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post: Buzzwords & Bullsh!t: Big Data – Understanding the Myth

 “Big data is like teenage sex: everyone talks about it, nobody really knows how to do it, everyone thinks everyone else is doing it, so everyone claims they are doing it.”    This all-too-true analogy is attributed to Duke Professor Dan Ariely. Big Data, its connotations, and its often-incorrect implications, also are a pet-peeve of […]

post: Buzzwords & Bullsh!t

“Wise men speak because they have something to say; fools speak because they have to say something.”     -Plato The goal of the NCS blog series has been to give the reader unique insights, be it into the startup life through “Founders Corner”  or a better understanding of a specific methodology or treatment through “Nerding […]

post: Take a Snapshot: Using Vector & Raster Data in Mapping

Spatial relationships have been and always will be a relevant part of life; any piece of data which can be observed in space and time can be mapped and visualized. This geospatial data is typically stored in one of two forms: raster and vector. Raster data is organized as a grid, every square of which […]

post: Some Models Don’t Tell the Truth – Using Statistical Models Realistically

“All models are wrong, but some are useful.” This quote, well-known to statisticians, comes from one of the most influential figures in statistics, George Box. The point that Box was making is one that is misunderstood by many data analysts, from novices to experienced researchers: every statistical model is an approximation to reality. To understand […]

post: How to Use Regression and Classification in the Regulatory Space

When it comes to analyzing data there are a variety of methods that can be used. But most applications of data analytics today fall under one of two categories: regression and classification. Regression is the process of using past data to predict the future value of a continuous numerical variable. This can include anything from […]

post: Qualitative vs. Quantitative: Which Method Should You Use?

Any analytics project, whether analyzing for compliance in cannabis regulations or measuring market dynamics over time, begins through understanding the data available. Data can be placed broadly into two categories: quantitative and qualitative. These categories determine whether statistical and/or mathematical techniques are appropriate for the research. Quantitative data encompasses any information represented in a numeric […]

post: How to Do a 30 Second “Elevator Pitch” when Everything Your Company Does is CONFIDENTIAL

Businesses are often faced with the challenge of doing a concise value proposition, commonly referred to as the “elevator pitch”.  This is especially true for start-ups!  Fairly often for companies who deal with highly confidential technologies and market data, even the basic value proposition has to remain somewhat veiled because disclosure can compromise the integrity […]

post: People Lie, but Data Does Not

If there’s one thing that drives me nuts about parenting, it’s lies. Me: Who left one spoonful of ice cream in the container? Kids: Wasn’t me Me: Who was using my tablet? I know I wasn’t playing Fortnite. Kids: Wasn’t me Me: Where did you get all those packets of sugar that are now empty […]

post: Founder’s Corner: What’s in a Name?

What’s in a name? Over 400 years ago, William Shakespeare posed this question in his romantic tragedy, “Romeo and Juliet.”  He followed up that question with the proclamation that a rose, by any other name, would still, in fact, smell the exact same. I’m paraphrasing, of course.  “But Adam,” you might be asking yourself, “what […]

post: Founder’s Corner: the Standard Introduction

As the title would suggest, the point of this very first blog post isn’t so much to shock, entertain or motivate, but more so I can introduce/warn you about what you can expect here in this new blog series. I would assume that if you have made it this deep into our website you are […]