you are building a model. When you create, write, paint or speak, you first build in your head a model of what you want to accomplish, and then fill in the details with words, movements

Leo Sadovy 0
Agile strategy, revisited

You know that feeling when all your ducks appear to be in a row, all the numbers add up, all the boxes have been checked, but you’ve still got a sneaking suspicion that something is wrong?  I’m not talking just gut feel here, more along the lines of, “The logic

Data Visualization
Leo Sadovy 0
The new map of global manufacturing

any factors go into your strategic global business decisions, from the physical placement of factories and distribution centers, to your choice of suppliers and partners, to your target markets and the business model itself. Businesses have a choice of fundamental global go-to-market investment strategies, from direct foreign investment on the one

Analytics
Leo Sadovy 0
Ye Olde information overload

“There’s no such thing as information overload - there is only filter failure”.  ~ Internet scholar Clay Shirky Information overload is not just a recent phenomenon, it entered into human experience in the middle of the 15th century with Gutenberg and his printing press, and we’ve been devising ways to cope

Data Management
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Big Silos: The dark side of Big Data

The bigness of your data is likely not its most important characteristic. In fact, it probably doesn’t even rank among the Top 3 most important data issues you have to deal with.  Data quality, the integration of data silos, and handling and extracting value from unstructured data are still the most

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