Don’t forget the “Science” in Data Science

Just a reminder to everyone out there: This isn’t Data Magic….it is Data Science.  The word ‘science’ is included there for a reason. I would LOVE for magic to be involved in data analytics. I could then whip up a couple of spells and say “abra cadabra’ and have my data tell me something meaningful. […]

You (probably) don’t need Machine Learning

Statistically speaking, you and/or your company really don’t need machine learning. By ‘statistically speaking’, I mean that most companies today have no absolutely no need for machine learning (ML). The majority of problems that companies want to throw at machine learning are fairly straightforward problems be ‘solved’ with a form of regression.  They may not be the simple […]

Your data project is going to fail

I hate to be the bearer of bad news….but your data project is going to fail. Maybe not the one you’re working on today. Maybe not the one you’re starting next month. Heck, maybe not the one you don’t even know about yet…but at some point in the future – if you stay in the data world […]

Big Data isn’t the answer

In a recent speech, John Costello, former president of Dunkin Donuts, is reported to have said “Big data is not a strategy…”. Well…let me say that big data isn’t the answer. I wish I had said that sometime in the past few years. I think I’ve similar things but I haven’t come right out and said those […]

Data Analytics – Data Modeling, a Necessary first step

What do you think of when you hear the term ‘data modeling’? Just typing ‘data modeling’ almost made me go to sleep.  Who am I kidding…I’m a data geek and this stuff is interesting…but some folks aren’t quite as excited by this stuff as I am. Data modeling has many different definitions and connotations.  For […]

Data Analytics – The importance of Data Preparation

How many of you would go sky diving without learning all the necessary precautions and safety measures necessary to keep you alive? How many of you would let your kid drive your car without first teaching them the basics of driving?  While not as life-and-death as the above questions, data preparation is just as important to […]

Data Analytics – Prescriptive vs Descriptive

You’ve collected tons of data. You’ve got terabytes and terabytes of data. You are happy because you’ve got data. But, what are you going to do with that data?You’ll analyze it of course. But how are you going to analyze it and what are you going to do with that analysis? How does data analytics come […]

What digital projects should you be chasing?

I was talking to a CMO today about their current and future plans for digital projects. We were talking about data analytics, customer experience, technology, social media and other topics when the CMO asked what the ‘next’ project or technology that she and her team should be chasing. She asked: We’ve talked about all data, social, […]

Don’t get “Theranosed”

Kaiser Fung just posted a blog titled “Tip of the day: don’t be Theranosed” where he defines “theranosed” as: Theranos (v): to spin stories that appeal to data while not presenting any data To be Theranosed is to fall for scammers who tell stories appealing to data but do not present any actual data. This […]

Good data science isn’t about finding answers to questions

I just finished reading an article over on Fast Company titled “How Designers Are Helping HIV Researchers Find A Vaccine.”  The story related in this article is a perfect example of what ‘good’ data science looks like.  The data scientists and designers worked together to build a platform that made it easy for anyone to dive […]